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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2018, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ejml.simple.ops;
import org.ejml.data.Complex_F64;
import org.ejml.data.FMatrixRMaj;
import org.ejml.data.Matrix;
import org.ejml.dense.row.CommonOps_FDRM;
import org.ejml.dense.row.MatrixFeatures_FDRM;
import org.ejml.dense.row.NormOps_FDRM;
import org.ejml.dense.row.mult.VectorVectorMult_FDRM;
import org.ejml.ops.MatrixIO;
import org.ejml.simple.SimpleOperations;
import java.io.PrintStream;
//CUSTOM ignore Complex_F64
//CUSTOM ignore org.ejml.data.Complex_F64;
/**
* @author Peter Abeles
*/
public class SimpleOperations_FDRM implements SimpleOperations {
@Override
public void set(FMatrixRMaj A, int row, int column, /**/double value) {
A.set(row,column, (float)value);
}
@Override
public void set(FMatrixRMaj A, int row, int column, /**/double real, /**/double imaginary) {
throw new IllegalArgumentException("Does not support imaginary values");
}
@Override
public /**/double get(FMatrixRMaj A, int row, int column) {
return (float)A.get(row,column);
}
@Override
public void get(FMatrixRMaj A, int row, int column, Complex_F64 value) {
value.real = A.get(row,column);
value.imaginary = 0;
}
@Override
public void fill(FMatrixRMaj A, /**/double value) {
CommonOps_FDRM.fill(A, (float)value);
}
@Override
public void transpose(FMatrixRMaj input, FMatrixRMaj output) {
CommonOps_FDRM.transpose(input,output);
}
@Override
public void mult(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.mult(A,B,output);
}
@Override
public void kron(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.kron(A,B,output);
}
@Override
public void plus(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.add(A,B,output);
}
@Override
public void minus(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.subtract(A,B,output);
}
@Override
public void minus(FMatrixRMaj A, /**/double b, FMatrixRMaj output) {
CommonOps_FDRM.subtract(A, (float)b, output);
}
@Override
public void plus(FMatrixRMaj A, /**/double b, FMatrixRMaj output) {
CommonOps_FDRM.add(A, (float)b, output);
}
@Override
public void plus(FMatrixRMaj A, /**/double beta, FMatrixRMaj b, FMatrixRMaj output) {
CommonOps_FDRM.add(A, (float)beta, b, output);
}
@Override
public /**/double dot(FMatrixRMaj A, FMatrixRMaj v) {
return VectorVectorMult_FDRM.innerProd(A, v);
}
@Override
public void scale(FMatrixRMaj A, /**/double val, FMatrixRMaj output) {
CommonOps_FDRM.scale( (float)val, A,output);
}
@Override
public void divide(FMatrixRMaj A, /**/double val, FMatrixRMaj output) {
CommonOps_FDRM.divide( A, (float)val,output);
}
@Override
public boolean invert(FMatrixRMaj A, FMatrixRMaj output) {
return CommonOps_FDRM.invert(A,output);
}
@Override
public void setIdentity(FMatrixRMaj A) {
CommonOps_FDRM.setIdentity(A);
}
@Override
public void pseudoInverse(FMatrixRMaj A, FMatrixRMaj output) {
CommonOps_FDRM.pinv(A,output);
}
@Override
public boolean solve(FMatrixRMaj A, FMatrixRMaj X, FMatrixRMaj B) {
return CommonOps_FDRM.solve(A,B,X);
}
@Override
public void set(FMatrixRMaj A, /**/double val) {
CommonOps_FDRM.fill(A, (float)val );
}
@Override
public void zero(FMatrixRMaj A) {
A.zero();
}
@Override
public /**/double normF(FMatrixRMaj A) {
return NormOps_FDRM.normF(A);
}
@Override
public /**/double conditionP2(FMatrixRMaj A) {
return NormOps_FDRM.conditionP2(A);
}
@Override
public /**/double determinant(FMatrixRMaj A) {
return CommonOps_FDRM.det(A);
}
@Override
public /**/double trace(FMatrixRMaj A) {
return CommonOps_FDRM.trace(A);
}
@Override
public void setRow(FMatrixRMaj A, int row, int startColumn, /**/double... values) {
for (int i = 0; i < values.length; i++) {
A.set(row, startColumn + i, (float)values[i]);
}
}
@Override
public void setColumn(FMatrixRMaj A, int column, int startRow, /**/double... values) {
for (int i = 0; i < values.length; i++) {
A.set(startRow + i, column, (float)values[i]);
}
}
@Override
public void extract(FMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1, FMatrixRMaj dst, int dstY0, int dstX0) {
CommonOps_FDRM.extract(src,srcY0,srcY1,srcX0,srcX1,dst,dstY0,dstX0);
}
@Override
public FMatrixRMaj diag(FMatrixRMaj A) {
FMatrixRMaj output;
if (MatrixFeatures_FDRM.isVector(A)) {
int N = Math.max(A.numCols,A.numRows);
output = new FMatrixRMaj(N,N);
CommonOps_FDRM.diag(output,N,A.data);
} else {
int N = Math.min(A.numCols,A.numRows);
output = new FMatrixRMaj(N,1);
CommonOps_FDRM.extractDiag(A,output);
}
return output;
}
@Override
public boolean hasUncountable(FMatrixRMaj M) {
return MatrixFeatures_FDRM.hasUncountable(M);
}
@Override
public void changeSign(FMatrixRMaj a) {
CommonOps_FDRM.changeSign(a);
}
@Override
public /**/double elementMaxAbs(FMatrixRMaj A) {
return CommonOps_FDRM.elementMaxAbs(A);
}
@Override
public /**/double elementMinAbs(FMatrixRMaj A) {
return CommonOps_FDRM.elementMinAbs(A);
}
@Override
public /**/double elementSum(FMatrixRMaj A) {
return CommonOps_FDRM.elementSum(A);
}
@Override
public void elementMult(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.elementMult(A,B,output);
}
@Override
public void elementDiv(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.elementDiv(A,B,output);
}
@Override
public void elementPower(FMatrixRMaj A, FMatrixRMaj B, FMatrixRMaj output) {
CommonOps_FDRM.elementPower(A,B,output);
}
@Override
public void elementPower(FMatrixRMaj A, /**/double b, FMatrixRMaj output) {
CommonOps_FDRM.elementPower(A, (float)b, output);
}
@Override
public void elementExp(FMatrixRMaj A, FMatrixRMaj output) {
CommonOps_FDRM.elementExp(A,output);
}
@Override
public void elementLog(FMatrixRMaj A, FMatrixRMaj output) {
CommonOps_FDRM.elementLog(A,output);
}
@Override
public boolean isIdentical(FMatrixRMaj A, FMatrixRMaj B, /**/double tol) {
return MatrixFeatures_FDRM.isIdentical(A,B, (float)tol);
}
@Override
public void print(PrintStream out, Matrix mat, String format) {
MatrixIO.print(out, (FMatrixRMaj)mat, format);
}
}