def solve_rdft_improved(a,b,x): (size,_) = a.shape f = rdft.generate_f(size) r = rdft.generate_random_r(size) fr = f.dot(r) ra = r.dot(a) (x1, l, u, fra, frb, _) = rdft.rdft_lu_solver_with_lu(a,b,r) x2 = np.array(x1) x2 = iteration.iteration_another(a, l, u, fr, b, x2, linalg.cond(fra)) x2 = iteration.remove_imag(x2) return (x2, fra, fr, ra, x1)
def solve_rdft_improved(a, b, x):
(size, _) = a.shape
f = rdft.generate_f(size)
r = rdft.generate_random_r(size)
fr = f.dot(r)
ra = r.dot(a)
(x1, l, u, fra, frb, _) = rdft.rdft_lu_solver_with_lu(a, b, r)
x2 = np.array(x1)
x2 = iteration.iteration_another(a, l, u, fr, b, x2, linalg.cond(fra))
x2 = iteration.remove_imag(x2)
return (x2, fra, fr, ra, x1)
def solve_rdft_givens(a, b, x):
(size, _) = a.shape
f = rdft.generate_f(size)
r = rdft.generate_r(size) ## === care === ##
g = givens.givens_generation(size)
fr = f.dot(r)
frg = fr.dot(g)
rg = r.dot(g)
(x1, l, u, fra, frb, _) = rdft.rdft_lu_solver_with_lu(a, b, rg)
x2 = np.array(x1)
x2 = iteration.iteration_another(a, l, u, frg, b, x2, linalg.cond(fra))
x2 = iteration.remove_imag(x2)
return (x2, x1)
def solve_rdft_givens(a,b,x): (size,_) = a.shape f = rdft.generate_f(size) r = rdft.generate_r(size) ## === care === ## g = givens.givens_generation(size) fr = f.dot(r) frg = fr.dot(g) rg = r.dot(g) (x1, l, u, fra, frb, _) = rdft.rdft_lu_solver_with_lu(a,b,rg) x2 = np.array(x1) x2 = iteration.iteration_another(a, l, u, frg, b, x2, linalg.cond(fra)) x2 = iteration.remove_imag(x2) return (x2, x1)
def const_r():
for i in range(0, 50):
size = 200
mat = np.zeros((size, size))
r = rdft.generate_r(size) # use constant r
for j in range(0, size):
for k in range(0, size):
mat[j, k] = random.uniform(-100, 100)
f = rdft.generate_f(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond, _, _) = rdft.get_leading_maxcond(mat)
(fra_maxcond, _, _) = rdft.get_leading_maxcond(fra)
a_cond = linalg.cond(mat)
fra_cond = linalg.cond(fra)
print("A: ", a_maxcond / a_cond)
print("FRA:", fra_maxcond / fra_cond)
def const_r():
for i in range(0, 50):
size = 200
mat = np.zeros((size,size))
r = rdft.generate_r(size) # use constant r
for j in range(0,size):
for k in range(0,size):
mat[j,k] = random.uniform(-100,100)
f = rdft.generate_f(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond,_,_) = rdft.get_leading_maxcond(mat)
(fra_maxcond,_,_) = rdft.get_leading_maxcond(fra)
a_cond = linalg.cond(mat)
fra_cond = linalg.cond(fra)
print("A: ", a_maxcond/a_cond)
print("FRA:", fra_maxcond/fra_cond)
def const_a(sample, size, rand_range):
result = []
mat = np.zeros((size,size))
for j in range(0,size):
for k in range(0,size):
mat[j,k] = random.uniform(-rand_range,rand_range)
for i in range(0, sample):
f = rdft.generate_f(size)
r = rdft.generate_r(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond,_,a_subcond) = rdft.get_leading_maxcond(mat)
(fra_maxcond,_,fra_subcond) = rdft.get_leading_maxcond(fra)
a_cond = linalg.cond(mat)
fra_cond = linalg.cond(fra)
result.append([mat, a_maxcond/a_cond, fra_maxcond/fra_cond, fra, a_subcond, fra_subcond])
#print("A: ", a_maxcond/a_cond)
#print("FRA:", fra_maxcond/fra_cond)
return result
def solve_rdft_givens_both(a,b,x): (size,_) = a.shape f = rdft.generate_f(size) r = rdft.generate_r(size) g1 = givens.givens_generation(size) g2 = givens.givens_generation(size) fr = f.dot(r) frg = fr.dot(g1) frgb = frg.dot(b) ag = a.dot(g2) frgag = frg.dot(ag) (l,u) = lu.lu(frgag) y = lu.l_step(l,frgb) z = lu.u_step(u,y) x1 = g2.dot(z) x2 = np.array(x1) x2 = iteration.iteration_another(a, l, u, frg, b, x2, linalg.cond(frgag), g2) x2 = iteration.remove_imag(x2) return (x2, x1)
def solve_rdft_givens_both(a, b, x):
(size, _) = a.shape
f = rdft.generate_f(size)
r = rdft.generate_r(size)
g1 = givens.givens_generation(size)
g2 = givens.givens_generation(size)
fr = f.dot(r)
frg = fr.dot(g1)
frgb = frg.dot(b)
ag = a.dot(g2)
frgag = frg.dot(ag)
(l, u) = lu.lu(frgag)
y = lu.l_step(l, frgb)
z = lu.u_step(u, y)
x1 = g2.dot(z)
x2 = np.array(x1)
x2 = iteration.iteration_another(a, l, u, frg, b, x2, linalg.cond(frgag),
g2)
x2 = iteration.remove_imag(x2)
return (x2, x1)
def const_a(sample, size, rand_range):
result = []
mat = np.zeros((size, size))
for j in range(0, size):
for k in range(0, size):
mat[j, k] = random.uniform(-rand_range, rand_range)
for i in range(0, sample):
f = rdft.generate_f(size)
r = rdft.generate_r(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond, _, a_subcond) = rdft.get_leading_maxcond(mat)
(fra_maxcond, _, fra_subcond) = rdft.get_leading_maxcond(fra)
a_cond = linalg.cond(mat)
fra_cond = linalg.cond(fra)
result.append([
mat, a_maxcond / a_cond, fra_maxcond / fra_cond, fra, a_subcond,
fra_subcond
])
#print("A: ", a_maxcond/a_cond)
#print("FRA:", fra_maxcond/fra_cond)
return result
def const_a_test(test_num, sample, size, rand_range, way=-1, way_option=[]):
counter = 0
sample_counter = 0
for i in range(0, test_num):
[cd, fs, mat, mca, mcfra, fras, a_subcond,
fra_subconds] = const_a_detection(sample, size, rand_range)
a = np.array(mat)
if way == 0:
mat = mat.T
elif way == 1:
for (k, j) in way_option:
mat = pp.swap(mat, k, j)
if cd > sample * (2 / 3):
np.savetxt("./test_result/test_result" + str(counter) + "_a.txt",
a)
os.mkdir("./test_result/fra_" + str(counter))
for i in range(0, len(fras)):
np.savetxt(
"./test_result/fra_" + str(counter) + "/" + str(i) +
".txt", fras[i])
output = open(
"./test_result/test_result" + str(counter) + "_a_subcond.txt",
'w')
output.write(str(a_subcond))
output.close()
output = open(
"./test_result/test_result" + str(counter) +
"_fra_subcond.txt", 'w')
output.write(str(fra_subconds))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_mca.txt", 'w')
output.write(str(mca))
output = open(
"./test_result/test_result" + str(counter) + "_mcfra.txt", 'w')
output.write(str(mcfra))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_det.txt", 'w')
output.write(str(np.linalg.det(a)))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_cd.txt", 'w')
output.write(str(cd))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_cdnum.txt", 'w')
output.write(str(linalg.cond(a)))
output.close()
sample_counter = 0
a_subcond, fra_subconds = [], []
while sample_counter < 100:
f = rdft.generate_f(size)
r = rdft.generate_r(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond, _, a_subcond) = rdft.get_leading_maxcond(mat)
(fra_maxcond, _, fra_subcond) = rdft.get_leading_maxcond(fra)
fra_subconds.append(fra_subcond)
sample_counter = sample_counter + 1
np.savetxt(
"./test_result/test_result" + str(counter) + "_z_mod_a.txt",
mat)
os.mkdir("./test_result/fra_" + str(counter) + "_" +
str(sample_counter))
for i in range(0, len(fras)):
np.savetxt(
"./test_result/fra_" + str(counter) + "_" +
str(sample_counter) + "/" + str(i) + ".txt", fras[i])
output = open(
"./test_result/test_result" + str(counter) +
"_z_a_subcond.txt", 'w')
output.write(str(a_subcond))
output.close()
output = open(
"./test_result/test_result" + str(counter) +
"_z_fra_subcond.txt", 'w')
output.write(str(fra_subconds))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_z_mca.txt", 'w')
output.write(str(mca))
output = open(
"./test_result/test_result" + str(counter) + "_z_mcfra.txt",
'w')
output.write(str(mcfra))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_z_det.txt", 'w')
output.write(str(np.linalg.det(mat)))
output.close()
output = open(
"./test_result/test_result" + str(counter) + "_z_cdnum.txt",
'w')
output.write(str(linalg.cond(mat)))
output.close()
counter = counter + 1
print(str(counter) + "detected")
def const_a_test(test_num, sample, size, rand_range, way=-1, way_option=[]):
counter = 0
sample_counter = 0
for i in range(0, test_num):
[cd, fs, mat, mca, mcfra, fras, a_subcond, fra_subconds] = const_a_detection(sample, size, rand_range)
a = np.array(mat)
if way == 0:
mat = mat.T
elif way == 1:
for (k,j) in way_option:
mat = pp.swap(mat,k,j)
if cd > sample*(2/3):
np.savetxt("./test_result/test_result" + str(counter) + "_a.txt",a)
os.mkdir("./test_result/fra_" + str(counter))
for i in range(0,len(fras)):
np.savetxt("./test_result/fra_" + str(counter) + "/" + str(i) + ".txt", fras[i])
output = open("./test_result/test_result" + str(counter) + "_a_subcond.txt",'w')
output.write(str(a_subcond))
output.close()
output = open("./test_result/test_result" + str(counter) + "_fra_subcond.txt",'w')
output.write(str(fra_subconds))
output.close()
output = open("./test_result/test_result" + str(counter) + "_mca.txt",'w')
output.write(str(mca))
output = open("./test_result/test_result" + str(counter) + "_mcfra.txt",'w')
output.write(str(mcfra))
output.close()
output = open("./test_result/test_result" + str(counter) + "_det.txt",'w')
output.write(str(np.linalg.det(a)))
output.close()
output = open("./test_result/test_result" + str(counter) + "_cd.txt",'w')
output.write(str(cd))
output.close()
output = open("./test_result/test_result" + str(counter) + "_cdnum.txt",'w')
output.write(str(linalg.cond(a)))
output.close()
sample_counter = 0
a_subcond, fra_subconds = [], []
while sample_counter < 100:
f = rdft.generate_f(size)
r = rdft.generate_r(size)
fr = f.dot(r)
fra = fr.dot(mat)
(a_maxcond,_,a_subcond) = rdft.get_leading_maxcond(mat)
(fra_maxcond,_,fra_subcond) = rdft.get_leading_maxcond(fra)
fra_subconds.append(fra_subcond)
sample_counter = sample_counter + 1
np.savetxt("./test_result/test_result" + str(counter) + "_z_mod_a.txt",mat)
os.mkdir("./test_result/fra_" + str(counter) + "_" + str(sample_counter))
for i in range(0,len(fras)):
np.savetxt("./test_result/fra_" + str(counter) + "_" + str(sample_counter) + "/" + str(i) + ".txt", fras[i])
output = open("./test_result/test_result" + str(counter) + "_z_a_subcond.txt",'w')
output.write(str(a_subcond))
output.close()
output = open("./test_result/test_result" + str(counter) + "_z_fra_subcond.txt",'w')
output.write(str(fra_subconds))
output.close()
output = open("./test_result/test_result" + str(counter) + "_z_mca.txt",'w')
output.write(str(mca))
output = open("./test_result/test_result" + str(counter) + "_z_mcfra.txt",'w')
output.write(str(mcfra))
output.close()
output = open("./test_result/test_result" + str(counter) + "_z_det.txt",'w')
output.write(str(np.linalg.det(mat)))
output.close()
output = open("./test_result/test_result" + str(counter) + "_z_cdnum.txt",'w')
output.write(str(linalg.cond(mat)))
output.close()
counter = counter + 1
print(str(counter) + "detected")
