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