Sparse |
The SparseMatrix type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Add(T) |
Adds a scalar to each element of the matrix.
(Inherited from Matrix<T>) |
| Add(Matrix<T>) |
Adds another matrix to this matrix.
(Inherited from Matrix<T>) |
| Add(T, Matrix<T>) |
Adds a scalar to each element of the matrix and stores the result in the result matrix.
(Inherited from Matrix<T>) |
| Add(Matrix<T>, Matrix<T>) |
Adds another matrix to this matrix.
(Inherited from Matrix<T>) |
| Append(Matrix<T>) |
Concatenates this matrix with the given matrix.
(Inherited from Matrix<T>) |
| Append(Matrix<T>, Matrix<T>) |
Concatenates this matrix with the given matrix and places the result into the result matrix.
(Inherited from Matrix<T>) |
| AsArray |
Returns the internal multidimensional array of this matrix if, and only if, this matrix is stored by such an array internally.
Otherwise returns null. Changes to the returned array and the matrix will affect each other.
Use ToArray instead if you always need an independent array.
(Inherited from Matrix<T>) |
| AsColumnArrays |
Returns the internal column arrays of this matrix if, and only if, this matrix is stored by such arrays internally.
Otherwise returns null. Changes to the returned arrays and the matrix will affect each other.
Use ToColumnArrays instead if you always need an independent array.
(Inherited from Matrix<T>) |
 | AsColumnMajorArray |
Returns the internal column by column (column major) array of this matrix if, and only if, this matrix is stored by such arrays internally.
Otherwise returns null. Changes to the returned arrays and the matrix will affect each other.
Use ToColumnMajorArray instead if you always need an independent array.
(Inherited from Matrix<T>) |
| AsRowArrays |
Returns the internal row arrays of this matrix if, and only if, this matrix is stored by such arrays internally.
Otherwise returns null. Changes to the returned arrays and the matrix will affect each other.
Use ToRowArrays instead if you always need an independent array.
(Inherited from Matrix<T>) |
| AsRowMajorArray |
Returns the internal row by row (row major) array of this matrix if, and only if, this matrix is stored by such arrays internally.
Otherwise returns null. Changes to the returned arrays and the matrix will affect each other.
Use ToRowMajorArray instead if you always need an independent array.
(Inherited from Matrix<T>) |
| At(Int32, Int32) |
Retrieves the requested element without range checking.
(Inherited from Matrix<T>) |
| At(Int32, Int32, T) |
Sets the value of the given element without range checking.
(Inherited from Matrix<T>) |
| Cholesky | (Inherited from Matrix) |
| Clear |
Sets all values to zero.
(Inherited from Matrix<T>) |
| ClearColumn |
Sets all values of a column to zero.
(Inherited from Matrix<T>) |
| ClearColumns |
Sets all values for all of the chosen columns to zero.
(Inherited from Matrix<T>) |
| ClearRow |
Sets all values of a row to zero.
(Inherited from Matrix<T>) |
| ClearRows |
Sets all values for all of the chosen rows to zero.
(Inherited from Matrix<T>) |
| ClearSubMatrix |
Sets all values of a sub-matrix to zero.
(Inherited from Matrix<T>) |
| Clone |
Creates a clone of this instance.
(Inherited from Matrix<T>) |
| CoerceZero(Double) |
Set all values whose absolute value is smaller than the threshold to zero.
(Inherited from Matrix) |
| CoerceZero(Func<T, Boolean>) |
Set all values that meet the predicate to zero, in-place.
(Inherited from Matrix<T>) |
| Column(Int32) |
Copies a column into a new Vector>.
(Inherited from Matrix<T>) |
| Column(Int32, Vector<T>) |
Copies a column into to the given Vector.
(Inherited from Matrix<T>) |
| Column(Int32, Int32, Int32) |
Copies the requested column elements into a new Vector.
(Inherited from Matrix<T>) |
| Column(Int32, Int32, Int32, Vector<T>) |
Copies the requested column elements into the given vector.
(Inherited from Matrix<T>) |
| ColumnAbsoluteSums |
Calculates the absolute value sum of each column vector.
(Inherited from Matrix) |
| ColumnNorms |
Calculates the p-norms of all column vectors.
Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
(Inherited from Matrix) |
| ColumnSums |
Calculates the value sum of each column vector.
(Inherited from Matrix) |
| ConditionNumber | Calculates the condition number of this matrix. (Inherited from Matrix<T>) |
| Conjugate() |
Complex conjugate each element of this matrix.
(Inherited from Matrix<T>) |
| Conjugate(Matrix<T>) |
Complex conjugate each element of this matrix and place the results into the result matrix.
(Inherited from Matrix<T>) |
| ConjugateTranspose() |
Returns the conjugate transpose of this matrix.
(Inherited from Matrix) |
| ConjugateTranspose(Matrix<Complex32>) |
Puts the conjugate transpose of this matrix into the result matrix.
(Inherited from Matrix) |
| ConjugateTransposeAndMultiply(Matrix<T>) |
Multiplies this matrix with the conjugate transpose of another matrix and returns the result.
(Inherited from Matrix<T>) |
| ConjugateTransposeAndMultiply(Matrix<T>, Matrix<T>) |
Multiplies this matrix with the conjugate transpose of another matrix and places the results into the result matrix.
(Inherited from Matrix<T>) |
| ConjugateTransposeThisAndMultiply(Matrix<T>) |
Multiplies the conjugate transpose of this matrix with another matrix and returns the result.
(Inherited from Matrix<T>) |
| ConjugateTransposeThisAndMultiply(Vector<T>) |
Multiplies the conjugate transpose of this matrix by a vector and returns the result.
(Inherited from Matrix<T>) |
| ConjugateTransposeThisAndMultiply(Matrix<T>, Matrix<T>) |
Multiplies the conjugate transpose of this matrix with another matrix and places the results into the result matrix.
(Inherited from Matrix<T>) |
| ConjugateTransposeThisAndMultiply(Vector<T>, Vector<T>) |
Multiplies the conjugate transpose of this matrix with a vector and places the results into the result vector.
(Inherited from Matrix<T>) |
| CopyTo |
Copies the elements of this matrix to the given matrix.
(Inherited from Matrix<T>) |
 | Create(Int32, Int32, Complex32) | Create a new sparse matrix and initialize each value to the same provided value. |
| Create(Int32, Int32, Func<Int32, Int32, Complex32>) | Create a new sparse matrix and initialize each value using the provided init function. |
| CreateDiagonal(Int32, Int32, Complex32) | Create a new diagonal sparse matrix and initialize each diagonal value to the same provided value. |
| CreateDiagonal(Int32, Int32, Func<Int32, Complex32>) | Create a new diagonal sparse matrix and initialize each diagonal value using the provided init function. |
| CreateIdentity | Create a new square sparse identity matrix where each diagonal value is set to One. |
| Determinant | Computes the determinant of this matrix. (Inherited from Matrix<T>) |
| Diagonal() |
Returns the elements of the diagonal in a Vector.
(Inherited from Matrix<T>) |
| Diagonal(Vector<T>) |
Returns the elements of the diagonal in a Vector.
(Inherited from Matrix<T>) |
| DiagonalStack(Matrix<T>) |
Diagonally stacks his matrix on top of the given matrix. The new matrix is a M-by-N matrix,
where M = this.Rows + lower.Rows and N = this.Columns + lower.Columns.
The values of off the off diagonal matrices/blocks are set to zero.
(Inherited from Matrix<T>) |
| DiagonalStack(Matrix<T>, Matrix<T>) |
Diagonally stacks his matrix on top of the given matrix and places the combined matrix into the result matrix.
(Inherited from Matrix<T>) |
| Divide(T) |
Divides each element of this matrix with a scalar.
(Inherited from Matrix<T>) |
| Divide(T, Matrix<T>) |
Divides each element of the matrix by a scalar and places results into the result matrix.
(Inherited from Matrix<T>) |
| DivideByThis(T) |
Divides a scalar by each element of the matrix.
(Inherited from Matrix<T>) |
| DivideByThis(T, Matrix<T>) |
Divides a scalar by each element of the matrix and places results into the result matrix.
(Inherited from Matrix<T>) |
 | DoAdd(Complex32, Matrix<Complex32>) |
Add a scalar to each element of the matrix and stores the result in the result vector.
(Inherited from Matrix) |
| DoAdd(Matrix<Complex32>, Matrix<Complex32>) |
Adds another matrix to this matrix.
(Overrides Matrix.DoAdd(Matrix<Complex32>, Matrix<Complex32>)) |
| DoConjugate |
Complex conjugates each element of this matrix and place the results into the result matrix.
(Inherited from Matrix) |
| DoConjugateTransposeAndMultiply |
Multiplies this matrix with the conjugate transpose of another matrix and places the results into the result matrix.
(Inherited from Matrix) |
| DoConjugateTransposeThisAndMultiply(Matrix<Complex32>, Matrix<Complex32>) |
Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.
(Inherited from Matrix) |
| DoConjugateTransposeThisAndMultiply(Vector<Complex32>, Vector<Complex32>) |
Multiplies the conjugate transpose of this matrix with a vector and places the results into the result vector.
(Inherited from Matrix) |
| DoDivide |
Divides each element of the matrix by a scalar and places results into the result matrix.
(Inherited from Matrix) |
| DoDivideByThis |
Divides a scalar by each element of the matrix and stores the result in the result matrix.
(Inherited from Matrix) |
| DoLeftMultiply |
Left multiply a matrix with a vector ( = vector * matrix ) and place the result in the result vector.
(Inherited from Matrix<T>) |
| DoModulus |
Computes the canonical modulus, where the result has the sign of the divisor,
for the given divisor each element of the matrix.
(Inherited from Matrix) |
| DoModulusByThis |
Computes the canonical modulus, where the result has the sign of the divisor,
for the given dividend for each element of the matrix.
(Inherited from Matrix) |
| DoMultiply(Complex32, Matrix<Complex32>) |
Multiplies each element of the matrix by a scalar and places results into the result matrix.
(Overrides Matrix.DoMultiply(Complex32, Matrix<Complex32>)) |
| DoMultiply(Matrix<Complex32>, Matrix<Complex32>) |
Multiplies this matrix with another matrix and places the results into the result matrix.
(Overrides Matrix.DoMultiply(Matrix<Complex32>, Matrix<Complex32>)) |
| DoMultiply(Vector<Complex32>, Vector<Complex32>) |
Multiplies this matrix with a vector and places the results into the result vector.
(Overrides Matrix.DoMultiply(Vector<Complex32>, Vector<Complex32>)) |
| DoNegate |
Negate each element of this matrix and place the results into the result matrix.
(Overrides Matrix.DoNegate(Matrix<Complex32>)) |
| DoPointwiseAbs | (Inherited from Matrix) |
| DoPointwiseAbsoluteMaximum(Complex32, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseAbsoluteMaximum(Matrix<Complex32>, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseAbsoluteMinimum(Complex32, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseAbsoluteMinimum(Matrix<Complex32>, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseAcos | (Inherited from Matrix) |
| DoPointwiseAsin | (Inherited from Matrix) |
| DoPointwiseAtan | (Inherited from Matrix) |
| DoPointwiseAtan2 | (Inherited from Matrix) |
| DoPointwiseCeiling | (Inherited from Matrix) |
| DoPointwiseCos | (Inherited from Matrix) |
| DoPointwiseCosh | (Inherited from Matrix) |
| DoPointwiseDivide |
Pointwise divide this matrix by another matrix and stores the result into the result matrix.
(Overrides Matrix.DoPointwiseDivide(Matrix<Complex32>, Matrix<Complex32>)) |
| DoPointwiseExp |
Pointwise applies the exponential function to each value and stores the result into the result matrix.
(Inherited from Matrix) |
| DoPointwiseFloor | (Inherited from Matrix) |
| DoPointwiseLog |
Pointwise applies the natural logarithm function to each value and stores the result into the result matrix.
(Inherited from Matrix) |
| DoPointwiseLog10 | (Inherited from Matrix) |
| DoPointwiseMaximum(Complex32, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseMaximum(Matrix<Complex32>, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseMinimum(Complex32, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseMinimum(Matrix<Complex32>, Matrix<Complex32>) | (Inherited from Matrix) |
| DoPointwiseModulus |
Pointwise canonical modulus, where the result has the sign of the divisor,
of this matrix with another matrix and stores the result into the result matrix.
(Inherited from Matrix) |
| DoPointwiseMultiply |
Pointwise multiplies this matrix with another matrix and stores the result into the result matrix.
(Overrides Matrix.DoPointwiseMultiply(Matrix<Complex32>, Matrix<Complex32>)) |
| DoPointwisePower(Complex32, Matrix<Complex32>) |
Pointwise raise this matrix to an exponent and store the result into the result matrix.
(Inherited from Matrix) |
| DoPointwisePower(Matrix<Complex32>, Matrix<Complex32>) |
Pointwise raise this matrix to an exponent and store the result into the result matrix.
(Inherited from Matrix) |
| DoPointwiseRemainder |
Pointwise remainder (% operator), where the result has the sign of the dividend,
of this matrix with another matrix and stores the result into the result matrix.
(Inherited from Matrix) |
| DoPointwiseRound | (Inherited from Matrix) |
| DoPointwiseSign | (Inherited from Matrix) |
| DoPointwiseSin | (Inherited from Matrix) |
| DoPointwiseSinh | (Inherited from Matrix) |
| DoPointwiseSqrt | (Inherited from Matrix) |
| DoPointwiseTan | (Inherited from Matrix) |
| DoPointwiseTanh | (Inherited from Matrix) |
| DoRemainder |
Computes the remainder (% operator), where the result has the sign of the dividend,
for the given divisor each element of the matrix.
(Inherited from Matrix) |
| DoRemainderByThis |
Computes the remainder (% operator), where the result has the sign of the dividend,
for the given dividend for each element of the matrix.
(Inherited from Matrix) |
| DoSubtract(Complex32, Matrix<Complex32>) |
Subtracts a scalar from each element of the vector and stores the result in the result vector.
(Inherited from Matrix) |
| DoSubtract(Matrix<Complex32>, Matrix<Complex32>) |
Subtracts another matrix from this matrix.
(Overrides Matrix.DoSubtract(Matrix<Complex32>, Matrix<Complex32>)) |
| DoSubtractFrom |
Subtracts each element of the matrix from a scalar and stores the result in the result matrix.
(Inherited from Matrix<T>) |
| DoTransposeAndMultiply |
Multiplies this matrix with transpose of another matrix and places the results into the result matrix.
(Overrides Matrix.DoTransposeAndMultiply(Matrix<Complex32>, Matrix<Complex32>)) |
| DoTransposeThisAndMultiply(Matrix<Complex32>, Matrix<Complex32>) |
Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.
(Inherited from Matrix) |
| DoTransposeThisAndMultiply(Vector<Complex32>, Vector<Complex32>) |
Multiplies the transpose of this matrix with a vector and places the results into the result vector.
(Overrides Matrix.DoTransposeThisAndMultiply(Vector<Complex32>, Vector<Complex32>)) |
| Enumerate() |
Returns an IEnumerable that can be used to iterate through all values of the matrix.
(Inherited from Matrix<T>) |
| Enumerate(Zeros) |
Returns an IEnumerable that can be used to iterate through all values of the matrix.
(Inherited from Matrix<T>) |
| EnumerateColumns() |
Returns an IEnumerable that can be used to iterate through all columns of the matrix.
(Inherited from Matrix<T>) |
| EnumerateColumns(Int32, Int32) |
Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix.
(Inherited from Matrix<T>) |
| EnumerateColumnsIndexed() |
Returns an IEnumerable that can be used to iterate through all columns of the matrix and their index.
(Inherited from Matrix<T>) |
| EnumerateColumnsIndexed(Int32, Int32) |
Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix and their index.
(Inherited from Matrix<T>) |
| EnumerateIndexed() |
Returns an IEnumerable that can be used to iterate through all values of the matrix and their index.
(Inherited from Matrix<T>) |
| EnumerateIndexed(Zeros) |
Returns an IEnumerable that can be used to iterate through all values of the matrix and their index.
(Inherited from Matrix<T>) |
| EnumerateRows() |
Returns an IEnumerable that can be used to iterate through all rows of the matrix.
(Inherited from Matrix<T>) |
| EnumerateRows(Int32, Int32) |
Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix.
(Inherited from Matrix<T>) |
| EnumerateRowsIndexed() |
Returns an IEnumerable that can be used to iterate through all rows of the matrix and their index.
(Inherited from Matrix<T>) |
| EnumerateRowsIndexed(Int32, Int32) |
Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix and their index.
(Inherited from Matrix<T>) |
| Equals(Matrix<T>) |
Indicates whether the current object is equal to another object of the same type.
(Inherited from Matrix<T>) |
| Equals(Object) |
Determines whether the specified Object is equal to this instance.
(Inherited from Matrix<T>) |
| Evd | (Inherited from Matrix) |
| Exists |
Returns true if at least one element satisfies a predicate.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| Exists2<TOther> |
Returns true if at least one element pairs of two matrices of the same size satisfies a predicate.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| Find |
Returns a tuple with the index and value of the first element satisfying a predicate, or null if none is found.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| Find2<TOther> |
Returns a tuple with the index and values of the first element pair of two matrices of the same size satisfying a predicate, or null if none is found.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| Fold2<TOther, TState> |
Applies a function to update the status with each value pair of two matrices and returns the resulting status.
(Inherited from Matrix<T>) |
| FoldByColumn<TU> |
For each column, applies a function f to each element of the column, threading an accumulator argument through the computation.
Returns an array with the resulting accumulator states for each column.
(Inherited from Matrix<T>) |
| FoldByRow<TU> |
For each row, applies a function f to each element of the row, threading an accumulator argument through the computation.
Returns an array with the resulting accumulator states for each row.
(Inherited from Matrix<T>) |
| FoldColumns<TU> |
Applies a function f to each column vector, threading an accumulator vector argument through the computation.
Returns the resulting accumulator vector.
(Inherited from Matrix<T>) |
| FoldRows<TU> |
Applies a function f to each row vector, threading an accumulator vector argument through the computation.
Returns the resulting accumulator vector.
(Inherited from Matrix<T>) |
| ForAll |
Returns true if all elements satisfy a predicate.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| ForAll2<TOther> |
Returns true if all element pairs of two matrices of the same size satisfy a predicate.
Zero elements may be skipped on sparse data structures if allowed (default).
(Inherited from Matrix<T>) |
| FrobeniusNorm | Calculates the entry-wise Frobenius norm of this matrix. (Overrides Matrix.FrobeniusNorm()) |
| GetHashCode |
Returns a hash code for this instance.
(Inherited from Matrix<T>) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GramSchmidt | (Inherited from Matrix) |
| InfinityNorm | Calculates the induced infinity norm of this matrix. (Overrides Matrix.InfinityNorm()) |
| InsertColumn |
Creates a new matrix and inserts the given column at the given index.
(Inherited from Matrix<T>) |
| InsertRow |
Creates a new matrix and inserts the given row at the given index.
(Inherited from Matrix<T>) |
| Inverse | Computes the inverse of this matrix. (Inherited from Matrix<T>) |
| IsHermitian |
Evaluates whether this matrix is Hermitian (conjugate symmetric).
(Overrides Matrix.IsHermitian()) |
| IsSymmetric |
Evaluates whether this matrix is symmetric.
(Overrides Matrix<T>.IsSymmetric()) |
| Kernel |
Computes an orthonormal basis for the null space of this matrix,
also known as the kernel of the corresponding matrix transformation.
(Inherited from Matrix<T>) |
| KroneckerProduct(Matrix<T>) |
Computes the Kronecker product of this matrix with the given matrix. The new matrix is M-by-N
with M = this.Rows * lower.Rows and N = this.Columns * lower.Columns.
(Inherited from Matrix<T>) |
| KroneckerProduct(Matrix<Complex32>, Matrix<Complex32>) | (Overrides Matrix<T>.KroneckerProduct(Matrix<T>, Matrix<T>)) |
| L1Norm | Calculates the induced L1 norm of this matrix. (Inherited from Matrix) |
| L2Norm | Calculates the induced L2 norm of the matrix. (Inherited from Matrix<T>) |
| LeftMultiply(Vector<T>) |
Left multiply a matrix with a vector ( = vector * matrix ).
(Inherited from Matrix<T>) |
| LeftMultiply(Vector<T>, Vector<T>) |
Left multiply a matrix with a vector ( = vector * matrix ) and place the result in the result vector.
(Inherited from Matrix<T>) |
| LowerTriangle() |
Returns a new matrix containing the lower triangle of this matrix.
(Overrides Matrix<T>.LowerTriangle()) |
| LowerTriangle(Matrix<Complex32>) |
Puts the lower triangle of this matrix into the result matrix.
(Overrides Matrix<T>.LowerTriangle(Matrix<T>)) |
| LU | (Inherited from Matrix) |
| Map(Func<T, T>, Matrix<T>, Zeros) |
Applies a function to each value of this matrix and replaces the value in the result matrix.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| Map<TU>(Func<T, TU>, Zeros) |
Applies a function to each value of this matrix and returns the results as a new matrix.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| Map2(Func<T, T, T>, Matrix<T>, Zeros) |
Applies a function to each value pair of two matrices and returns the results as a new vector.
(Inherited from Matrix<T>) |
| Map2(Func<T, T, T>, Matrix<T>, Matrix<T>, Zeros) |
Applies a function to each value pair of two matrices and replaces the value in the result vector.
(Inherited from Matrix<T>) |
| MapConvert<TU> |
Applies a function to each value of this matrix and replaces the value in the result matrix.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MapIndexed(Func<Int32, Int32, T, T>, Matrix<T>, Zeros) |
Applies a function to each value of this matrix and replaces the value in the result matrix.
The index of each value (zero-based) is passed as first argument to the function.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MapIndexed<TU>(Func<Int32, Int32, T, TU>, Zeros) |
Applies a function to each value of this matrix and returns the results as a new matrix.
The index of each value (zero-based) is passed as first argument to the function.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MapIndexedConvert<TU> |
Applies a function to each value of this matrix and replaces the value in the result matrix.
The index of each value (zero-based) is passed as first argument to the function.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MapIndexedInplace |
Applies a function to each value of this matrix and replaces the value with its result.
The row and column indices of each value (zero-based) are passed as first arguments to the function.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MapInplace |
Applies a function to each value of this matrix and replaces the value with its result.
If forceMapZero is not set to true, zero values may or may not be skipped depending
on the actual data storage implementation (relevant mostly for sparse matrices).
(Inherited from Matrix<T>) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| Modulus(T) |
Computes the canonical modulus, where the result has the sign of the divisor,
for each element of the matrix.
(Inherited from Matrix<T>) |
| Modulus(T, Matrix<T>) |
Computes the canonical modulus, where the result has the sign of the divisor,
for each element of the matrix.
(Inherited from Matrix<T>) |
| ModulusByThis(T) |
Computes the canonical modulus, where the result has the sign of the divisor,
for each element of the matrix.
(Inherited from Matrix<T>) |
| ModulusByThis(T, Matrix<T>) |
Computes the canonical modulus, where the result has the sign of the divisor,
for each element of the matrix.
(Inherited from Matrix<T>) |
| Multiply(T) |
Multiplies each element of this matrix with a scalar.
(Inherited from Matrix<T>) |
| Multiply(Matrix<T>) |
Multiplies this matrix with another matrix and returns the result.
(Inherited from Matrix<T>) |
| Multiply(Vector<T>) |
Multiplies this matrix by a vector and returns the result.
(Inherited from Matrix<T>) |
| Multiply(T, Matrix<T>) |
Multiplies each element of the matrix by a scalar and places results into the result matrix.
(Inherited from Matrix<T>) |
| Multiply(Matrix<T>, Matrix<T>) |
Multiplies this matrix with another matrix and places the results into the result matrix.
(Inherited from Matrix<T>) |
| Multiply(Vector<T>, Vector<T>) |
Multiplies this matrix with a vector and places the results into the result vector.
(Inherited from Matrix<T>) |
| Negate() |
Negate each element of this matrix.
(Inherited from Matrix<T>) |
| Negate(Matrix<T>) |
Negate each element of this matrix and place the results into the result matrix.
(Inherited from Matrix<T>) |
| NormalizeColumns |
Normalizes all column vectors to a unit p-norm.
Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
(Inherited from Matrix) |
| NormalizeRows |
Normalizes all row vectors to a unit p-norm.
Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
(Inherited from Matrix) |
| Nullity |
Calculates the nullity of the matrix.
(Inherited from Matrix<T>) |
| OfArray | Create a new sparse matrix as a copy of the given two-dimensional array. This new matrix will be independent from the provided array. A new memory block will be allocated for storing the matrix. |
| OfColumnArrays(Complex32[][]) | Create a new sparse matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix. |
| OfColumnArrays(IEnumerable<Complex32[]>) | Create a new sparse matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix. |
| OfColumnMajor | Create a new sparse matrix with the given number of rows and columns as a copy of the given array. The array is assumed to be in column-major order (column by column). This new matrix will be independent from the provided array. A new memory block will be allocated for storing the matrix. |
| OfColumns(IEnumerable<IEnumerable<Complex32>>) | Create a new sparse matrix as a copy of the given enumerable of enumerable columns. Each enumerable in the master enumerable specifies a column. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix. |
| OfColumns(Int32, Int32, IEnumerable<IEnumerable<Complex32>>) | Create a new sparse matrix as a copy of the given enumerable of enumerable columns. Each enumerable in the master enumerable specifies a column. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix. |
| OfColumnVectors(IEnumerable<Vector<Complex32>>) | Create a new sparse matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix. |
| OfColumnVectors(Vector<Complex32>[]) | Create a new sparse matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix. |
| OfDiagonalArray(Complex32[]) | Create a new sparse matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix. |
| OfDiagonalArray(Int32, Int32, Complex32[]) | Create a new sparse matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix. |
| OfDiagonalVector(Vector<Complex32>) | Create a new sparse matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix. |
| OfDiagonalVector(Int32, Int32, Vector<Complex32>) | Create a new sparse matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix. |
| OfIndexed(Int32, Int32, IEnumerable<Tuple<Int32, Int32, Complex32>>) | Create a new sparse matrix as a copy of the given indexed enumerable. Keys must be provided at most once, zero is assumed if a key is omitted. This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix. |
| OfIndexed(Int32, Int32, IEnumerable<ValueTuple<Int32, Int32, Complex32>>) | Create a new sparse matrix as a copy of the given indexed enumerable. Keys must be provided at most once, zero is assumed if a key is omitted. This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix. |
| OfMatrix | Create a new sparse matrix as a copy of the given other matrix. This new matrix will be independent from the other matrix. A new memory block will be allocated for storing the matrix. |
| OfRowArrays(Complex32[][]) | Create a new sparse matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix. |
| OfRowArrays(IEnumerable<Complex32[]>) | Create a new sparse matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix. |
| OfRowMajor | Create a new sparse matrix as a copy of the given enumerable. The enumerable is assumed to be in row-major order (row by row). This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the vector. |
| OfRows(IEnumerable<IEnumerable<Complex32>>) | Create a new sparse matrix as a copy of the given enumerable of enumerable rows. Each enumerable in the master enumerable specifies a row. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix. |
| OfRows(Int32, Int32, IEnumerable<IEnumerable<Complex32>>) | Create a new sparse matrix as a copy of the given enumerable of enumerable rows. Each enumerable in the master enumerable specifies a row. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix. |
| OfRowVectors(IEnumerable<Vector<Complex32>>) | Create a new sparse matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix. |
| OfRowVectors(Vector<Complex32>[]) | Create a new sparse matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix. |
| PermuteColumns |
Permute the columns of a matrix according to a permutation.
(Inherited from Matrix<T>) |
| PermuteRows |
Permute the rows of a matrix according to a permutation.
(Inherited from Matrix<T>) |
| PointwiseAbs() |
Pointwise applies the abs function to each value
(Inherited from Matrix<T>) |
| PointwiseAbs(Matrix<T>) |
Pointwise applies the abs function to each value
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMaximum(T) |
Pointwise applies the absolute maximum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMaximum(Matrix<T>) |
Pointwise applies the absolute maximum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMaximum(T, Matrix<T>) |
Pointwise applies the absolute maximum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMaximum(Matrix<T>, Matrix<T>) |
Pointwise applies the absolute maximum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMinimum(T) |
Pointwise applies the absolute minimum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMinimum(Matrix<T>) |
Pointwise applies the absolute minimum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMinimum(T, Matrix<T>) |
Pointwise applies the absolute minimum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseAbsoluteMinimum(Matrix<T>, Matrix<T>) |
Pointwise applies the absolute minimum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseAcos() |
Pointwise applies the acos function to each value
(Inherited from Matrix<T>) |
| PointwiseAcos(Matrix<T>) |
Pointwise applies the acos function to each value
(Inherited from Matrix<T>) |
| PointwiseAsin() |
Pointwise applies the asin function to each value
(Inherited from Matrix<T>) |
| PointwiseAsin(Matrix<T>) |
Pointwise applies the asin function to each value
(Inherited from Matrix<T>) |
| PointwiseAtan() |
Pointwise applies the atan function to each value
(Inherited from Matrix<T>) |
| PointwiseAtan(Matrix<T>) |
Pointwise applies the atan function to each value
(Inherited from Matrix<T>) |
| PointwiseAtan2(Matrix<T>) |
Pointwise applies the atan2 function to each value of the current
matrix and a given other matrix being the 'x' of atan2 and the
'this' matrix being the 'y'
(Inherited from Matrix<T>) |
| PointwiseAtan2(Matrix<T>, Matrix<T>) |
Pointwise applies the atan2 function to each value of the current
matrix and a given other matrix being the 'x' of atan2 and the
'this' matrix being the 'y'
(Inherited from Matrix<T>) |
| PointwiseBinary(Action<Matrix<T>, Matrix<T>>, Matrix<T>) |
Helper function to apply a binary function which takes two matrices
and modifies the latter in place. A copy of the "this" matrix is
first made and then passed to f together with the other matrix. The
copy is then returned as the result
(Inherited from Matrix<T>) |
| PointwiseBinary(Action<Matrix<T>, Matrix<T>>, Matrix<T>, Matrix<T>) |
Helper function to apply a binary function which takes two matrices
and modifies the second one in place
(Inherited from Matrix<T>) |
| PointwiseCeiling() |
Pointwise applies the ceiling function to each value
(Inherited from Matrix<T>) |
| PointwiseCeiling(Matrix<T>) |
Pointwise applies the ceiling function to each value
(Inherited from Matrix<T>) |
| PointwiseCos() |
Pointwise applies the cos function to each value
(Inherited from Matrix<T>) |
| PointwiseCos(Matrix<T>) |
Pointwise applies the cos function to each value
(Inherited from Matrix<T>) |
| PointwiseCosh() |
Pointwise applies the cosh function to each value
(Inherited from Matrix<T>) |
| PointwiseCosh(Matrix<T>) |
Pointwise applies the cosh function to each value
(Inherited from Matrix<T>) |
| PointwiseDivide(Matrix<T>) |
Pointwise divide this matrix by another matrix.
(Inherited from Matrix<T>) |
| PointwiseDivide(Matrix<T>, Matrix<T>) |
Pointwise divide this matrix by another matrix and stores the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwiseExp() |
Pointwise applies the exponent function to each value.
(Inherited from Matrix<T>) |
| PointwiseExp(Matrix<T>) |
Pointwise applies the exponent function to each value.
(Inherited from Matrix<T>) |
| PointwiseFloor() |
Pointwise applies the floor function to each value
(Inherited from Matrix<T>) |
| PointwiseFloor(Matrix<T>) |
Pointwise applies the floor function to each value
(Inherited from Matrix<T>) |
| PointwiseLog() |
Pointwise applies the natural logarithm function to each value.
(Inherited from Matrix<T>) |
| PointwiseLog(Matrix<T>) |
Pointwise applies the natural logarithm function to each value.
(Inherited from Matrix<T>) |
| PointwiseLog10() |
Pointwise applies the log10 function to each value
(Inherited from Matrix<T>) |
| PointwiseLog10(Matrix<T>) |
Pointwise applies the log10 function to each value
(Inherited from Matrix<T>) |
| PointwiseMaximum(T) |
Pointwise applies the maximum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseMaximum(Matrix<T>) |
Pointwise applies the maximum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseMaximum(T, Matrix<T>) |
Pointwise applies the maximum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseMaximum(Matrix<T>, Matrix<T>) |
Pointwise applies the maximum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseMinimum(T) |
Pointwise applies the minimum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseMinimum(Matrix<T>) |
Pointwise applies the minimum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseMinimum(T, Matrix<T>) |
Pointwise applies the minimum with a scalar to each value.
(Inherited from Matrix<T>) |
| PointwiseMinimum(Matrix<T>, Matrix<T>) |
Pointwise applies the minimum with the values of another matrix to each value.
(Inherited from Matrix<T>) |
| PointwiseModulus(Matrix<T>) |
Pointwise canonical modulus, where the result has the sign of the divisor,
of this matrix by another matrix.
(Inherited from Matrix<T>) |
| PointwiseModulus(Matrix<T>, Matrix<T>) |
Pointwise canonical modulus, where the result has the sign of the divisor,
of this matrix by another matrix and stores the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwiseMultiply(Matrix<T>) |
Pointwise multiplies this matrix with another matrix.
(Inherited from Matrix<T>) |
| PointwiseMultiply(Matrix<T>, Matrix<T>) |
Pointwise multiplies this matrix with another matrix and stores the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwisePower(T) |
Pointwise raise this matrix to an exponent and store the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwisePower(Matrix<T>) |
Pointwise raise this matrix to an exponent and store the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwisePower(T, Matrix<T>) |
Pointwise raise this matrix to an exponent.
(Inherited from Matrix<T>) |
| PointwisePower(Matrix<T>, Matrix<T>) |
Pointwise raise this matrix to an exponent.
(Inherited from Matrix<T>) |
| PointwiseRemainder(Matrix<T>) |
Pointwise remainder (% operator), where the result has the sign of the dividend,
of this matrix by another matrix.
(Inherited from Matrix<T>) |
| PointwiseRemainder(Matrix<T>, Matrix<T>) |
Pointwise remainder (% operator), where the result has the sign of the dividend,
of this matrix by another matrix and stores the result into the result matrix.
(Inherited from Matrix<T>) |
| PointwiseRound() |
Pointwise applies the round function to each value
(Inherited from Matrix<T>) |
| PointwiseRound(Matrix<T>) |
Pointwise applies the round function to each value
(Inherited from Matrix<T>) |
| PointwiseSign() |
Pointwise applies the sign function to each value
(Inherited from Matrix<T>) |
| PointwiseSign(Matrix<T>) |
Pointwise applies the sign function to each value
(Inherited from Matrix<T>) |
| PointwiseSin() |
Pointwise applies the sin function to each value
(Inherited from Matrix<T>) |
| PointwiseSin(Matrix<T>) |
Pointwise applies the sin function to each value
(Inherited from Matrix<T>) |
| PointwiseSinh() |
Pointwise applies the sinh function to each value
(Inherited from Matrix<T>) |
| PointwiseSinh(Matrix<T>) |
Pointwise applies the sinh function to each value
(Inherited from Matrix<T>) |
| PointwiseSqrt() |
Pointwise applies the sqrt function to each value
(Inherited from Matrix<T>) |
| PointwiseSqrt(Matrix<T>) |
Pointwise applies the sqrt function to each value
(Inherited from Matrix<T>) |
| PointwiseTan() |
Pointwise applies the tan function to each value
(Inherited from Matrix<T>) |
| PointwiseTan(Matrix<T>) |
Pointwise applies the tan function to each value
(Inherited from Matrix<T>) |
| PointwiseTanh() |
Pointwise applies the tanh function to each value
(Inherited from Matrix<T>) |
| PointwiseTanh(Matrix<T>) |
Pointwise applies the tanh function to each value
(Inherited from Matrix<T>) |
| PointwiseUnary(Action<Matrix<T>>) |
Helper function to apply a unary function to a matrix. The function
f modifies the matrix given to it in place. Before its
called, a copy of the 'this' matrix is first created, then passed to
f. The copy is then returned as the result
(Inherited from Matrix<T>) |
| PointwiseUnary(Action<Matrix<T>>, Matrix<T>) |
Helper function to apply a unary function which modifies a matrix
in place.
(Inherited from Matrix<T>) |
| Power(Int32) |
Multiplies this square matrix with another matrix and returns the result.
(Inherited from Matrix<T>) |
| Power(Int32, Matrix<T>) |
Raises this square matrix to a positive integer exponent and places the results into the result matrix.
(Inherited from Matrix<T>) |
| PseudoInverse |
Computes the Moore-Penrose Pseudo-Inverse of this matrix.
(Inherited from Matrix) |
| QR | (Inherited from Matrix) |
| Range |
Computes an orthonormal basis for the column space of this matrix,
also known as the range or image of the corresponding matrix transformation.
(Inherited from Matrix<T>) |
| Rank |
Calculates the rank of the matrix.
(Inherited from Matrix<T>) |
| ReduceColumns |
Reduces all column vectors by applying a function between two of them, until only a single vector is left.
(Inherited from Matrix<T>) |
| ReduceRows |
Reduces all row vectors by applying a function between two of them, until only a single vector is left.
(Inherited from Matrix<T>) |
| Remainder(T) |
Computes the remainder (matrix % divisor), where the result has the sign of the dividend,
for each element of the matrix.
(Inherited from Matrix<T>) |
| Remainder(T, Matrix<T>) |
Computes the remainder (matrix % divisor), where the result has the sign of the dividend,
for each element of the matrix.
(Inherited from Matrix<T>) |
| RemainderByThis(T) |
Computes the remainder (dividend % matrix), where the result has the sign of the dividend,
for each element of the matrix.
(Inherited from Matrix<T>) |
| RemainderByThis(T, Matrix<T>) |
Computes the remainder (dividend % matrix), where the result has the sign of the dividend,
for each element of the matrix.
(Inherited from Matrix<T>) |
| RemoveColumn |
Creates a new matrix with the given column removed.
(Inherited from Matrix<T>) |
| RemoveRow |
Creates a new matrix with the given row removed.
(Inherited from Matrix<T>) |
| Resize |
Creates a new matrix with the desired size and copies this matrix to it.
Values which no longer exist in the new matrix are ignored, new values are set to zero.
(Inherited from Matrix<T>) |
| Row(Int32) |
Copies a row into an Vector.
(Inherited from Matrix<T>) |
| Row(Int32, Vector<T>) |
Copies a row into to the given Vector.
(Inherited from Matrix<T>) |
| Row(Int32, Int32, Int32) |
Copies the requested row elements into a new Vector.
(Inherited from Matrix<T>) |
| Row(Int32, Int32, Int32, Vector<T>) |
Copies the requested row elements into a new Vector.
(Inherited from Matrix<T>) |
| RowAbsoluteSums |
Calculates the absolute value sum of each row vector.
(Inherited from Matrix) |
| RowNorms |
Calculates the p-norms of all row vectors.
Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
(Inherited from Matrix) |
| RowSums |
Calculates the value sum of each row vector.
(Inherited from Matrix) |
| SetColumn(Int32, T[]) |
Copies the values of the given array to the specified column.
(Inherited from Matrix<T>) |
| SetColumn(Int32, Vector<T>) |
Copies the values of the given Vector to the specified column.
(Inherited from Matrix<T>) |
| SetColumn(Int32, Int32, Int32, Vector<T>) |
Copies the values of the given Vector to the specified sub-column.
(Inherited from Matrix<T>) |
| SetDiagonal(T[]) |
Copies the values of the given array to the diagonal.
(Inherited from Matrix<T>) |
| SetDiagonal(Vector<T>) |
Copies the values of the given Vector to the diagonal.
(Inherited from Matrix<T>) |
| SetRow(Int32, T[]) |
Copies the values of the given array to the specified row.
(Inherited from Matrix<T>) |
| SetRow(Int32, Vector<T>) |
Copies the values of the given Vector to the specified row.
(Inherited from Matrix<T>) |
| SetRow(Int32, Int32, Int32, Vector<T>) |
Copies the values of the given Vector to the specified sub-row.
(Inherited from Matrix<T>) |
| SetSubMatrix(Int32, Int32, Matrix<T>) |
Copies the values of a given matrix into a region in this matrix.
(Inherited from Matrix<T>) |
| SetSubMatrix(Int32, Int32, Int32, Int32, Matrix<T>) |
Copies the values of a given matrix into a region in this matrix.
(Inherited from Matrix<T>) |
| SetSubMatrix(Int32, Int32, Int32, Int32, Int32, Int32, Matrix<T>) |
Copies the values of a given matrix into a region in this matrix.
(Inherited from Matrix<T>) |
| Solve(Matrix<T>) |
Solves a system of linear equations, AX = B, with A QR factorized.
(Inherited from Matrix<T>) |
| Solve(Vector<T>) |
Solves a system of linear equations, Ax = b, with A QR factorized.
(Inherited from Matrix<T>) |
| Solve(Matrix<T>, Matrix<T>) |
Solves a system of linear equations, AX = B, with A QR factorized.
(Inherited from Matrix<T>) |
| Solve(Vector<T>, Vector<T>) |
Solves a system of linear equations, Ax = b, with A QR factorized.
(Inherited from Matrix<T>) |
| SolveIterative(Matrix<T>, IIterativeSolver<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| SolveIterative(Vector<T>, IIterativeSolver<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| SolveIterative(Matrix<T>, IIterativeSolver<T>, IPreconditioner<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| SolveIterative(Matrix<T>, IIterativeSolver<T>, Iterator<T>, IPreconditioner<T>) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| SolveIterative(Vector<T>, IIterativeSolver<T>, IPreconditioner<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| SolveIterative(Vector<T>, IIterativeSolver<T>, Iterator<T>, IPreconditioner<T>) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| Stack(Matrix<T>) |
Stacks this matrix on top of the given matrix and places the result into the result matrix.
(Inherited from Matrix<T>) |
| Stack(Matrix<T>, Matrix<T>) |
Stacks this matrix on top of the given matrix and places the result into the result matrix.
(Inherited from Matrix<T>) |
| StrictlyLowerTriangle() |
Returns a new matrix containing the lower triangle of this matrix. The new matrix
does not contain the diagonal elements of this matrix.
(Overrides Matrix<T>.StrictlyLowerTriangle()) |
| StrictlyLowerTriangle(Matrix<Complex32>) |
Puts the strictly lower triangle of this matrix into the result matrix.
(Overrides Matrix<T>.StrictlyLowerTriangle(Matrix<T>)) |
| StrictlyUpperTriangle() |
Returns a new matrix containing the upper triangle of this matrix. The new matrix
does not contain the diagonal elements of this matrix.
(Overrides Matrix<T>.StrictlyUpperTriangle()) |
| StrictlyUpperTriangle(Matrix<Complex32>) |
Puts the strictly upper triangle of this matrix into the result matrix.
(Overrides Matrix<T>.StrictlyUpperTriangle(Matrix<T>)) |
| SubMatrix |
Creates a matrix that contains the values from the requested sub-matrix.
(Inherited from Matrix<T>) |
| Subtract(T) |
Subtracts a scalar from each element of the matrix.
(Inherited from Matrix<T>) |
| Subtract(Matrix<T>) |
Subtracts another matrix from this matrix.
(Inherited from Matrix<T>) |
| Subtract(T, Matrix<T>) |
Subtracts a scalar from each element of the matrix and stores the result in the result matrix.
(Inherited from Matrix<T>) |
| Subtract(Matrix<T>, Matrix<T>) |
Subtracts another matrix from this matrix.
(Inherited from Matrix<T>) |
| SubtractFrom(T) |
Subtracts each element of the matrix from a scalar.
(Inherited from Matrix<T>) |
| SubtractFrom(T, Matrix<T>) |
Subtracts each element of the matrix from a scalar and stores the result in the result matrix.
(Inherited from Matrix<T>) |
| Svd | (Inherited from Matrix) |
| ToArray |
Returns this matrix as a multidimensional array.
The returned array will be independent from this matrix.
A new memory block will be allocated for the array.
(Inherited from Matrix<T>) |
| ToColumnArrays |
Returns this matrix as array of column arrays.
The returned arrays will be independent from this matrix.
A new memory block will be allocated for the arrays.
(Inherited from Matrix<T>) |
| ToColumnMajorArray |
Returns the matrix's elements as an array with the data laid out column by column (column major).
The returned array will be independent from this matrix.
A new memory block will be allocated for the array.
(Inherited from Matrix<T>) |
| ToMatrixString(String, IFormatProvider) |
Returns a string that summarizes the content of this matrix.
(Inherited from Matrix<T>) |
| ToMatrixString(Int32, Int32, String, IFormatProvider) |
Returns a string that summarizes the content of this matrix.
(Inherited from Matrix<T>) |
| ToMatrixString(Int32, Int32, Int32, Int32, String, String, String, String, String, Func<T, String>) | (Inherited from Matrix<T>) |
| ToMatrixString(Int32, Int32, Int32, Int32, Int32, String, String, String, String, String, Func<T, String>) | (Inherited from Matrix<T>) |
| ToMatrixStringArray(Int32, Int32, Int32, Int32, String, String, String, Func<T, String>) |
Returns a string 2D array that summarizes the content of this matrix.
(Inherited from Matrix<T>) |
| ToMatrixStringArray(Int32, Int32, Int32, Int32, Int32, Int32, String, String, String, Func<T, String>) |
Returns a string 2D array that summarizes the content of this matrix.
(Inherited from Matrix<T>) |
| ToRowArrays |
Returns this matrix as array of row arrays.
The returned arrays will be independent from this matrix.
A new memory block will be allocated for the arrays.
(Inherited from Matrix<T>) |
| ToRowMajorArray |
Returns the matrix's elements as an array with the data laid row by row (row major).
The returned array will be independent from this matrix.
A new memory block will be allocated for the array.
(Inherited from Matrix<T>) |
| ToString() |
Returns a string that summarizes this matrix.
The maximum number of cells can be configured in the Control class.
(Inherited from Matrix<T>) |
| ToString(String, IFormatProvider) |
Returns a string that summarizes this matrix.
The maximum number of cells can be configured in the Control class.
The format string is ignored.
(Inherited from Matrix<T>) |
| ToString(Int32, Int32, String, IFormatProvider) |
Returns a string that summarizes this matrix.
(Inherited from Matrix<T>) |
| ToTypeString | (Overrides Matrix<T>.ToTypeString()) |
| Trace |
Computes the trace of this matrix.
(Inherited from Matrix) |
| Transpose() |
Returns the transpose of this matrix.
(Inherited from Matrix<T>) |
| Transpose(Matrix<T>) |
Puts the transpose of this matrix into the result matrix.
(Inherited from Matrix<T>) |
| TransposeAndMultiply(Matrix<T>) |
Multiplies this matrix with transpose of another matrix and returns the result.
(Inherited from Matrix<T>) |
| TransposeAndMultiply(Matrix<T>, Matrix<T>) |
Multiplies this matrix with transpose of another matrix and places the results into the result matrix.
(Inherited from Matrix<T>) |
| TransposeThisAndMultiply(Matrix<T>) |
Multiplies the transpose of this matrix with another matrix and returns the result.
(Inherited from Matrix<T>) |
| TransposeThisAndMultiply(Vector<T>) |
Multiplies the transpose of this matrix by a vector and returns the result.
(Inherited from Matrix<T>) |
| TransposeThisAndMultiply(Matrix<T>, Matrix<T>) |
Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.
(Inherited from Matrix<T>) |
| TransposeThisAndMultiply(Vector<T>, Vector<T>) |
Multiplies the transpose of this matrix with a vector and places the results into the result vector.
(Inherited from Matrix<T>) |
| TrySolveIterative(Matrix<T>, Matrix<T>, IIterativeSolver<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| TrySolveIterative(Vector<T>, Vector<T>, IIterativeSolver<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| TrySolveIterative(Matrix<T>, Matrix<T>, IIterativeSolver<T>, IPreconditioner<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| TrySolveIterative(Matrix<T>, Matrix<T>, IIterativeSolver<T>, Iterator<T>, IPreconditioner<T>) |
Solves the matrix equation AX = B, where A is the coefficient matrix (this matrix), B is the solution matrix and X is the unknown matrix.
(Inherited from Matrix<T>) |
| TrySolveIterative(Vector<T>, Vector<T>, IIterativeSolver<T>, IPreconditioner<T>, IIterationStopCriterion<T>[]) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| TrySolveIterative(Vector<T>, Vector<T>, IIterativeSolver<T>, Iterator<T>, IPreconditioner<T>) |
Solves the matrix equation Ax = b, where A is the coefficient matrix (this matrix), b is the solution vector and x is the unknown vector.
(Inherited from Matrix<T>) |
| UpperTriangle() |
Returns a new matrix containing the upper triangle of this matrix.
(Overrides Matrix<T>.UpperTriangle()) |
| UpperTriangle(Matrix<Complex32>) |
Puts the upper triangle of this matrix into the result matrix.
(Overrides Matrix<T>.UpperTriangle(Matrix<T>)) |
Extension Methods| Name | Description | |
|---|---|---|
 | Imaginary |
Gets a real matrix representing the imaginary parts of a complex matrix.
(Defined by MatrixExtensions) |
| Real |
Gets a real matrix representing the real parts of a complex matrix.
(Defined by MatrixExtensions) |
| ToComplex |
Converts a matrix to double precision complex numbers.
(Defined by MatrixExtensions) |
See Also