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added a specialized implementation of premultiply 

removed unneeded signatures with RelVectorImpl already handled efficiently by base class

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@729173 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2008-12-23 23:27:52 +00:00
parent 13583c53fa
commit ef8ee92f48
1 changed files with 27 additions and 18 deletions
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45
src/java/org/apache/commons/math/linear/RealMatrixImpl.java
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@ -414,7 +414,11 @@ public class RealMatrixImpl extends AbstractRealMatrix implements Serializable {
final int nRows = this.getRowDimension();
final int nCols = this.getColumnDimension();
if (v.length != nCols) {
throw new IllegalArgumentException("vector has wrong length");
throw MathRuntimeException.createIllegalArgumentException("vector length mismatch:" +
" got {0} but expected {1}",
new Object[] {
v.length, nCols
});
}
final double[] out = new double[nRows];
for (int row = 0; row < nRows; row++) {
@ -429,25 +433,30 @@ public class RealMatrixImpl extends AbstractRealMatrix implements Serializable {
}
/** {@inheritDoc} */
public RealVector operate(final RealVector v)
public double[] preMultiply(final double[] v)
throws IllegalArgumentException {
try {
return operate((RealVectorImpl) v);
} catch (ClassCastException cce) {
return super.operate(v);
}
}
/**
* Returns the result of multiplying this by the vector <code>v</code>.
*
* @param v the vector to operate on
* @return this*v
* @throws IllegalArgumentException if columnDimension != v.size()
*/
public RealVectorImpl operate(final RealVectorImpl v)
throws IllegalArgumentException {
return new RealVectorImpl(operate(v.getDataRef()), false);
final int nRows = getRowDimension();
final int nCols = getColumnDimension();
if (v.length != nRows) {
throw MathRuntimeException.createIllegalArgumentException("vector length mismatch:" +
" got {0} but expected {1}",
new Object[] {
v.length, nRows
});
}
final double[] out = new double[nCols];
for (int col = 0; col < nCols; ++col) {
double sum = 0;
for (int i = 0; i < nRows; ++i) {
sum += data[i][col] * v[i];
}
out[col] = sum;
}
return out;
}
/**