package com.imsl.test.example.math; import com.imsl.math.*; import java.util.logging.*; /** *

* Solves a small linear system with logging.

* * A solution to a small linear system is found. The coefficient matrix is * stored as a full matrix and no preconditioning is used. Typically, * preconditioning is required to achieve convergence in a reasonable number of * iterations. Logging is enabled so that intermediate output and a summary * report are generated. * * @see Code * @see Output */ public class GenMinResEx7 implements GenMinRes.Function { static private double a[][] = { {33.0, 16.0, 72.0}, {-24.0, -10.0, -57.0}, {18.0, -11.0, 7.0} }; static private double b[] = {129.0, -96.0, 8.5}; /** * Obtains the multiplication of the matrix a and the input * p. The result is returned in z. * * @param p a double array with * p.length=a[0].length * @param z a double array */ @Override public void amultp(double p[], double z[]) { double[] result; result = Matrix.multiply(a, p); System.arraycopy(result, 0, z, 0, z.length); } public static void main(String args[]) throws Exception { int n = 3; GenMinResEx7 atp = new GenMinResEx7(); // Construct a GenMinRes object GenMinRes gnmnrs = new GenMinRes(n, atp); Logger logger = gnmnrs.getLogger(); Handler h = new java.util.logging.FileHandler("GenMinReslog.txt"); logger.addHandler(h); logger.setLevel(Level.FINER); h.setFormatter(new com.imsl.IMSLFormatter()); // Solve Ax = b new PrintMatrix("x").print(gnmnrs.solve(b)); } }