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JSci is a set of open source Java packages. The aim is to encapsulate scientific methods/principles in the most natural way possible. As such they should greatly aid the development of scientific based software.
It offers: abstract math interfaces, linear algebra (support for various matrix and vector types), statistics (including probability distributions), wavelets, newtonian mechanics, chart/graph components (AWT and Swing), MathML DOM implementation, ...
Note: some packages, like javax.comm, for the astro and instruments package aren't listed as dependencies (not available).
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/* AUTO-GENERATED */
package JSci.maths.matrices;
import JSci.GlobalSettings;
import JSci.maths.ExtraMath;
import JSci.maths.Mapping;
import JSci.maths.DimensionException;
import JSci.maths.vectors.AbstractDoubleVector;
import JSci.maths.vectors.DoubleVector;
import JSci.maths.groups.AbelianGroup;
import JSci.maths.algebras.*;
import JSci.maths.fields.*;
/**
* The AbstractDoubleMatrix class provides an object for encapsulating double matrices.
* @version 2.2
* @author Mark Hale
*/
public abstract class AbstractDoubleMatrix extends Matrix {
/**
* Constructs a matrix.
*/
protected AbstractDoubleMatrix(final int rows,final int cols) {
super(rows, cols);
}
/**
* Compares two ${nativeTyp} matrices for equality.
* @param obj a double matrix
*/
public final boolean equals(Object obj) {
if(obj instanceof AbstractDoubleMatrix) {
return equals((AbstractDoubleMatrix)obj);
} else {
return false;
}
}
/**
* Compares two ${nativeTyp} matrices for equality.
* Two matrices are considered to be equal if the Frobenius norm of their difference is within the zero tolerance.
* @param m a double matrix
*/
public final boolean equals(AbstractDoubleMatrix m) {
return equals(m, GlobalSettings.ZERO_TOL);
}
public boolean equals(AbstractDoubleMatrix m, double tol) {
if(m != null && numRows == m.rows() && numCols == m.columns()) {
double sumSqr = 0;
for(int i=0;i
-norm.
* @author Taber Smith
*/
public double infNorm() {
double result=0,tmpResult;
for(int i=0;iresult)
result=tmpResult;
}
return result;
}
/**
* Returns the Frobenius or Hilbert-Schmidt (l2) norm.
* @jsci.planetmath FrobeniusMatrixNorm
*/
public double frobeniusNorm() {
double result=0.0;
for(int j,i=0;i