made a get_error function that is generic and functional. I'm still getting unsavory numbers for the cubic, 2-D case on my single test case. I will have to try out more refined grids, albeit the quadratic is consistently improving results for my case.
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@ -1,4 +1,4 @@
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#!/usr/bin/python
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#!/usr/bin/env python
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import sys
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from optparse import OptionParser
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@ -37,7 +37,7 @@ if __name__ == '__main__':
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sys.exit(1)
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print "total points", total_points
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smblog.debug("total points: %d" % total_points)
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@ -67,3 +67,4 @@ if __name__ == '__main__':
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good.append(d[True])
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draw_gb(bad = bad, good = good)
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@ -1,6 +1,5 @@
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#!/usr/bin/env python
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import math
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from baker import run_baker
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from baker.tools import improved_answer
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@ -9,10 +8,12 @@ from baker.tools import smblog
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from grid.DD import grid
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from grid.simplex import contains
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import numpy as np
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def exact_func(X):
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x = X[0]
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y = X[0]
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return 1 - math.sin((x-0.5)**2 + (y-0.5)**2)
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return 1 - np.sin(np.power((x-0.5), 2) + np.power((y-0.5), 2))
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if __name__ == '__main__':
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points = [
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@ -33,8 +34,6 @@ if __name__ == '__main__':
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g.construct_connectivity()
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R = g.create_mesh(range(3))
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print contains(X, R.points)
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try:
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extra = int(sys.argv[1])
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except:
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@ -88,7 +88,7 @@ def qlinear(X, R):
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"""
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phis = get_phis(X, R.points)
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qlin = sum([q_i * phi_i for q_i, phi_i in zip(R.q, phis)])
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qlin = np.sum([q_i * phi_i for q_i, phi_i in zip(R.q, phis)])
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return phis, qlin
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def qlinear_3D(X, R):
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@ -185,6 +185,54 @@ def get_error_cubic(phi, R, S):
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return error_term
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def get_error_sauron(phi, R, S, order = 2):
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smblog.debug("len(phi): %d"% len(phi))
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B = [] # baker eq 9
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w = [] # baker eq 11
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p = pattern(order, len(phi), offset = -1)
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smblog.debug("pattern: %s" % p)
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for (s,q) in zip(S.points, S.q):
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cur_phi, cur_qlin = qlinear(s, R)
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l = []
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for i in p:
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cur_sum = cur_phi[i[0]]
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for j in i[1:]:
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cur_sum *= cur_phi[j]
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l.append(cur_sum)
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B.append(l)
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w.append(q - cur_qlin)
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smblog.debug("B: %s" % B)
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smblog.debug("w: %s" % w)
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B = np.array(B)
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w = np.array(w)
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A = np.dot(B.T, B)
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b = np.dot(B.T, w)
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# baker solve eq 10
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try:
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abc = np.linalg.solve(A,b)
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except np.linalg.LinAlgError as e:
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smblog.error("linear calculation went bad, resorting to np.linalg.pinv: %s" % e)
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abc = np.dot(np.linalg.pinv(A), b)
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smblog.debug(len(abc) == len(p))
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error_term = 0.0
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for (a, i) in zip(abc, p):
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cur_sum = a
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for j in i:
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cur_sum *= phi[j]
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error_term += cur_sum
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smblog.debug("error_term smb: %s" % error_term)
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return error_term, abc
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def run_baker(X, R, S, order=2):
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"""
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@ -196,6 +244,7 @@ def run_baker(X, R, S, order=2):
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R = Simplex
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S = extra points
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"""
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smblog.debug("order = %d" % order)
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answer = {
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'qlin': None,
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@ -208,12 +257,10 @@ def run_baker(X, R, S, order=2):
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if order == 1:
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answer['qlin'] = qlin
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return answer
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elif order == 2:
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error_term = get_error_quadratic(phi, R, S)
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elif order == 3:
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error_term = get_error_cubic(phi, R, S)
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elif order in (2,3):
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error_term, abc = get_error_sauron(phi, R, S, order)
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else:
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raise smberror('unacceptable order for baker method')
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raise smberror('unsupported order for baker method')
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q_final = qlin + error_term
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