Python计算一元函数的N次方多项式

第一种： from datetime import datetime #f(x)=a0+a1x+a2x2+a3*x3+... def f(a,x):

p=0
for i in range(0,len(a)):
    p=p+a[i]*((x)**i)

print(p)

a=[2,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6] x=1 begin = datetime.now() # 获取当前datetime beg_stamp=begin.timestamp() for i in range(0,100):

t=f(a,x)

end = datetime.now() # 获取当前datetime end_stamp=end.timestamp() # 把datetime转换为timestamp print(end_stamp-beg_stamp)

第二种： from datetime import datetime #f(x)=a0+x(a1+x(...(an-1+x(an)))) def f(a,x):

p=a[-1]
for i in range(0,len(a)-1):
    b=list(reversed(a))
    p=b[i+1]+x*p

print(p)

a=[2,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6,9,7,7,8,9,6,3,2,6,8,9,7,7,8,9,6] x=1 begin = datetime.now() # 获取当前datetime beg_stamp=begin.timestamp()
for i in range(0,100 ): t=f(a,x) end = datetime.now() # 获取当前datetime end_stamp=end.timestamp() # 把datetime转换为timestamp print(end_stamp-beg_stamp)

注意：按道理第一种的时间复杂度为n平方，第二种为n 但是做出来的是第一种时间更短 ，不知道为什么？？？试了很多次