【问题标题】:Taylor polynomial calculation泰勒多项式计算
【发布时间】:2012-10-22 12:22:20
【问题描述】:

我目前正在为我的大学学习做一个 Python 练习。我非常坚持这项任务:

指数函数 e^x 的 N 次泰勒多项式由下式给出:

        N
p(x) = Sigma  x^k/k!  
k = 0

制作一个程序,(i) 导入类 Polynomial(可在下面找到),(ii) 从命令行读取 x 和一系列 N 值,(iii) 创建一个表示泰勒多项式的 Polynomial 实例,以及 (iv)打印给定 N 值的 p(x) 值以及精确值 e^x。试试 x = 0.5, 3, 10 和 N = 2, 5, 10, 15, 25 的程序。

多项式.py

import numpy

class Polynomial:
def __init__(self, coefficients):
    self.coeff = coefficients

def __call__(self, x):
    """Evaluate the polynomial."""
    s = 0
    for i in range(len(self.coeff)):
        s += self.coeff[i]*x**i
    return s

def __add__(self, other):
    # Start with the longest list and add in the other
    if len(self.coeff) > len(other.coeff):
        result_coeff = self.coeff[:]  # copy!
        for i in range(len(other.coeff)):
            result_coeff[i] += other.coeff[i]
    else:
        result_coeff = other.coeff[:] # copy!
        for i in range(len(self.coeff)):
            result_coeff[i] += self.coeff[i]
    return Polynomial(result_coeff)

def __mul__(self, other):
    c = self.coeff
    d = other.coeff
    M = len(c) - 1
    N = len(d) - 1
    result_coeff = numpy.zeros(M+N+1)
    for i in range(0, M+1):
        for j in range(0, N+1):
            result_coeff[i+j] += c[i]*d[j]
    return Polynomial(result_coeff)

def differentiate(self):
    """Differentiate this polynomial in-place."""
    for i in range(1, len(self.coeff)):
        self.coeff[i-1] = i*self.coeff[i]
    del self.coeff[-1]

def derivative(self):
    """Copy this polynomial and return its derivative."""
    dpdx = Polynomial(self.coeff[:])  # make a copy
    dpdx.differentiate()
    return dpdx

def __str__(self):
    s = ''
    for i in range(0, len(self.coeff)):
        if self.coeff[i] != 0:
            s += ' + %g*x^%d' % (self.coeff[i], i)
    # Fix layout
    s = s.replace('+ -', '- ')
    s = s.replace('x^0', '1')
    s = s.replace(' 1*', ' ')
    s = s.replace('x^1 ', 'x ')
    #s = s.replace('x^1', 'x') # will replace x^100 by x^00
    if s[0:3] == ' + ':  # remove initial +
        s = s[3:]
    if s[0:3] == ' - ':  # fix spaces for initial -
        s = '-' + s[3:]
    return s

def simplestr(self):
    s = ''
    for i in range(0, len(self.coeff)):
        s += ' + %g*x^%d' % (self.coeff[i], i)
    return s


def _test():
    p1 = Polynomial([1, -1])
    p2 = Polynomial([0, 1, 0, 0, -6, -1])
    p3 = p1 + p2
print p1, '  +  ', p2, '  =  ', p3
p4 = p1*p2
print p1, '  *  ', p2, '  =  ', p4
print 'p2(3) =', p2(3)
p5 = p2.derivative()
print 'd/dx', p2, '  =  ', p5
print 'd/dx', p2,
p2.differentiate()
print '  =  ', p5
p4 = p2.derivative()
print 'd/dx', p2, '  =  ', p4

if __name__ == '__main__':
_test()

现在我真的陷入了困境,我很想得到解释!我应该将我的代码写在一个单独的文件中。我正在考虑创建多项式类的实例,并在 argv[2:] 中发送列表,但这似乎不起作用。在将 N 的不同值发送到 Polynomial 类之前,我是否必须创建一个 def 来计算泰勒多项式?

任何帮助都很好,在此先感谢:)

【问题讨论】:

    标签: python math


    【解决方案1】:

    尚未完成,但我相信这回答了您的主要问题。将类 Polynomial 放入 poly.p 并导入。

    from poly import Polynomial as p
    from math import exp,factorial
    
    def get_input(n):
        ''' get n numbers from stdin '''
        entered = list()
        for i in range(n):
            print 'input number '
        entered.append(raw_input())
        return entered
    
    def some_input():
        return [[2,3,4],[4,3,2]]
    
    
    
    get input from cmd line                                                                                                                                   
    n = 3                                                                                                                                                     
    a = get_input(n)                                                                                                                                          
    b = get_input(n)                                                                                                                                          
    
    
    #a,b = some_input()
    
    ap = p(a)
    bp = p(b)
    
    
    print 'entered : ',a,b
    
    c = ap+bp
    
    print 'a + b = ',c
    
    print exp(3)
    
    x = ap
    print x
    
    sum = p([0])
    for k in range(1,5):
        el = x
        for j in range(1,k):
            el  el * x
            print 'el: ',el
        if el!=None and sum!=None:
            sum = sum + el
            print 'sum ',sum
    

    输出

    entered :  [2, 3, 4] [4, 3, 2]
    a + b =  6*1 + 6*x + 6*x^2
    20.0855369232
    2*1 + 3*x + 4*x^2
    sum  2*1 + 3*x + 4*x^2
    el:  4*1 + 12*x + 25*x^2 + 24*x^3 + 16*x^4
    sum  6*1 + 15*x + 29*x^2 + 24*x^3 + 16*x^4
    el:  4*1 + 12*x + 25*x^2 + 24*x^3 + 16*x^4
    el:  8*1 + 36*x + 102*x^2 + 171*x^3 + 204*x^4 + 144*x^5 + 64*x^6
    sum  14*1 + 51*x + 131*x^2 + 195*x^3 + 220*x^4 + 144*x^5 + 64*x^6
    el:  4*1 + 12*x + 25*x^2 + 24*x^3 + 16*x^4
    el:  8*1 + 36*x + 102*x^2 + 171*x^3 + 204*x^4 + 144*x^5 + 64*x^6
    el:  16*1 + 96*x + 344*x^2 + 792*x^3 + 1329*x^4 + 1584*x^5 + 1376*x^6 + 768*x^7 + 256*x^8
    sum  30*1 + 147*x + 475*x^2 + 987*x^3 + 1549*x^4 + 1728*x^5 + 1440*x^6 + 768*x^7 + 256*x^8
    

    【讨论】:

    • 哇,非常感谢。这确实回答了我的问题。谢谢! :)
    【解决方案2】:

    我通过以下方式解决了任务,但我不确定它是否回答了问题 (iv)。 输出只是将 e**x 的精确值与模块多项式的计算值进行比较。

    from math import factorial, exp
    from Polynomial import *
    from sys import *
    
    #Reads x and N from the command line on the form [filename.py, x-value, N-value]
    x = eval(argv[1])
    N = eval(argv[2])
    
    #Creating list of coefficients on the form [1 / i!]
    list_coeff = [1./factorial(i) for i in range(N)]
    
    print list_coeff
    
    #Creating an instance of class Polynomial
    p1 = Polynomial(list_coeff)
    
    print 'Calculated value of e**%f = %f ' %(x, p1.__call__(x))
    print 'Exact value of e**%f = %f'% (x, exp(x))
    
    """Test Execution
    Terminal > python Polynomial_exp.py 0.5 5
    [1.0, 1.0, 0.5, 0.16666666666666666, 0.041666666666666664]
    Calculated value of e**0.500000 = 1.648438 
    Exact value of e**0.500000 = 1.648721
    """
    

    【讨论】:

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