Console.WriteLine(" mpx %d,%d with %d,%d %d %d %d\n", AA.Length, AA.Length, BB.Length, BB.Length, i, k, j) Debug.Assert(AA.GetLength(1) = BB.GetLength(0)) Console.WriteLine(" mpx %d,%d with %d,%d\n", AA.Length, AA.Length, BB.Length, BB.Length) Public static double mpx(double Ans, double AA, double BB) // Matrix multiply oblong arrays. Public static double mpx(double Ans, double AA, double BB) // Matrix multiply oblong array by column array.įor (int j=0 j Matrix support functions now follow (there is similar code in java.utils). Public double SolveVerbose(double LL, double UU, double rhs)Ĭonsole.Write("After fwds subst=") MatrixLib.printa(yy) Ĭonsole.Write("After back subst=") MatrixLib.printa(xx) Ĭlass MatrixLib // It would be more OO to apply these methods to matrix instances. Console.WriteLine("Pivot %d %f", k1, p) ĭouble t = Adata Adata = Adata Adata = t įor (int j=i+1 j < problemSize j++) sum += UU * xx Public void LUdecompose(double LL, double Adata, bool pivot_enable)įor (int k=0 k p) // Pivoting : find largest Efficient Floating-point based Block LU Decomposition on FPGAs Vikash Daga An explictly parallel implementation is in another demo. Parallel speedup is gained here through automatic unwind of the inner loops. Simultaneous Equations Solving using L/U decomposition. (C) 2014 DJ Greaves, University of Cambridge, Computer Laboratory. Kiwi Scientific Acceleration Example - Lower/Upper Decomposition and Equation Solving. Introduction Source Code - Single Threaded, Non-blocking Version Here is the single-threaded implementation. When there are multiple right-hand sides to solve, the lower/upper decomposition approach is preferred. Guassian elimination solves simultaneous equations. Kiwi Scientific Acceleration: L/U Decomposition for Simultaneous Equations L/U Decomposition for Simultaneous Equations#Printme usc code
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