public class DoubleMatrixDataSparse extends DoubleMatrixData
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BSD-style license. See OpenTrafficSim License.
cols, matrixSI, rows| Constructor and Description |
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DoubleMatrixDataSparse(double[][] dataSI)
Create a vector with sparse data.
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DoubleMatrixDataSparse(double[] denseSI,
int rows,
int cols)
Create a vector with sparse data from an internal vector with dense data.
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DoubleMatrixDataSparse(double[] matrixSI,
long[] indices,
int length,
int rows,
int cols)
Create a vector with sparse data.
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| Modifier and Type | Method and Description |
|---|---|
DoubleMatrixDataSparse |
copy() |
void |
decrementBy(DoubleMatrixData right)
Subtract a matrix from this matrix on a cell-by-cell basis.
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void |
divideBy(DoubleMatrixData right)
Divide the values of a matrix by the values of another matrix on a cell-by-cell basis.
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boolean |
equals(Object obj) |
double[][] |
getDenseMatrixSI() |
double |
getSI(int row,
int col) |
int |
hashCode() |
void |
incrementBy(DoubleMatrixData right)
Add a matrix to this matrix on a cell-by-cell basis.
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static DoubleMatrixDataSparse |
instantiate(double[][] valuesSI)
Instantiate a DoubleMatrixDataSparse from an array.
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void |
multiplyBy(DoubleMatrixData right)
Multiply a matrix with the values of another matrix on a cell-by-cell basis.
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void |
setSI(int row,
int col,
double valueSI)
Sets a value at the [row, col] point in the matrix.
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DoubleMatrixDataDense |
toDense() |
cardinality, cols, decrementBy, divide, divideBy, getStorageType, incrementBy, instantiate, instantiate, isDense, isSparse, minus, multiplyBy, plus, rows, times, toSparse, toString, zSumpublic DoubleMatrixDataSparse(double[] matrixSI,
long[] indices,
int length,
int rows,
int cols)
matrixSI - double[]; the data to storeindices - long[]; the index values of the Matrix, with <tt>index = row * cols + col</tt>length - int; the length of the vector (padded with 0 after highest index in indices)rows - int; the number of rowscols - int; the number of columnspublic DoubleMatrixDataSparse(double[] denseSI,
int rows,
int cols)
throws ValueException
denseSI - double[]; the dense data to storerows - int; the number of rowscols - int; the number of columnsValueException - in case size is incorrectpublic DoubleMatrixDataSparse(double[][] dataSI)
throws ValueException
dataSI - double[][]; the data to storeValueException - in case matrix is raggedpublic final DoubleMatrixDataDense toDense()
toDense in class DoubleMatrixDatapublic final double getSI(int row,
int col)
getSI in class DoubleMatrixDatarow - int; the row number to get the value forcol - int; the column number to get the value forpublic final void setSI(int row,
int col,
double valueSI)
setSI in class DoubleMatrixDatarow - int; the row number to set the value forcol - int; the column number to set the value forvalueSI - double; the value at the indexpublic final double[][] getDenseMatrixSI()
getDenseMatrixSI in class DoubleMatrixDatapublic final DoubleMatrixDataSparse copy()
copy in class DoubleMatrixDatapublic static DoubleMatrixDataSparse instantiate(double[][] valuesSI) throws ValueException
valuesSI - double[][]; the (SI) values to storeValueException - in case matrix is raggedpublic final void incrementBy(DoubleMatrixData right) throws ValueException
incrementBy in class DoubleMatrixDataright - DoubleMatrixData; the other data object to addValueException - if matrices have different lengthspublic final void decrementBy(DoubleMatrixData right) throws ValueException
decrementBy in class DoubleMatrixDataright - DoubleMatrixData; the other data object to subtractValueException - if matrices have different lengthspublic final void multiplyBy(DoubleMatrixData right) throws ValueException
multiplyBy in class DoubleMatrixDataright - DoubleMatrixData; the other data object to multiply withValueException - if matrices have different lengthspublic final void divideBy(DoubleMatrixData right) throws ValueException
divideBy in class DoubleMatrixDataright - DoubleMatrixData; the other data object to divide byValueException - if matrices have different lengthspublic int hashCode()
hashCode in class DoubleMatrixDatapublic boolean equals(Object obj)
equals in class DoubleMatrixDataCopyright © 2015–2019 Delft University of Technology. All rights reserved.