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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2017, 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;
import org.ejml.data.Matrix;
import java.io.PrintStream;
/**
* High level interface for operations inside of SimpleMatrix for one matrix type.
*
* @author Peter Abeles
*/
public interface SimpleOperations {
void transpose( T input , T output );
void mult( T A , T B, T output );
void kron( T A , T B , T output );
void plus( T A , T B , T output);
void minus( T A , T B , T output );
void minus( T A , double b , T output );
void plus( T A , double b , T output);
void plus( T A , double beta , T b, T output );
double dot(T A , T v );
void scale( T A , double val , T output );
void divide( T A , double val , T output );
boolean invert( T A , T output );
void pseudoInverse( T A , T output );
boolean solve( T A , T X , T B);
void set( T A , double val );
void zero( T A );
double normF( T A );
double conditionP2( T A );
double determinant( T A );
double trace( T A );
void setRow( T A , int row , int startColumn , double ...values );
void setColumn( T A , int column , int startRow , double ...values );
void extract( T src,
int srcY0, int srcY1,
int srcX0, int srcX1,
T dst ,
int dstY0, int dstX0 );
boolean hasUncountable(T M);
void changeSign( T a );
double elementMaxAbs(T A);
double elementSum(T A);
void elementMult( T A , T B , T output );
void elementDiv( T A , T B , T output );
void elementPower( T A , T B , T output );
void elementPower( T A , double b, T output );
void elementExp( T A , T output );
void elementLog( T A , T output );
void print(PrintStream out , Matrix mat );
}