org.ejml.simple.ops.SimpleOperations_ZDRM Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of ejml-simple Show documentation
Show all versions of ejml-simple Show documentation
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.Matrix;
import org.ejml.data.ZMatrixRMaj;
import org.ejml.dense.row.CommonOps_ZDRM;
import org.ejml.dense.row.MatrixFeatures_ZDRM;
import org.ejml.dense.row.NormOps_ZDRM;
import org.ejml.ops.MatrixIO;
import org.ejml.simple.SimpleOperations;
import org.ejml.simple.UnsupportedOperation;
import java.io.PrintStream;
//CUSTOM ignore Complex_F64
//CUSTOM ignore org.ejml.data.Complex_F64;
/**
* @author Peter Abeles
*/
public class SimpleOperations_ZDRM implements SimpleOperations {
@Override
public void set(ZMatrixRMaj A, int row, int column, /**/double value) {
A.set(row,column, (double)value, 0);
}
@Override
public void set(ZMatrixRMaj A, int row, int column, /**/double real, /**/double imaginary) {
A.set(row,column, (double)real, (double)imaginary);
}
@Override
public /**/double get(ZMatrixRMaj A, int row, int column) {
return (double)A.getReal(row,column);
}
@Override
public void get(ZMatrixRMaj A, int row, int column, Complex_F64 value) {
int index = A.getIndex(row,column);
value.real = A.data[index];
value.imaginary = A.data[index+1];
}
@Override
public void fill(ZMatrixRMaj A, /**/double value) {
CommonOps_ZDRM.fill(A, (double)value,0);
}
@Override
public void transpose(ZMatrixRMaj input, ZMatrixRMaj output) {
CommonOps_ZDRM.transpose(input,output);
}
@Override
public void mult(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
CommonOps_ZDRM.mult(A,B,output);
}
@Override
public void kron(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
// CommonOps_ZDRM.kron(A,B,output);
throw new UnsupportedOperation();
}
@Override
public void plus(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
CommonOps_ZDRM.add(A,B,output);
}
@Override
public void minus(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
CommonOps_ZDRM.subtract(A,B,output);
}
@Override
public void minus(ZMatrixRMaj A, /**/double b, ZMatrixRMaj output) {
// CommonOps_ZDRM.subtract(A, (double)b, output);
throw new UnsupportedOperation();
}
@Override
public void plus(ZMatrixRMaj A, /**/double b, ZMatrixRMaj output) {
// CommonOps_ZDRM.add(A, (double)b, output);
throw new UnsupportedOperation();
}
@Override
public void plus(ZMatrixRMaj A, /**/double beta, ZMatrixRMaj b, ZMatrixRMaj output) {
// CommonOps_ZDRM.add(A, (double)beta, b, output);
throw new UnsupportedOperation();
}
@Override
public /**/double dot(ZMatrixRMaj A, ZMatrixRMaj v) {
// return VectorVectorMult_DDRM.innerProd(A, v);
throw new UnsupportedOperation();
}
@Override
public void scale(ZMatrixRMaj A, /**/double val, ZMatrixRMaj output) {
// CommonOps_ZDRM.scale( (double)val, 0,A,output);
throw new UnsupportedOperation();
}
@Override
public void divide(ZMatrixRMaj A, /**/double val, ZMatrixRMaj output) {
// CommonOps_ZDRM.divide( A, (double)val,output);
throw new UnsupportedOperation();
}
@Override
public boolean invert(ZMatrixRMaj A, ZMatrixRMaj output) {
return CommonOps_ZDRM.invert(A,output);
}
@Override
public void setIdentity(ZMatrixRMaj A) {
CommonOps_ZDRM.setIdentity(A);
}
@Override
public void pseudoInverse(ZMatrixRMaj A, ZMatrixRMaj output) {
// CommonOps_ZDRM.pinv(A,output);
throw new UnsupportedOperation();
}
@Override
public boolean solve(ZMatrixRMaj A, ZMatrixRMaj X, ZMatrixRMaj B) {
return CommonOps_ZDRM.solve(A,B,X);
}
@Override
public void set(ZMatrixRMaj A, /**/double val) {
CommonOps_ZDRM.fill(A, (double)val ,0);
}
@Override
public void zero(ZMatrixRMaj A) {
A.zero();
}
@Override
public /**/double normF(ZMatrixRMaj A) {
return NormOps_ZDRM.normF(A);
}
@Override
public /**/double conditionP2(ZMatrixRMaj A) {
// return NormOps_ZDRM.conditionP2(A);
throw new UnsupportedOperation();
}
@Override
public /**/double determinant(ZMatrixRMaj A) {
return CommonOps_ZDRM.det(A).real;
}
@Override
public /**/double trace(ZMatrixRMaj A) {
// return CommonOps_ZDRM.trace(A);
throw new UnsupportedOperation();
}
@Override
public void setRow(ZMatrixRMaj A, int row, int startColumn, /**/double... values) {
for (int i = 0; i < values.length; i++) {
A.set(row, startColumn + i, (double)values[i],0);
}
}
@Override
public void setColumn(ZMatrixRMaj A, int column, int startRow, /**/double... values) {
for (int i = 0; i < values.length; i++) {
A.set(startRow + i, column, (double)values[i],0);
}
}
@Override
public void extract(ZMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1, ZMatrixRMaj dst, int dstY0, int dstX0) {
CommonOps_ZDRM.extract(src,srcY0,srcY1,srcX0,srcX1,dst,dstY0,dstX0);
}
@Override
public ZMatrixRMaj diag(ZMatrixRMaj A) {
ZMatrixRMaj output;
if (MatrixFeatures_ZDRM.isVector(A)) {
int N = Math.max(A.numCols,A.numRows);
output = new ZMatrixRMaj(N,N);
CommonOps_ZDRM.diag(output,N,A.data);
} else {
int N = Math.min(A.numCols,A.numRows);
output = new ZMatrixRMaj(N,1);
CommonOps_ZDRM.extractDiag(A,output);
}
return output;
}
@Override
public boolean hasUncountable(ZMatrixRMaj M) {
return MatrixFeatures_ZDRM.hasUncountable(M);
}
@Override
public void changeSign(ZMatrixRMaj a) {
// CommonOps_ZDRM.changeSign(a);
throw new UnsupportedOperation();
}
@Override
public /**/double elementMaxAbs(ZMatrixRMaj A) {
return CommonOps_ZDRM.elementMaxAbs(A);
}
@Override
public /**/double elementMinAbs(ZMatrixRMaj A) {
return CommonOps_ZDRM.elementMinAbs(A);
}
@Override
public /**/double elementSum(ZMatrixRMaj A) {
// return CommonOps_ZDRM.elementSum(A);
throw new UnsupportedOperation();
}
@Override
public void elementMult(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementMult(A,B,output);
throw new UnsupportedOperation();
}
@Override
public void elementDiv(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementDiv(A,B,output);
throw new UnsupportedOperation();
}
@Override
public void elementPower(ZMatrixRMaj A, ZMatrixRMaj B, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementPower(A,B,output);
throw new UnsupportedOperation();
}
@Override
public void elementPower(ZMatrixRMaj A, /**/double b, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementPower(A, (double)b, output);
throw new UnsupportedOperation();
}
@Override
public void elementExp(ZMatrixRMaj A, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementExp(A,output);
throw new UnsupportedOperation();
}
@Override
public void elementLog(ZMatrixRMaj A, ZMatrixRMaj output) {
// CommonOps_ZDRM.elementLog(A,output);
throw new UnsupportedOperation();
}
@Override
public boolean isIdentical(ZMatrixRMaj A, ZMatrixRMaj B, /**/double tol) {
return MatrixFeatures_ZDRM.isIdentical(A, B, (double)tol);
}
@Override
public void print(PrintStream out, Matrix mat, String format) {
MatrixIO.print(out, (ZMatrixRMaj)mat, format);
}
}