Class CommonOps_FDF4
Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.
DO NOT MODIFY. Automatically generated code created by GenerateCommonOps_DDF
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic void
Performs the following operation:
c = a + b
ci = ai + bistatic void
add
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = a + b
cij = aij + bijstatic void
Performs the following operation:
a = a + b
ai = ai + bistatic void
addEquals
(FMatrix4x4 a, FMatrix4x4 b) Performs the following operation:
a = a + b
aij = aij + bijstatic void
Changes the sign of every element in the vector.
ai = -aistatic void
Changes the sign of every element in the matrix.
aij = -aijstatic boolean
cholL
(FMatrix4x4 A) Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.static boolean
cholU
(FMatrix4x4 A) Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.static float
det
(FMatrix4x4 mat) Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.static void
diag
(FMatrix4x4 input, FMatrix4 out) Extracts all diagonal elements from 'input' and places them inside the 'out' vector.static void
Performs an in-place element by element scalar division.static void
Performs an element by element scalar division.static void
divide
(FMatrix4x4 a, float alpha) Performs an in-place element by element scalar division.static void
divide
(FMatrix4x4 a, float alpha, FMatrix4x4 b) Performs an element by element scalar division.static float
Performs the vector dot product:
c = a * b
c ≥ ∑k=1:n { bk * ak }static void
elementDiv
(FMatrix4 a, FMatrix4 b) Performs an element by element division operation:
ai = ai / bistatic void
elementDiv
(FMatrix4 a, FMatrix4 b, FMatrix4 c) Performs an element by element division operation:
ci = ai / bistatic void
elementDiv
(FMatrix4x4 a, FMatrix4x4 b) Performs an element by element division operation:
aij = aij / bijstatic void
elementDiv
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs an element by element division operation:
cij = aij / bijstatic float
Returns the value of the element in the vector that has the largest value.
Max{ ai } for all istatic float
Returns the value of the element in the matrix that has the largest value.
Max{ aij } for all i and jstatic float
Returns the absolute value of the element in the vector that has the largest absolute value.
Max{ |ai| } for all istatic float
Returns the absolute value of the element in the matrix that has the largest absolute value.
Max{ |aij| } for all i and jstatic float
Returns the value of the element in the vector that has the minimum value.
Min{ ai } for allstatic float
Returns the value of the element in the matrix that has the minimum value.
Min{ aij } for all i and jstatic float
Returns the absolute value of the element in the vector that has the smallest absolute value.
Min{ |ai| } for all istatic float
Returns the absolute value of the element in the matrix that has the smallest absolute value.
Min{ |aij| } for all i and jstatic void
elementMult
(FMatrix4 a, FMatrix4 b) Performs an element by element multiplication operation:
ai = ai * bistatic void
elementMult
(FMatrix4 a, FMatrix4 b, FMatrix4 c) Performs an element by element multiplication operation:
ci = ai * bjstatic void
elementMult
(FMatrix4x4 a, FMatrix4x4 b) Performs an element by element multiplication operation:
aij = aij * bijstatic void
elementMult
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs an element by element multiplication operation:
cij = aij * bijstatic FMatrix4
extractColumn
(FMatrix4x4 a, int column, FMatrix4 out) Extracts the column from the matrix a.static FMatrix4
extractRow
(FMatrix4x4 a, int row, FMatrix4 out) Extracts the row from the matrix a.static void
Sets every element in the vector to the specified value.
ai = valuestatic void
fill
(FMatrix4x4 a, float v) Sets every element in the matrix to the specified value.
aij = valuestatic boolean
invert
(FMatrix4x4 a, FMatrix4x4 inv) Inverts matrix 'a' using minor matrices and stores the results in 'inv'.static void
mult
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = α * a * b
cij = α ∑k=1:n { aik * bkj}static void
mult
(FMatrix4 a, FMatrix4x4 b, FMatrix4 c) Performs vector to matrix multiplication:
c = a * b
cj = ∑k=1:n { bk * akj }static void
mult
(FMatrix4x4 a, FMatrix4 b, FMatrix4 c) Performs matrix to vector multiplication:
c = a * b
ci = ∑k=1:n { aik * bk}static void
mult
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = a * b
cij = ∑k=1:n { aik * bkj}static void
multAdd
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += α * a * b
cij += α ∑k=1:n { aik * bkj}static void
multAdd
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += a * b
cij += ∑k=1:n { aik * bkj}static void
multAddOuter
(float alpha, FMatrix4x4 A, float beta, FMatrix4 u, FMatrix4 v, FMatrix4x4 C) C = αA + βu*vTstatic void
multAddTransA
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += α * aT * b
cij += α * ∑k=1:n { aki * bkj}static void
multAddTransA
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += aT * b
cij += ∑k=1:n { aki * bkj}static void
multAddTransAB
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}static void
multAddTransAB
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += aT * bT
cij += ∑k=1:n { aki * bjk}static void
multAddTransB
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += α * a * bT
cij += α*∑k=1:n { aik * bjk}static void
multAddTransB
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c += a * bT
cij += ∑k=1:n { aik * bjk}static void
multTransA
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = α * aT * b
cij = α * ∑k=1:n { aki * bkj}static void
multTransA
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = aT * b
cij = ∑k=1:n { aki * bkj}static void
multTransAB
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}static void
multTransAB
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = aT * bT
cij = ∑k=1:n { aki * bjk}static void
multTransB
(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = α * a * bT
cij = α*∑k=1:n { aik * bjk}static void
multTransB
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = a * bT
cij = ∑k=1:n { aik * bjk}static void
Performs an in-place element by element scalar multiplication.
aij = α*aijstatic void
Performs an element by element scalar multiplication.
bi = α*aistatic void
scale
(float alpha, FMatrix4x4 a) Performs an in-place element by element scalar multiplication.
aij = α*aijstatic void
scale
(float alpha, FMatrix4x4 a, FMatrix4x4 b) Performs an element by element scalar multiplication.
bij = α*aijstatic void
Sets all the diagonal elements equal to one and everything else equal to zero.static void
Performs the following operation:
c = a - b
ci = ai - bistatic void
subtract
(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c) Performs the following operation:
c = a - b
cij = aij - bijstatic void
subtractEquals
(FMatrix4 a, FMatrix4 b) Performs the following operation:
a = a - b
ai = ai - bistatic void
Performs the following operation:
a = a - b
aij = aij - bijstatic float
trace
(FMatrix4x4 a) This computes the trace of the matrix:
trace = ∑i=1:n { aii }static void
Performs an in-place transpose.static FMatrix4x4
transpose
(FMatrix4x4 input, FMatrix4x4 output) Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'.
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Constructor Details
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CommonOps_FDF4
public CommonOps_FDF4()
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Method Details
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add
Performs the following operation:
c = a + b
cij = aij + bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
a
- A Matrix. Not modified.b
- A Matrix. Not modified.c
- A Matrix where the results are stored. Modified.
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add
Performs the following operation:
c = a + b
ci = ai + bi
Vector C can be the same instance as Vector A and/or B.
- Parameters:
a
- A Vector. Not modified.b
- A Vector. Not modified.c
- A Vector where the results are stored. Modified.
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addEquals
Performs the following operation:
a = a + b
aij = aij + bij
- Parameters:
a
- A Matrix. Modified.b
- A Matrix. Not modified.
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addEquals
Performs the following operation:
a = a + b
ai = ai + bi
- Parameters:
a
- A Vector. Modified.b
- A Vector. Not modified.
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subtract
Performs the following operation:
c = a - b
cij = aij - bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
a
- A Matrix. Not modified.b
- A Matrix. Not modified.c
- A Matrix where the results are stored. Modified.
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subtract
Performs the following operation:
c = a - b
ci = ai - bi
Vector C can be the same instance as Vector A and/or B.
- Parameters:
a
- A Vector. Not modified.b
- A Vector. Not modified.c
- A Vector where the results are stored. Modified.
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subtractEquals
Performs the following operation:
a = a - b
aij = aij - bij
- Parameters:
a
- A Matrix. Modified.b
- A Matrix. Not modified.
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subtractEquals
Performs the following operation:
a = a - b
ai = ai - bi
- Parameters:
a
- A Vector. Modified.b
- A Vector. Not modified.
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transpose
Performs an in-place transpose. This algorithm is only efficient for square matrices.- Parameters:
m
- The matrix that is to be transposed. Modified.
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transpose
Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'.- Parameters:
input
- The original matrix. Not modified.output
- Where the transpose is stored. If null a new matrix is created. Modified.- Returns:
- The transposed matrix.
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mult
Performs the following operation:
c = a * b
cij = ∑k=1:n { aik * bkj}- Parameters:
a
- The left matrix in the multiplication operation. Not modified.b
- The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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mult
Performs the following operation:
c = α * a * b
cij = α ∑k=1:n { aik * bkj}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransA
Performs the following operation:
c = aT * b
cij = ∑k=1:n { aki * bkj}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransA
Performs the following operation:
c = α * aT * b
cij = α * ∑k=1:n { aki * bkj}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransAB
Performs the following operation:
c = aT * bT
cij = ∑k=1:n { aki * bjk}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransAB
Performs the following operation:
c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransB
Performs the following operation:
c = a * bT
cij = ∑k=1:n { aik * bjk}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multTransB
Performs the following operation:
c = α * a * bT
cij = α*∑k=1:n { aik * bjk}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAdd
Performs the following operation:
c += a * b
cij += ∑k=1:n { aik * bkj}- Parameters:
a
- The left matrix in the multiplication operation. Not modified.b
- The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAdd
Performs the following operation:
c += α * a * b
cij += α ∑k=1:n { aik * bkj}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransA
Performs the following operation:
c += aT * b
cij += ∑k=1:n { aki * bkj}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransA
Performs the following operation:
c += α * aT * b
cij += α * ∑k=1:n { aki * bkj}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransAB
Performs the following operation:
c += aT * bT
cij += ∑k=1:n { aki * bjk}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransAB
Performs the following operation:
c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransB
Performs the following operation:
c += a * bT
cij += ∑k=1:n { aik * bjk}- Parameters:
a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddTransB
Performs the following operation:
c += α * a * bT
cij += α*∑k=1:n { aik * bjk}- Parameters:
alpha
- Scaling factor.a
- (Input) The left matrix in the multiplication operation. Not modified.b
- (Input) The right matrix in the multiplication operation. Not modified.c
- (Output) Where the results of the operation are stored. Modified.
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multAddOuter
public static void multAddOuter(float alpha, FMatrix4x4 A, float beta, FMatrix4 u, FMatrix4 v, FMatrix4x4 C) C = αA + βu*vT- Parameters:
alpha
- scale factor applied to AA
- matrixbeta
- scale factor applies to outer productu
- vectorv
- vectorC
- Storage for solution. Can be same instance as A.
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mult
Performs matrix to vector multiplication:
c = a * b
ci = ∑k=1:n { aik * bk}- Parameters:
a
- The left matrix in the multiplication operation. Not modified.b
- The right vector in the multiplication operation. Not modified.c
- Where the results of the operation are stored. Modified.
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mult
Performs vector to matrix multiplication:
c = a * b
cj = ∑k=1:n { bk * akj }- Parameters:
a
- The left vector in the multiplication operation. Not modified.b
- The right matrix in the multiplication operation. Not modified.c
- Where the results of the operation are stored. Modified.
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dot
Performs the vector dot product:
c = a * b
c ≥ ∑k=1:n { bk * ak }- Parameters:
a
- The left vector in the multiplication operation. Not modified.b
- The right matrix in the multiplication operation. Not modified.- Returns:
- The dot product
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setIdentity
Sets all the diagonal elements equal to one and everything else equal to zero. If this is a square matrix then it will be an identity matrix.- Parameters:
a
- A matrix.
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invert
Inverts matrix 'a' using minor matrices and stores the results in 'inv'. Scaling is applied to improve stability against overflow and underflow. WARNING: Potentially less stable than using LU decomposition.- Parameters:
a
- (Input) Matrix.inv
- (Output) Inverted matrix. Can be the same as 'a'.- Returns:
- true if it was successful or false if it failed. Not reliable.
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det
Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.- Parameters:
mat
- Input matrix. Not modified.- Returns:
- The determinant.
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cholL
Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.- Parameters:
A
- (Input) SPD Matrix. (Output) lower cholesky.- Returns:
- true if it was successful or false if it failed. Not always reliable.
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cholU
Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.- Parameters:
A
- (Input) SPD Matrix. (Output) upper cholesky.- Returns:
- true if it was successful or false if it failed. Not always reliable.
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trace
This computes the trace of the matrix:
trace = ∑i=1:n { aii }The trace is only defined for square matrices.
- Parameters:
a
- A square matrix. Not modified.
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diag
Extracts all diagonal elements from 'input' and places them inside the 'out' vector. Elements are in sequential order.
- Parameters:
input
- Matrix. Not modified.out
- Vector containing diagonal elements. Modified.
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elementMax
Returns the value of the element in the matrix that has the largest value.
Max{ aij } for all i and j
- Parameters:
a
- A matrix. Not modified.- Returns:
- The max element value of the matrix.
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elementMax
Returns the value of the element in the vector that has the largest value.
Max{ ai } for all i
- Parameters:
a
- A vector. Not modified.- Returns:
- The max element value of the matrix.
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elementMaxAbs
Returns the absolute value of the element in the matrix that has the largest absolute value.
Max{ |aij| } for all i and j
- Parameters:
a
- A matrix. Not modified.- Returns:
- The max abs element value of the matrix.
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elementMaxAbs
Returns the absolute value of the element in the vector that has the largest absolute value.
Max{ |ai| } for all i
- Parameters:
a
- A matrix. Not modified.- Returns:
- The max abs element value of the vector.
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elementMin
Returns the value of the element in the matrix that has the minimum value.
Min{ aij } for all i and j
- Parameters:
a
- A matrix. Not modified.- Returns:
- The value of element in the matrix with the minimum value.
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elementMin
Returns the value of the element in the vector that has the minimum value.
Min{ ai } for all
- Parameters:
a
- A matrix. Not modified.- Returns:
- The value of element in the vector with the minimum value.
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elementMinAbs
Returns the absolute value of the element in the matrix that has the smallest absolute value.
Min{ |aij| } for all i and j
- Parameters:
a
- A matrix. Not modified.- Returns:
- The max element value of the matrix.
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elementMinAbs
Returns the absolute value of the element in the vector that has the smallest absolute value.
Min{ |ai| } for all i
- Parameters:
a
- A matrix. Not modified.- Returns:
- The max element value of the vector.
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elementMult
Performs an element by element multiplication operation:
aij = aij * bij
- Parameters:
a
- The left matrix in the multiplication operation. Modified.b
- The right matrix in the multiplication operation. Not modified.
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elementMult
Performs an element by element multiplication operation:
ai = ai * bi
- Parameters:
a
- The left vector in the multiplication operation. Modified.b
- The right vector in the multiplication operation. Not modified.
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elementMult
Performs an element by element multiplication operation:
cij = aij * bij
- Parameters:
a
- The left matrix in the multiplication operation. Not modified.b
- The right matrix in the multiplication operation. Not modified.c
- Where the results of the operation are stored. Modified.
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elementMult
Performs an element by element multiplication operation:
ci = ai * bj
- Parameters:
a
- The left vector in the multiplication operation. Not modified.b
- The right vector in the multiplication operation. Not modified.c
- Where the results of the operation are stored. Modified.
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elementDiv
Performs an element by element division operation:
aij = aij / bij
- Parameters:
a
- The left matrix in the division operation. Modified.b
- The right matrix in the division operation. Not modified.
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elementDiv
Performs an element by element division operation:
ai = ai / bi
- Parameters:
a
- The left vector in the division operation. Modified.b
- The right vector in the division operation. Not modified.
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elementDiv
Performs an element by element division operation:
cij = aij / bij
- Parameters:
a
- The left matrix in the division operation. Not modified.b
- The right matrix in the division operation. Not modified.c
- Where the results of the operation are stored. Modified.
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elementDiv
Performs an element by element division operation:
ci = ai / bi
- Parameters:
a
- The left vector in the division operation. Not modified.b
- The right vector in the division operation. Not modified.c
- Where the results of the operation are stored. Modified.
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scale
Performs an in-place element by element scalar multiplication.
aij = α*aij- Parameters:
a
- The matrix that is to be scaled. Modified.alpha
- the amount each element is multiplied by.
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scale
Performs an in-place element by element scalar multiplication.
aij = α*aij- Parameters:
a
- The vector that is to be scaled. Modified.alpha
- the amount each element is multiplied by.
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scale
Performs an element by element scalar multiplication.
bij = α*aij- Parameters:
alpha
- the amount each element is multiplied by.a
- The matrix that is to be scaled. Not modified.b
- Where the scaled matrix is stored. Modified.
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scale
Performs an element by element scalar multiplication.
bi = α*ai- Parameters:
alpha
- the amount each element is multiplied by.a
- The vector that is to be scaled. Not modified.b
- Where the scaled matrix is stored. Modified.
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divide
Performs an in-place element by element scalar division. Scalar denominator.
aij = aij/α- Parameters:
a
- The matrix whose elements are to be divided. Modified.alpha
- the amount each element is divided by.
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divide
Performs an in-place element by element scalar division. Scalar denominator.
ai = ai/α- Parameters:
a
- The vector whose elements are to be divided. Modified.alpha
- the amount each element is divided by.
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divide
Performs an element by element scalar division. Scalar denominator.
bij = aij /α- Parameters:
alpha
- the amount each element is divided by.a
- The matrix whose elements are to be divided. Not modified.b
- Where the results are stored. Modified.
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divide
Performs an element by element scalar division. Scalar denominator.
bi = ai /α- Parameters:
alpha
- the amount each element is divided by.a
- The vector whose elements are to be divided. Not modified.b
- Where the results are stored. Modified.
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changeSign
Changes the sign of every element in the matrix.
aij = -aij- Parameters:
a
- A matrix. Modified.
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changeSign
Changes the sign of every element in the vector.
ai = -ai- Parameters:
a
- A vector. Modified.
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fill
Sets every element in the matrix to the specified value.
aij = value- Parameters:
a
- A matrix whose elements are about to be set. Modified.v
- The value each element will have.
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fill
Sets every element in the vector to the specified value.
ai = value- Parameters:
a
- A vector whose elements are about to be set. Modified.v
- The value each element will have.
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extractRow
Extracts the row from the matrix a.- Parameters:
a
- Input matrixrow
- Which row is to be extractedout
- output. Storage for the extracted row. If null then a new vector will be returned.- Returns:
- The extracted row.
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extractColumn
Extracts the column from the matrix a.- Parameters:
a
- Input matrixcolumn
- Which column is to be extractedout
- output. Storage for the extracted column. If null then a new vector will be returned.- Returns:
- The extracted column.
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