MATH-438
Removed deprecated methods. git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1034190 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Gilles Sadowski
parent
07f1663320
commit
a151bff2f5
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@ -35,20 +35,10 @@ import org.apache.commons.math.util.FastMath;
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* @since 2.0
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*/
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public abstract class AbstractRealMatrix implements RealMatrix {
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/** Cached LU solver.
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* @deprecated as of release 2.0, since all methods using this are deprecated
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*/
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@Deprecated
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private DecompositionSolver lu;
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/**
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* Creates a matrix with no data
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*/
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protected AbstractRealMatrix() {
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lu = null;
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}
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protected AbstractRealMatrix() {}
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/**
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* Create a new RealMatrix with the supplied row and column dimensions.
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@ -64,7 +54,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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if (columnDimension < 1) {
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throw new NotStrictlyPositiveException(columnDimension);
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}
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lu = null;
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}
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/** {@inheritDoc} */
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@ -367,8 +356,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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setEntry(row + i, column + j, subMatrix[i][j]);
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}
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}
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lu = null;
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}
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/** {@inheritDoc} */
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@ -539,37 +526,11 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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return out;
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}
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/** {@inheritDoc} */
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@Deprecated
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public RealMatrix inverse()
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throws InvalidMatrixException {
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if (lu == null) {
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lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
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}
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return lu.getInverse();
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}
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/** {@inheritDoc} */
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@Deprecated
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public double getDeterminant()
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throws InvalidMatrixException {
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return new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getDeterminant();
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}
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/** {@inheritDoc} */
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public boolean isSquare() {
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return getColumnDimension() == getRowDimension();
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}
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/** {@inheritDoc} */
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@Deprecated
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public boolean isSingular() {
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if (lu == null) {
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lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
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}
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return !lu.isNonSingular();
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}
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/** {@inheritDoc} */
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public abstract int getRowDimension();
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@ -698,7 +659,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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setEntry(row, column, newValue);
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}
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}
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lu = null;
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return visitor.end();
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}
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@ -731,7 +691,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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setEntry(row, column, newValue);
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}
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}
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lu = null;
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return visitor.end();
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}
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@ -764,7 +723,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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setEntry(row, column, newValue);
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}
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}
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lu = null;
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return visitor.end();
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}
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@ -797,7 +755,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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setEntry(row, column, newValue);
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}
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}
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lu = null;
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return visitor.end();
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}
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@ -845,53 +802,6 @@ public abstract class AbstractRealMatrix implements RealMatrix {
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return walkInRowOrder(visitor, startRow, endRow, startColumn, endColumn);
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}
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/** {@inheritDoc} */
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@Deprecated
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public double[] solve(final double[] b)
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throws IllegalArgumentException, InvalidMatrixException {
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if (lu == null) {
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lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
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}
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return lu.solve(b);
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}
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/** {@inheritDoc} */
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@Deprecated
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public RealMatrix solve(final RealMatrix b)
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throws IllegalArgumentException, InvalidMatrixException {
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if (lu == null) {
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lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
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}
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return lu.solve(b);
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}
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/**
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* Computes a new
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* <a href="http://www.math.gatech.edu/~bourbaki/math2601/Web-notes/2num.pdf">
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* LU decomposition</a> for this matrix, storing the result for use by other methods.
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* <p>
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* <strong>Implementation Note</strong>:<br>
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* Uses <a href="http://www.damtp.cam.ac.uk/user/fdl/people/sd/lectures/nummeth98/linear.htm">
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* Crout's algorithm</a>, with partial pivoting.</p>
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* <p>
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* <strong>Usage Note</strong>:<br>
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* This method should rarely be invoked directly. Its only use is
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* to force recomputation of the LU decomposition when changes have been
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* made to the underlying data using direct array references. Changes
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* made using setXxx methods will trigger recomputation when needed
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* automatically.</p>
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*
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* @throws InvalidMatrixException if the matrix is non-square or singular.
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* @deprecated as of release 2.0, replaced by {@link LUDecomposition}
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*/
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@Deprecated
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public void luDecompose()
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throws InvalidMatrixException {
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if (lu == null) {
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lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
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}
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}
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/**
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* Get a string representation for this matrix.
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* @return a string representation for this matrix
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@ -424,44 +424,6 @@ public interface RealMatrix extends AnyMatrix {
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*/
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RealMatrix transpose();
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/**
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* Returns the inverse of this matrix.
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*
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* @return inverse matrix
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* @throws InvalidMatrixException if this is not invertible
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* @deprecated as of release 2.0, replaced by <code>
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* {@link LUDecompositionImpl#LUDecompositionImpl(RealMatrix)
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* new LUDecompositionImpl(m)}.{@link LUDecomposition#getSolver()
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* getSolver()}.{@link DecompositionSolver#getInverse()
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* getInverse()}</code>
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*/
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@Deprecated
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RealMatrix inverse();
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/**
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* Returns the determinant of this matrix.
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*
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* @return determinant
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* @deprecated as of release 2.0, replaced by <code>
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* {@link LUDecompositionImpl#LUDecompositionImpl(RealMatrix)
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* new LUDecompositionImpl(m)}.{@link LUDecomposition#getDeterminant()
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* getDeterminant()}</code>
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*/
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@Deprecated
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double getDeterminant();
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/**
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* Is this a singular matrix?
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* @return true if the matrix is singular
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* @deprecated as of release 2.0, replaced by the boolean negation of
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* <code>{@link LUDecompositionImpl#LUDecompositionImpl(RealMatrix)
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* new LUDecompositionImpl(m)}.{@link LUDecomposition#getSolver()
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* getSolver()}.{@link DecompositionSolver#isNonSingular()
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* isNonSingular()}</code>
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*/
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@Deprecated
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boolean isSingular();
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/**
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* Returns the <a href="http://mathworld.wolfram.com/MatrixTrace.html">
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* trace</a> of the matrix (the sum of the elements on the main diagonal).
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@ -821,32 +783,4 @@ public interface RealMatrix extends AnyMatrix {
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*/
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double walkInOptimizedOrder(RealMatrixPreservingVisitor visitor,
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int startRow, int endRow, int startColumn, int endColumn);
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/**
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* Returns the solution vector for a linear system with coefficient
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* matrix = this and constant vector = <code>b</code>.
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*
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* @param b constant vector
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* @return vector of solution values to AX = b, where A is *this
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* @throws IllegalArgumentException if this.rowDimension != b.length
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* @throws InvalidMatrixException if this matrix is not square or is singular
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* @deprecated as of release 2.0, replaced by {@link DecompositionSolver#solve(double[])}
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*/
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@Deprecated
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double[] solve(double[] b);
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/**
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* Returns a matrix of (column) solution vectors for linear systems with
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* coefficient matrix = this and constant vectors = columns of
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* <code>b</code>.
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*
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* @param b matrix of constant vectors forming RHS of linear systems to
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* to solve
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* @return matrix of solution vectors
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* @throws IllegalArgumentException if this.rowDimension != row dimension
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* @throws InvalidMatrixException if this matrix is not square or is singular
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* @deprecated as of release 2.0, replaced by {@link DecompositionSolver#solve(RealMatrix)}
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*/
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@Deprecated
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RealMatrix solve(RealMatrix b);
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}
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