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

import jsci.GlobalSettings;
import jsci.maths.Complex;
import jsci.maths.ComplexMapping;
import jsci.maths.DimensionException;
import jsci.maths.MathDouble;
import jsci.maths.MathInteger;
import jsci.maths.algebras.*;
import jsci.maths.fields.*;
import jsci.maths.groups.AbelianGroup;
import jsci.maths.vectors.AbstractComplexVector;
import jsci.maths.vectors.ComplexVector;

/**
* The AbstractComplexMatrix class provides an object for encapsulating matrices containing complex numbers.
* @version 2.2
* @author Mark Hale
*/
public abstract class AbstractComplexMatrix extends Matrix {
        /**
        * Constructs a matrix.
        */
        protected AbstractComplexMatrix(final int rows,final int cols) {
                super(rows,cols);
        }
        /**
        * Compares two complex matrices for equality.
        * @param obj a complex matrix
        */
        public final boolean equals(Object obj) {
                if(obj instanceof AbstractComplexMatrix) {
                        return equals((AbstractComplexMatrix)obj);
                } else {
                        return false;
                }
        }
        /**
        * Compares two complex 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 complex matrix
        */
        public final boolean equals(AbstractComplexMatrix m) {
		return equals(m, GlobalSettings.ZERO_TOL);
        }
	public boolean equals(AbstractComplexMatrix m, double tol) {
                if(m != null && numRows == m.rows() && numCols == m.columns()) {
			double sumSqr = 0.0;
                        for(int i=0;i-norm.
        * @author Taber Smith
        */
        public double infNorm() {
                double result=0.0,tmpResult;
                for(int i=0;iresult)
                                result=tmpResult;
                }
                return result;
        }
        /**
        * Returns the Frobenius or Hilbert-Schmidt (l2) norm.
        * @jsci.planetmath FrobeniusMatrixNorm
        * @author Taber Smith
        */
        public double frobeniusNorm() {
                double result=0.0;
                for(int i=0;i