updated userguide after deprecation of internal LU decomposition in linear algebra

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/branches/MATH_2_0@700367 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2008-09-30 07:15:05 +00:00
parent bfea325efd
commit e95b705442
1 changed files with 4 additions and 3 deletions

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@ -68,7 +68,7 @@ System.out.println(p.getRowDimension()); // 2
System.out.println(p.getRowDimension()); // 2
// Invert p
RealMatrix pInverse = p.inverse();
RealMatrix pInverse = new LUDecompositionImpl(p).inverse();
</source>
</p>
</subsection>
@ -109,10 +109,11 @@ double[][] coefficientsData = {{2, 3, -2}, {-1, 7, 6}, {4, -3, -5}};
RealMatrix coefficients = new RealMatrixImpl(coefficientsData);
</source>
Next create a <code>double[]</code> array to represent the constant
vector and use <code>solve(double[])</code> to solve the system
vector and use <code>solve(double[])</code> from the default implementation
of <code>LUDecomposition</code> to solve the system
<source>
double[] constants = {1, -2, 1};
double[] solution = coefficients.solve(constants);
double[] solution = new LUDecompositionImpl(coefficients).solve(constants);
</source>
The <code>solution</code> array will contain values for x
(<code>solution[0]</code>), y (<code>solution[1]</code>),