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Packages that use Matrix | |
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lejos.util | More utility classes |
Uses of Matrix in lejos.util |
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Methods in lejos.util that return Matrix | |
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Matrix |
Matrix.arrayLeftDivide(Matrix B)
Element-by-element left division, C = A. |
Matrix |
Matrix.arrayLeftDivideEquals(Matrix B)
Element-by-element left division in place, A = A. |
Matrix |
Matrix.arrayRightDivide(Matrix B)
Element-by-element right division, C = A. |
Matrix |
Matrix.arrayRightDivideEquals(Matrix B)
Element-by-element right division in place, A = A. |
Matrix |
Matrix.arrayTimes(Matrix B)
Element-by-element multiplication, C = A. |
Matrix |
Matrix.arrayTimesEquals(Matrix B)
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static Matrix |
Matrix.constructWithCopy(double[][] A)
Construct a matrix from a copy of a 2-D array. |
Matrix |
Matrix.copy()
Make a deep copy of a matrix |
Matrix |
KalmanFilter.getCovariance()
|
Matrix |
KalmanFilter.getGain()
|
Matrix |
LUDecomposition.getL()
Return lower triangular factor |
Matrix |
Matrix.getMatrix(int[] r,
int[] c)
Get a submatrix. |
Matrix |
Matrix.getMatrix(int[] r,
int j0,
int j1)
Get a submatrix. |
Matrix |
Matrix.getMatrix(int i0,
int i1,
int[] c)
Get a submatrix. |
Matrix |
Matrix.getMatrix(int i0,
int i1,
int j0,
int j1)
Get a submatrix. |
Matrix |
KalmanFilter.getMean()
|
Matrix |
KalmanFilter.getPredictedCovariance()
|
Matrix |
KalmanFilter.getPredictedMean()
|
Matrix |
LUDecomposition.getU()
Return upper triangular factor |
static Matrix |
Matrix.identity(int m,
int n)
Generate identity matrix |
Matrix |
Matrix.inverse()
Matrix inverse or pseudoinverse |
Matrix |
Matrix.minus(Matrix B)
C = A - B |
Matrix |
Matrix.minusEquals(Matrix B)
A = A - B |
Matrix |
Matrix.plus(Matrix B)
C = A + B |
Matrix |
Matrix.plusEquals(Matrix B)
A = A + B |
static Matrix |
Matrix.random(int m,
int n)
Generate matrix with random elements |
Matrix |
LUDecomposition.solve(Matrix B)
Solve A*X = B |
Matrix |
Matrix.solve(Matrix B)
Solve A*X = B |
Matrix |
Matrix.times(double s)
Multiply a matrix by a scalar, C = s*A |
Matrix |
Matrix.times(Matrix B)
Linear algebraic matrix multiplication, A * B |
Matrix |
Matrix.timesEquals(double s)
Multiply a matrix by a scalar in place, A = s*A |
Matrix |
Matrix.transpose()
Matrix transpose. |
Matrix |
Matrix.uminus()
Unary minus |
Methods in lejos.util with parameters of type Matrix | |
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Matrix |
Matrix.arrayLeftDivide(Matrix B)
Element-by-element left division, C = A. |
Matrix |
Matrix.arrayLeftDivideEquals(Matrix B)
Element-by-element left division in place, A = A. |
Matrix |
Matrix.arrayRightDivide(Matrix B)
Element-by-element right division, C = A. |
Matrix |
Matrix.arrayRightDivideEquals(Matrix B)
Element-by-element right division in place, A = A. |
Matrix |
Matrix.arrayTimes(Matrix B)
Element-by-element multiplication, C = A. |
Matrix |
Matrix.arrayTimesEquals(Matrix B)
|
Matrix |
Matrix.minus(Matrix B)
C = A - B |
Matrix |
Matrix.minusEquals(Matrix B)
A = A - B |
Matrix |
Matrix.plus(Matrix B)
C = A + B |
Matrix |
Matrix.plusEquals(Matrix B)
A = A + B |
void |
Matrix.setMatrix(int[] r,
int[] c,
Matrix X)
Set a submatrix. |
void |
Matrix.setMatrix(int[] r,
int j0,
int j1,
Matrix X)
Set a submatrix. |
void |
Matrix.setMatrix(int i0,
int i1,
int[] c,
Matrix X)
Set a submatrix. |
void |
Matrix.setMatrix(int i0,
int i1,
int j0,
int j1,
Matrix X)
Set a submatrix. |
void |
KalmanFilter.setState(Matrix mean,
Matrix covariance)
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Matrix |
LUDecomposition.solve(Matrix B)
Solve A*X = B |
Matrix |
Matrix.solve(Matrix B)
Solve A*X = B |
Matrix |
Matrix.times(Matrix B)
Linear algebraic matrix multiplication, A * B |
void |
KalmanFilter.update(Matrix control,
Matrix measurement)
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Constructors in lejos.util with parameters of type Matrix | |
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KalmanFilter(Matrix a,
Matrix b,
Matrix c,
Matrix q,
Matrix r)
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LUDecomposition(Matrix A)
LU Decomposition |
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