根据文档字符串,help(sympy.fu)
,
fu
将尝试最小化目标函数measure
。默认情况下这个
首先最小化三角项的数量,然后最小化总三角项的数量
运营。
但是,如果您通过
measure=lambda x: -x.count_ops()
then fu
会尝试maximize操作数 https://groups.google.com/forum/#!topic/sympy/wTXXjQg9Zyk.
import sympy as sy
sy.init_printing()
wrf, wlo, t = sy.symbols('\omega_RF \omega_LO t')
c = sy.cos(wrf*t)*sy.cos(wlo*t)
print(sy.fu(c, measure=lambda x: -x.count_ops()))
yields
cos(\omega_LO*t - \omega_RF*t)/2 + cos(\omega_LO*t + \omega_RF*t)/2
或者,你可以直接调用Fu变换TR8 https://stackoverflow.com/a/25395386/190597:
from sympy.simplify.fu import TR8
print(TR8(c))
产生相同的结果。文档字符串,help(sys.modules['sympy.simplify.fu'])
解释了可用的转换。这是摘要;检查文档字符串以获取更多信息:
TR0 - simplify expression
TR1 - sec-csc to cos-sin
TR2 - tan-cot to sin-cos ratio
TR2i - sin-cos ratio to tan
TR3 - angle canonicalization
TR4 - functions at special angles
TR5 - powers of sin to powers of cos
TR6 - powers of cos to powers of sin
TR7 - reduce cos power (increase angle)
TR8 - expand products of sin-cos to sums
TR9 - contract sums of sin-cos to products
TR10 - separate sin-cos arguments
TR10i - collect sin-cos arguments
TR11 - reduce double angles
TR12 - separate tan arguments
TR12i - collect tan arguments
TR13 - expand product of tan-cot
TRmorrie - prod(cos(x*2**i), (i, 0, k - 1)) -> sin(2**k*x)/(2**k*sin(x))
TR14 - factored powers of sin or cos to cos or sin power
TR15 - negative powers of sin to cot power
TR16 - negative powers of cos to tan power
TR22 - tan-cot powers to negative powers of sec-csc functions
TR111 - negative sin-cos-tan powers to csc-sec-cot