def dup_spherical_bessel_fn(n, K):
""" Low-level implementation of fn(n, x) """
seq = [[K.one], [K.one, K.zero]]
for i in xrange(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2 * i - 1), K)
seq.append(dup_sub(a, seq[-2], K))
return dup_lshift(seq[n], 1, K)
def dup_spherical_bessel_fn(n, K):
""" Low-level implementation of fn(n, x) """
seq = [[K.one], [K.one, K.zero]]
for i in range(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2*i - 1), K)
seq.append(dup_sub(a, seq[-2], K))
return dup_lshift(seq[n], 1, K)
def dup_revert(f, n, K):
"""
Compute ``f**(-1)`` mod ``x**n`` using Newton iteration.
This function computes first ``2**n`` terms of a polynomial that
is a result of inversion of a polynomial modulo ``x**n``. This is
useful to efficiently compute series expansion of ``1/f``.
Examples
========
>>> from sympy.polys import ring, QQ
>>> R, x = ring("x", QQ)
>>> f = -QQ(1,720)*x**6 + QQ(1,24)*x**4 - QQ(1,2)*x**2 + 1
>>> R.dup_revert(f, 8)
61/720*x**6 + 5/24*x**4 + 1/2*x**2 + 1
"""
g = [K.revert(dup_TC(f, K))]
h = [K.one, K.zero, K.zero]
N = int(_ceil(_log(n, 2)))
for i in range(1, N + 1):
a = dup_mul_ground(g, K(2), K)
b = dup_mul(f, dup_sqr(g, K), K)
g = dup_rem(dup_sub(a, b, K), h, K)
h = dup_lshift(h, dup_degree(h), K)
return g
def dup_revert(f, n, K):
"""
Compute ``f**(-1)`` mod ``x**n`` using Newton iteration.
This function computes first ``2**n`` terms of a polynomial that
is a result of inversion of a polynomial modulo ``x**n``. This is
useful to efficiently compute series expansion of ``1/f``.
Examples
========
>>> from sympy.polys import ring, QQ
>>> R, x = ring("x", QQ)
>>> f = -QQ(1,720)*x**6 + QQ(1,24)*x**4 - QQ(1,2)*x**2 + 1
>>> R.dup_revert(f, 8)
61/720*x**6 + 5/24*x**4 + 1/2*x**2 + 1
"""
g = [K.revert(dup_TC(f, K))]
h = [K.one, K.zero, K.zero]
N = int(_ceil(_log(n, 2)))
for i in range(1, N + 1):
a = dup_mul_ground(g, K(2), K)
b = dup_mul(f, dup_sqr(g, K), K)
g = dup_rem(dup_sub(a, b, K), h, K)
h = dup_lshift(h, dup_degree(h), K)
return g
def dup_revert(f, n, K):
"""
Compute ``f**(-1)`` mod ``x**n`` using Newton iteration.
This function computes first ``2**n`` terms of a polynomial that
is a result of inversion of a polynomial modulo ``x**n``. This is
useful to efficiently compute series expansion of ``1/f``.
Examples
========
>>> from sympy.polys.domains import QQ
>>> from sympy.polys.densetools import dup_revert
>>> f = [-QQ(1,720), QQ(0), QQ(1,24), QQ(0), -QQ(1,2), QQ(0), QQ(1)]
>>> dup_revert(f, 8, QQ)
[61/720, 0/1, 5/24, 0/1, 1/2, 0/1, 1/1]
"""
g = [K.revert(dup_TC(f, K))]
h = [K.one, K.zero, K.zero]
N = int(_ceil(_log(n, 2)))
for i in xrange(1, N + 1):
a = dup_mul_ground(g, K(2), K)
b = dup_mul(f, dup_sqr(g, K), K)
g = dup_rem(dup_sub(a, b, K), h, K)
h = dup_lshift(h, dup_degree(h), K)
return g
def dup_revert(f, n, K):
"""
Compute ``f**(-1)`` mod ``x**n`` using Newton iteration.
This function computes first ``2**n`` terms of a polynomial that
is a result of inversion of a polynomial modulo ``x**n``. This is
useful to efficiently compute series expansion of ``1/f``.
Examples
========
>>> from sympy.polys.domains import QQ
>>> from sympy.polys.densetools import dup_revert
>>> f = [-QQ(1,720), QQ(0), QQ(1,24), QQ(0), -QQ(1,2), QQ(0), QQ(1)]
>>> dup_revert(f, 8, QQ)
[61/720, 0/1, 5/24, 0/1, 1/2, 0/1, 1/1]
"""
g = [K.revert(dup_TC(f, K))]
h = [K.one, K.zero, K.zero]
N = int(_ceil(_log(n, 2)))
for i in xrange(1, N + 1):
a = dup_mul_ground(g, K(2), K)
b = dup_mul(f, dup_sqr(g, K), K)
g = dup_rem(dup_sub(a, b, K), h, K)
h = dup_lshift(h, dup_degree(h), K)
return g
def dup_chebyshevt(n, K):
"""Low-level implementation of Chebyshev polynomials of the 1st kind. """
seq = [[K.one], [K.one, K.zero]]
for i in xrange(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2), K)
seq.append(dup_sub(a, seq[-2], K))
return seq[n]
def dup_chebyshevt(n, K):
"""Low-level implementation of Chebyshev polynomials of the 1st kind. """
seq = [[K.one], [K.one, K.zero]]
for i in range(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2), K)
seq.append(dup_sub(a, seq[-2], K))
return seq[n]
def dup_legendre(n, K):
"""Low-level implementation of Legendre polynomials. """
seq = [[K.one], [K.one, K.zero]]
for i in range(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2*i - 1, i), K)
b = dup_mul_ground(seq[-2], K(i - 1, i), K)
seq.append(dup_sub(a, b, K))
return seq[n]
def dup_legendre(n, K):
"""Low-level implementation of Legendre polynomials. """
seq = [[K.one], [K.one, K.zero]]
for i in xrange(2, n + 1):
a = dup_mul_ground(dup_lshift(seq[-1], 1, K), K(2 * i - 1, i), K)
b = dup_mul_ground(seq[-2], K(i - 1, i), K)
seq.append(dup_sub(a, b, K))
return seq[n]
def dup_gegenbauer(n, a, K):
"""Low-level implementation of Gegenbauer polynomials. """
seq = [[K.one], [K(2) * a, K.zero]]
for i in xrange(2, n + 1):
f1 = K(2) * (i + a - K.one) / i
f2 = (i + K(2) * a - K(2)) / i
p1 = dup_mul_ground(dup_lshift(seq[-1], 1, K), f1, K)
p2 = dup_mul_ground(seq[-2], f2, K)
seq.append(dup_sub(p1, p2, K))
return seq[n]
def dup_gegenbauer(n, a, K):
"""Low-level implementation of Gegenbauer polynomials. """
seq = [[K.one], [K(2)*a, K.zero]]
for i in range(2, n + 1):
f1 = K(2) * (i + a - K.one) / i
f2 = (i + K(2)*a - K(2)) / i
p1 = dup_mul_ground(dup_lshift(seq[-1], 1, K), f1, K)
p2 = dup_mul_ground(seq[-2], f2, K)
seq.append(dup_sub(p1, p2, K))
return seq[n]
def dup_hermite(n, K):
"""Low-level implementation of Hermite polynomials. """
seq = [[K.one], [K(2), K.zero]]
for i in range(2, n + 1):
a = dup_lshift(seq[-1], 1, K)
b = dup_mul_ground(seq[-2], K(i - 1), K)
c = dup_mul_ground(dup_sub(a, b, K), K(2), K)
seq.append(c)
return seq[n]
def dup_hermite(n, K):
"""Low-level implementation of Hermite polynomials. """
seq = [[K.one], [K(2), K.zero]]
for i in xrange(2, n + 1):
a = dup_lshift(seq[-1], 1, K)
b = dup_mul_ground(seq[-2], K(i - 1), K)
c = dup_mul_ground(dup_sub(a, b, K), K(2), K)
seq.append(c)
return seq[n]
def dup_jacobi(n, a, b, K):
"""Low-level implementation of Jacobi polynomials. """
seq = [[K.one], [(a + b + K(2))/K(2), (a - b)/K(2)]]
for i in range(2, n + 1):
den = K(i)*(a + b + i)*(a + b + K(2)*i - K(2))
f0 = (a + b + K(2)*i - K.one) * (a*a - b*b) / (K(2)*den)
f1 = (a + b + K(2)*i - K.one) * (a + b + K(2)*i - K(2)) * (a + b + K(2)*i) / (K(2)*den)
f2 = (a + i - K.one)*(b + i - K.one)*(a + b + K(2)*i) / den
p0 = dup_mul_ground(seq[-1], f0, K)
p1 = dup_mul_ground(dup_lshift(seq[-1], 1, K), f1, K)
p2 = dup_mul_ground(seq[-2], f2, K)
seq.append(dup_sub(dup_add(p0, p1, K), p2, K))
return seq[n]
def dup_jacobi(n, a, b, K):
"""Low-level implementation of Jacobi polynomials. """
seq = [[K.one], [(a + b + K(2))/K(2), (a - b)/K(2)]]
for i in range(2, n + 1):
den = K(i)*(a + b + i)*(a + b + K(2)*i - K(2))
f0 = (a + b + K(2)*i - K.one) * (a*a - b*b) / (K(2)*den)
f1 = (a + b + K(2)*i - K.one) * (a + b + K(2)*i - K(2)) * (a + b + K(2)*i) / (K(2)*den)
f2 = (a + i - K.one)*(b + i - K.one)*(a + b + K(2)*i) / den
p0 = dup_mul_ground(seq[-1], f0, K)
p1 = dup_mul_ground(dup_lshift(seq[-1], 1, K), f1, K)
p2 = dup_mul_ground(seq[-2], f2, K)
seq.append(dup_sub(dup_add(p0, p1, K), p2, K))
return seq[n]
def test_dup_lshift():
assert dup_lshift([], 3, ZZ) == []
assert dup_lshift([1], 3, ZZ) == [1,0,0,0]
def dup_cyclotomic_p(f, K, irreducible=False):
"""
Efficiently test if ``f`` is a cyclotomic polnomial.
Examples
========
>>> from sympy.polys.factortools import dup_cyclotomic_p
>>> from sympy.polys.domains import ZZ
>>> f = [1, 0, 1, 0, 0, 0,-1, 0, 1, 0,-1, 0, 0, 0, 1, 0, 1]
>>> dup_cyclotomic_p(f, ZZ)
False
>>> g = [1, 0, 1, 0, 0, 0,-1, 0,-1, 0,-1, 0, 0, 0, 1, 0, 1]
>>> dup_cyclotomic_p(g, ZZ)
True
"""
if K.is_QQ:
try:
K0, K = K, K.get_ring()
f = dup_convert(f, K0, K)
except CoercionFailed:
return False
elif not K.is_ZZ:
return False
lc = dup_LC(f, K)
tc = dup_TC(f, K)
if lc != 1 or (tc != -1 and tc != 1):
return False
if not irreducible:
coeff, factors = dup_factor_list(f, K)
if coeff != K.one or factors != [(f, 1)]:
return False
n = dup_degree(f)
g, h = [], []
for i in xrange(n, -1, -2):
g.insert(0, f[i])
for i in xrange(n - 1, -1, -2):
h.insert(0, f[i])
g = dup_sqr(dup_strip(g), K)
h = dup_sqr(dup_strip(h), K)
F = dup_sub(g, dup_lshift(h, 1, K), K)
if K.is_negative(dup_LC(F, K)):
F = dup_neg(F, K)
if F == f:
return True
g = dup_mirror(f, K)
if K.is_negative(dup_LC(g, K)):
g = dup_neg(g, K)
if F == g and dup_cyclotomic_p(g, K):
return True
G = dup_sqf_part(F, K)
if dup_sqr(G, K) == F and dup_cyclotomic_p(G, K):
return True
return False
def dup_zz_cyclotomic_p(f, K, irreducible=False):
"""
Efficiently test if ``f`` is a cyclotomic polnomial.
**Examples**
>>> from sympy.polys.factortools import dup_zz_cyclotomic_p
>>> from sympy.polys.domains import ZZ
>>> f = [1, 0, 1, 0, 0, 0,-1, 0, 1, 0,-1, 0, 0, 0, 1, 0, 1]
>>> dup_zz_cyclotomic_p(f, ZZ)
False
>>> g = [1, 0, 1, 0, 0, 0,-1, 0,-1, 0,-1, 0, 0, 0, 1, 0, 1]
>>> dup_zz_cyclotomic_p(g, ZZ)
True
"""
if K.is_QQ:
try:
K0, K = K, K.get_ring()
f = dup_convert(f, K0, K)
except CoercionFailed:
return False
elif not K.is_ZZ:
return False
lc = dup_LC(f, K)
tc = dup_TC(f, K)
if lc != 1 or (tc != -1 and tc != 1):
return False
if not irreducible:
coeff, factors = dup_factor_list(f, K)
if coeff != K.one or factors != [(f, 1)]:
return False
n = dup_degree(f)
g, h = [], []
for i in xrange(n, -1, -2):
g.insert(0, f[i])
for i in xrange(n-1, -1, -2):
h.insert(0, f[i])
g = dup_sqr(dup_strip(g), K)
h = dup_sqr(dup_strip(h), K)
F = dup_sub(g, dup_lshift(h, 1, K), K)
if K.is_negative(dup_LC(F, K)):
F = dup_neg(F, K)
if F == f:
return True
g = dup_mirror(f, K)
if K.is_negative(dup_LC(g, K)):
g = dup_neg(g, K)
if F == g and dup_zz_cyclotomic_p(g, K):
return True
G = dup_sqf_part(F, K)
if dup_sqr(G, K) == F and dup_zz_cyclotomic_p(G, K):
return True
return False
