Overload List
Overload 1: TMtxVec *Mul(const double Value);
Multiply object elements with Value.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Value | const double |
Multiplies all calling object elements with Value in-place.
Overload 2: TMtxVec *Mul(const TCplx &Value);
Multiply all calling object elements with complex Value in-place.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Value | const TCplx & |
Overload 3: TMtxVec *Mul(const double Value, int Index, int Len);
Multipy calling object elements [Index]..[Index+Len-1] with Value in-place.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Value | const double | |
| 2 | Index | int | |
| 3 | Len | int |
An exception is raised if array borders are overrun or underrun.
Overload 4: TMtxVec *Mul(const TCplx &Value, int Index, int Len);
Multipy calling object elements [Index]..[Index+Len-1] with complex Value in-place.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Value | const TCplx & | |
| 2 | Index | int | |
| 3 | Len | int |
An exception is raised if array borders are overrun or underrun.
Overload 5: TMtxVec *Mul(TMtxVec *Vec, const double Value);
Multiply each element of Vec with Value.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * | |
| 2 | Value | const double |
Store the result in the calling object. Size and TMtx::Complex properties of the calling object are adjusted automatically.
Overload 6: TMtxVec *Mul(TMtxVec *Vec, const TCplx &Value);
Multiply each element of Vec with complex Value.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * | |
| 2 | Value | const TCplx & |
Store the result in the calling object. Size of the calling object is set automatically. TMtx::Complex property of the calling object is set to True.
Overload 7: TMtxVec *Mul(TMtxVec *Vec, const double Value, int VecIndex, int Index, int Len);
Multiply Vec elements [VecIndex]..[VecIndex+Len-1] with Value.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * | |
| 2 | Value | const double | |
| 3 | VecIndex | int | |
| 4 | Index | int | |
| 5 | Len | int |
Store the result in calling object elements [Index]..[Index+Len-1]. Size of the calling object is not changed. An exception is raised if array borders are overrun or underrun. TMtx::Complex propertiy of the calling object is set implicitly.
Overload 8: TMtxVec *Mul(TMtxVec *Vec, const TCplx &Value, int VecIndex, int Index, int Len);
Multiply Vec elements [VecIndex]..[VecIndex+Len-1] with complex Value.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * | |
| 2 | Value | const TCplx & | |
| 3 | VecIndex | int | |
| 4 | Index | int | |
| 5 | Len | int |
Store the result in calling object elements [Index]..[Index+Len-1]. Size of the calling object is not changed. An exception is raised if array borders are overrun or underrun. TMtx::Complex propertiy of the calling object is set to True.
Overload 9: TMtxVec *Mul(TMtxVec *X, TMtxVec *Y, TMtxVec *Z);
Compute X*Y*Z
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | Y | TMtxVec * | |
| 3 | Z | TMtxVec * |
The following expression would also run at the same or higher speed, when passing X also for the Z parameter:
X^2*Y
Overload 10: TMtxVec *Mul(TMtxVec *X, TMtxVec *Y, const double Z);
Compute X*Y*zScalar
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | Y | TMtxVec * | |
| 3 | Z | const double |
The following expression would also run at the same or higher speed, when passing X also for the Z parameter:
X^2*zScalar
Overload 11: TMtxVec *Mul(TMtxVec *X, TMtxVec *Y, const TCplx &Z);
Compute X*Y*zScalar
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | Y | TMtxVec * | |
| 3 | Z | const TCplx & |
The following expression would also run at the same or higher speed, when passing X also for the Z parameter:
X^2*zScalar
Overload 12: TMtxVec *Mul(TMtxVec *X, int XIndex, TMtxVec *Y, int YIndex, TMtxVec *Z, int zIndex, int Index, int Len);
Compute X*Y*Z on sub array
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | XIndex | int | |
| 3 | Y | TMtxVec * | |
| 4 | YIndex | int | |
| 5 | Z | TMtxVec * | |
| 6 | zIndex | int | |
| 7 | Index | int | |
| 8 | Len | int |
Overload 13: TMtxVec *Mul(TMtxVec *X, int XIndex, TMtxVec *Y, int YIndex, const double Z, int Index, int Len);
Compute X*Y*zScalar on sub array
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | XIndex | int | |
| 3 | Y | TMtxVec * | |
| 4 | YIndex | int | |
| 5 | Z | const double | |
| 6 | Index | int | |
| 7 | Len | int |
Overload 14: TMtxVec *Mul(TMtxVec *X, int XIndex, TMtxVec *Y, int YIndex, const TCplx &Z, int Index, int Len);
Compute X*Y*zScalar on sub array
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TMtxVec * | |
| 2 | XIndex | int | |
| 3 | Y | TMtxVec * | |
| 4 | YIndex | int | |
| 5 | Z | const TCplx & | |
| 6 | Index | int | |
| 7 | Len | int |
Overload 15: TMtxVec *Mul(TMtxVec *Vec);
Vector multiplication.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * |
Multiply each of Vec elements with corresponding elements in the calling object. Size and TMtx::Complex property of the calling object are set automatically. The result is stored in the calling object.
Overload 16: TMtxVec *Mul(TMtxVec *Vec, int VecIndex, int Index, int Len);
Multiply Vec elements [VecIndex]..[VecIndex+Len-1] with calling object elements [Index]..[Index+Len-1] in-place.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec | TMtxVec * | |
| 2 | VecIndex | int | |
| 3 | Index | int | |
| 4 | Len | int |
An exception is raised if Vec and calling object TMtx::Complex property do not match or if array borders are overrun/underrun.
Overload 17: TMtxVec *Mul(TMtxVec *Vec1, TMtxVec *Vec2);
Multiply all Vec1 elements with corresponding Vec2 elements.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec1 | TMtxVec * | |
| 2 | Vec2 | TMtxVec * |
Store the results in calling object. Size and TMtx::Complex property of calling object are adjusted automatically to match those of Vec1 and Vec2. An exception is raised if Vec1 and Vec2 size and TMtx::Complex property do not match.
Overload 18: TMtxVec *Mul(TMtxVec *Vec1, TMtxVec *Vec2, int Vec1Index, int Vec2Index, int Index, int Len);
Multiply Vec1 elements [Vec1Index]..[Vec1Index+Len-1] with Vec2 object elements [Vec2Index]..[Vec2Index+Len-1].
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Vec1 | TMtxVec * | |
| 2 | Vec2 | TMtxVec * | |
| 3 | Vec1Index | int | |
| 4 | Vec2Index | int | |
| 5 | Index | int | |
| 6 | Len | int |
Store the results in calling object elements [Index]..[Index+Len-1]. Size and TMtx::Complex properties of the calling object must be set explicitly. An exception is raised if TMtx::ConditionCheck is True and array borders are overrun or underrun.
Overload 19: TMtx *Mul(TMtx *A, TMtx *B);
Matrix multiplication.
Performs matrix multiplication. In most general case the matrix multiplication is defined by the following equation (result = calling matrix):
where a and b are TMtx::Alfa and TMtx::Beta variables. The default values for a and b are Cplx(1,0) and Cplx(0,0), so the above equation is reduced to:
The Operation1 and Operation2 indicate additional TMtxOperation, performed on Mtx1 and Mtx2 respectively. Default value for operation is opNone (no additional operation). The Mtx1Type and Mtx2Type parameters indicate the TMtxType of Mtx1 and Mtx2 matrices. Depending what type of matrices you are multiplying, the Mul method will choose most optimized multiplication method. So, choosing the correct values for Mtx1Type and Mtx2Type can significantly speed up the multiplication.
This overloaded function performs a left side multiply operation B with A matrix and stores the results in the calling matrix. If Operation1 and/or Operation2 parameters are specified, perform additional operation on A or B. If Operation1 and/or Operation2 parameters are omitted, the default values (no operation) will be used. The TMtx::Rows, TMtx::Cols and TMtx::Complex properties of the calling matrix are adjusted automatically. An exception is raised is A Cols property does not match the B Rows property (matrix multiplication is not possible). An exception is raised, if TMtx::Complex property of A and B does not match.
Note
- If you are not sure, which TMtxType of matrix are you multiplying, you can use the mtGeneral type (general case).
- You can also use the TMtx::DetectMtxType method to determine the type of matrix.
- The routine is multithreaded, if specified by the environment variable.
Overload 20: TMtx *Mul(TMtx *Mtx1, TMtx *Mtx2, TMtxOperation Operation1, TMtxOperation Operation2 = TMtxOperation::opNone, TJITedMul JITedMul = TJITedMul::jtmDisabled);
Left side multiply Mtx2 with Mtx1 matrix and store the results in the calling matrix.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Mtx1 | TMtx * | |
| 2 | Mtx2 | TMtx * | |
| 3 | Operation1 | TMtxOperation | |
| 4 | Operation2 = TMtxOperation::opNone | TMtxOperation | |
| 5 | JITedMul = TJITedMul::jtmDisabled | TJITedMul |
If Operation1 and/or Operation2 parameters are specified, perform additional operation on Mtx1 or Mtx2. If Operation1 and/or Operation2 parameters are omitted, the default values (no operation) will be used. The TMtx::Rows, TMtx::Cols and TMtx::Complex properties of the calling matrix are adjusted automatically. An exception is raised is Mtx1 Cols property does not match the Mtx2 Rows property (matrix multiplication is not possible). An exception is raised, if Complex property of Mtx1 and Mtx2 does not match.
When JITedMul is set to jtmEnabled, the JIT-ed matrix kernel will be created. This creation takes some time and should only be used, if the function will be called many times with the same parameters. The parameters that may not change include the size of the matrices, but matrix objects and memory locations can vary. As a rule of thumb, the change of the parameters can be 2-3x slower than using tmDisabled, but when the parameters do not change for a small matrix of 2x2 the speed-up can be 50x.
Overload 21: TMtx *Mul(TMtx *Mtx1, TMtx *Mtx2, TMtxType Mtx1Type, TMtxType Mtx2Type = TMtxType::mtGeneral, TMtxOperation Operation1 = TMtxOperation::opNone, TMtxOperation Operation2 = TMtxOperation::opNone, TJITedMul JITedMul = TJITedMul::jtmDisabled);
Left side multiply Mtx2 with Mtx1 matrix and store the results in the calling matrix.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Mtx1 | TMtx * | |
| 2 | Mtx2 | TMtx * | |
| 3 | Mtx1Type | TMtxType | |
| 4 | Mtx2Type = TMtxType::mtGeneral | TMtxType | |
| 5 | Operation1 = TMtxOperation::opNone | TMtxOperation | |
| 6 | Operation2 = TMtxOperation::opNone | TMtxOperation | |
| 7 | JITedMul = TJITedMul::jtmDisabled | TJITedMul |
If parameters Mtx1Type and/or Mtx2Type are specified, the optimized multiplication method will be used. If parameters Mtx1Type and/or Mtx2Type are omitted, default values (general matrix) will be used. If Operation1 and/or Operation2 parameters are specified, perform additional operation on Mtx1 or Mtx2. If Operation1 and/or Operation2 parameters are omitted, the default values (no operation) will be used. The TMtx::Rows, TMtx::Cols and TMtx::Complex properties of the calling matrix are adjusted automatically. An exception is raised is Mtx1 Cols property does not match the Mtx2 Rows property (matrix multiplication is not possible). An exception is raised, if Complex property of Mtx1 and Mtx2 does not match.
When JITedMul is set to jtmEnabled, the JIT-ed matrix kernel will be created. This creation takes some time and should only be used, if the function will be called many times with the same parameters. The parameters that may not change include the size of the matrices, but matrix objects and memory locations can vary. As a rule of thumb, the change of the parameters can be 2-3x slower than using tmDisabled, but when the parameters do not change for a small matrix of 2x2 the speed-up can be 50x.
Overload 22: TMtx *Mul(TMtx *Mtx1, TMtx *Mtx2, TMtx *Mtx3);
Returns the matrix product of three matrices.
Internally calls TMtx::Mul and does JIT-ed (faster) multiply only for small square sized matrices.