diff -r 000000000000 -r 0efde00f9229 python/polyfuncs.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/python/polyfuncs.py Fri May 27 14:24:59 2011 +0530 @@ -0,0 +1,164 @@ +#!/usr/bin/python +# Contains all the polynomial functions + +import pylab as pl + +def polsize(Q, degQ): + """ Determines dimensions of a polynomial matrix. """ + rQ, cQ = pl.atleast_2d(Q).shape + cQ = cQ/float(degQ+1) + if abs(round(cQ)-cQ) > 1e-6: + print "Degree of input inconsistent with number of columns" + return + else: + cQ = int(round(cQ)) + return rQ, cQ + +def polmul(A, degA, B, degB): + A = pl.atleast_2d(A) + B = pl.atleast_2d(B) + rA, cA = polsize(A, degA) + rB, cB = polsize(B, degB) + if cA != rB: + print "polmul: Inconsistent dimensions of input matrices" + return + degC = degA + degB + C = [] + for k in range(0, degC+1): + mi = 0 + if k-degB > mi: + mi = k-degB + ma = degA + if k < ma: + ma = k + Ck = pl.zeros((rA,cB)) + for i in range(mi, ma+1): + Ck = Ck + pl.dot(A[..., i*cA:(i+1)*cA], B[..., (k-i)*cB:(k-i+1)*cB]) + Ck = pl.squeeze(Ck) + C = pl.hstack((C, Ck)) + return C, degC + +def poladd(A, degA, B, degB): + A = pl.atleast_2d(A) + B = pl.atleast_2d(B) + rA, cA = polsize(A, degA) + rB, cB = polsize(B, degB) + if cA != rB: + print "polmul: Inconsistent dimensions of input matrices" + return + degC = max(degA, degB) + + if degC >= degA: + A = pl.hstack((A, pl.zeros((rA,(degC-degA)*cA)))) + + if degC >= degB: + B = pl.hstack((B, pl.zeros((rB,(degC-degB)*cB)))) + + C = A + B + return C, degC + +def polsplit2(fac, a=1-1e-5): + fac = pl.atleast_1d(fac) + if a>1: + print "good polynomial also is unstable" + return + roots = pl.roots(fac) + + # extract good and bad roots + badindex = pl.find(pl.absolute(roots)>=a-1.0e-5) + badpoly = pl.poly(roots[badindex]) + goodindex = pl.find(pl.absolute(roots)1: + print "good polynomial also is unstable" + return + roots = pl.roots(fac) + + # extract good and bad roots + badindex = pl.find((pl.absolute(roots)>=a-1.0e-5) + (pl.real(roots)<-0.05)) + badpoly = pl.poly(roots[badindex]) + goodindex = pl.find((pl.absolute(roots)=-0.05)) + goodpoly = pl.poly(roots[goodindex]) + # scale by equating the largest terms + index = pl.absolute(fac).argmax() + goodbad = pl.convolve(goodpoly, badpoly) + factor = fac[index]/goodbad[index] + goodpoly = goodpoly * factor + badpoly = pl.atleast_1d(badpoly) + goodpoly = pl.atleast_1d(goodpoly) + return goodpoly, badpoly + +def putin(A, degA, B, degB, i, j): + from clcoef import clcoef + A = pl.atleast_2d(A) + B = pl.atleast_2d(B) + rA, cA = polsize(A,degA) + if degB > degA: + A = pl.hstack((A, pl.zeros((rA,(degB-degA)*cA)))) + degA = degB + + for k in range(degB+1): + A[i,(k*cA)+j] = B[0,k] + + if degA > degB: + for k in range(degB+1,degA+1): + A[i,(k*cA)+j] = 0 + A, degA = clcoef(A,degA) + return A, degA + + +def ext(A, degA, k, l): + from clcoef import clcoef + rA, cA = polsize(A, degA) + degB = degA + B = pl.zeros((1, degB+1)) + for m in range(degB+1): + B[0, m] = A[k, (m*cA)+l] + B,degB = clcoef(B, degB) + return B, degB + + +def transp(Q, degQ): + """ Function to transpose a polynomial matrix. """ + rQ, cQ = polsize(Q, degQ) + rP = cQ + cP = rQ + degP = degQ + P = pl.zeros((rP, (degP+1)*cP)) + for i in range(degP+1): + P[:, i*cP:(i+1)*cP] = Q[:, i*cQ:(i+1)*cQ].T + + return P, degP + + +if __name__== "__main__": + + # print "Test for polsize" + # print polsize([1, 2, 1],4) + + # print "Test for polmul" + # C = pl.array([[1, 0, 0.5, 2], [0, 1, -4.71, 2.8]]) + # A = pl.array([0.5, 3.5]) + # print polmul(A, 0, C, 1) + + # print "Test for polsplit3" + # print polsplit3([1, -0.37]) + + print "Test for putin" + A = pl.array([0,0]) + B = pl.array([0.44, -1.6, 1.6, -0.44]) + print putin(A, 0, B, 3, 0, 0) + + + pass