/* AUTO-GENERATED */
package jsci.maths.matrices;

import jsci.GlobalSettings;
import jsci.maths.DimensionException;
import jsci.maths.ExtraMath;
import jsci.maths.Mapping;
import jsci.maths.algebras.*;
import jsci.maths.fields.*;
import jsci.maths.groups.AbelianGroup;
import jsci.maths.vectors.AbstractDoubleVector;
import jsci.maths.vectors.DoubleVector;

/**
* 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;iinfinity-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 

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