package org.matheclipse.core.reflection.system;
import org.apache.commons.math3.linear.EigenDecomposition;
import org.apache.commons.math3.linear.FieldMatrix;
import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.util.Precision;
import org.matheclipse.core.eval.exception.WrappedException;
import org.matheclipse.core.eval.interfaces.AbstractMatrix1Expr;
import org.matheclipse.core.expression.ExprFieldElement;
import org.matheclipse.core.expression.F;
import org.matheclipse.core.interfaces.IAST;
import org.matheclipse.core.interfaces.IExpr;
/**
* Compute the numerical Eigenvalues of a real symmetric matrix
*
* See: Wikipedia - Eigenvalue, eigenvector and eigenspace
*/
public class Eigenvalues extends AbstractMatrix1Expr {
public Eigenvalues() {
super();
}
@Override
public IExpr evaluate(final IAST ast) {
// switch to numeric calculation
return numericEval(ast);
}
public IAST realMatrixEval(RealMatrix matrix) {
try {
IAST list = F.List();
EigenDecomposition ed = new EigenDecomposition(matrix);
double[] realValues = ed.getRealEigenvalues();
double[] imagValues = ed.getImagEigenvalues();
for (int i = 0; i < realValues.length; i++) {
if (F.isZero(imagValues[i])) {
list.add(F.num(realValues[i]));
} else {
list.add(F.complexNum(realValues[i], imagValues[i]));
}
}
return list;
} catch (Exception ime) {
throw new WrappedException(ime);
}
}
@Override
public ExprFieldElement matrixEval(FieldMatrix matrix) {
return null;
}
}
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