From 309c5d8f7ff8c36235222d079955cd3783bb7ad0 Mon Sep 17 00:00:00 2001 From: wukong Date: Mon, 18 Dec 2023 12:37:31 -0800 Subject: Added a partially working function performing LU decomposition on a square matrix, ludcmp.awk. This is providing correct answers on _some_ test data, further testing debugging required here. --- ludcmp.awk | 105 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 105 insertions(+) create mode 100644 ludcmp.awk (limited to 'ludcmp.awk') diff --git a/ludcmp.awk b/ludcmp.awk new file mode 100644 index 0000000..6c7807a --- /dev/null +++ b/ludcmp.awk @@ -0,0 +1,105 @@ +#!/usr/bin/awk -f + +### ludcmp.awk +# LU decomposition on square matrix, based on example code from, +# https://en.wikipedia.org/wiki/LU_decomposition +# INPUT: +# A (N-by-N matrix) +# right_part (N-element vector) +# OUTPUT: +# x (N-element vector) +# note, matrix indexing begins with 1 and uses i=row, j=col +# lu = L + U - I + +# decomposition of A +function lu_decomp(A, n) { + + for (i=1; i<=n; i++) { + + for (j=i; j<=n; j++) { + sum = 0.0 + for (k=1; k<=i; k++) + sum += lu[i,k] * lu[k,j] + lu[i,j] = A[i,j] - sum + } + + for (j=i+1; j<=n; j++) { + sum = 0.0 + for (k=1; k<=i; k++) + sum += lu[j,k] * lu[k,i] + + # check for div by zero + if (lu[i,i] != 0.0) + lu[j,i] = (A[j,i] - sum) / lu[i,i] + else + lu[j,i] = "nan" + } + + # debug + for (j=1; j<=n; j++) { + printf(lu[i,j]) + printf( j==n ? ORS : OFS ) + } + } +} + +# regex to identify strings that look like numbers +BEGIN { + OFS = FS + sign = "[+-]?" + decimal = "[0-9]+[.]?[0-9]*" + fraction = "[.][0-9]*" + exponent = "([Ee]" sign "[0-9]+)?" + number = "^" sign "(" decimal "|" fraction ")" exponent "$" +} + +# column headers +NR == 1 { + for (n=1; n<=NF; n++) + ($n ~ number) ? head[n] = "col" n : head[n] = $n +} + +# read input data +NF { + + if (NF > max_nf) + (NF > nf_max) ? nf_max = NF : nf_max = nf_max + + for (n=1; n<=NF; n++) { + if ($n ~ number) { + count[n] += 1 + (count[n] == 1 || max_nf > size) ? size = max_nf : size = size + (count[n] == 1 || count[n] > size) ? size = count[n] : size = size + matrix[count[n],n] = $n + print(matrix[count[n],n]) + } + } + +} + +END { + printf(ORS) + print(NR, max_nf, size) + printf(ORS) + lu_decomp(matrix, size) + +} + +## find solution of Ly = b, for y +#for (i=0; i=0; i--) { +# sum = 0; +# for (k=i+1; k