71 lines
1.9 KiB
Python
71 lines
1.9 KiB
Python
''' mbinary
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#########################################################################
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# File : numerical_integration.py
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# Author: mbinary
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# Mail: zhuheqin1@gmail.com
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# Blog: https://mbinary.xyz
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# Github: https://github.com/mbinary
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# Created Time: 2018-10-02 21:14
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# Description:
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#########################################################################
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'''
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#########################################################################
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# File : numerical integration.py
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# Author: mbinary
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# Mail: zhuheqin1@gmail.com
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# Blog: https://mbinary.xyz
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# Github: https://github.com/mbinary
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# Created Time: 2018-05-11 08:58
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# Description:
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# numerical intergration: using Newton-Cotes integration, and Simpson
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# 数值积分, 使用 牛顿-科特斯积分, 辛普森
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#########################################################################
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import numpy as np
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def trapezoidal(a,b,h,fs):
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'''梯形积分公式'''
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xs = [i for i in np.arange(a,b+h,h)]
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print(xs)
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ret = h*(sum(fs)-fs[0]/2 - fs[-1]/2)
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print(ret)
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return ret
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def simpson(a,b,h,fs):
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'''辛普森积分公式'''
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xs = [i for i in np.arange(a,b+h,h)]
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print(xs)
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ret = h/3*(4* sum(fs[1::2])+ 2*sum(fs[2:-1:2]) + fs[0]+fs[-1])
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print(ret)
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return ret
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def romberg(a,b,f,epcilon):
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'''romberg(龙贝格) 数值积分'''
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h = b-a
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lst1=[h*(f(a)+f(b))/2]
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print(lst1)
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delta = epcilon
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k=1
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while delta >= epcilon:
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h/=2
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k+=1
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lst2=[]
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lst2.append((lst1[0]+h*2*sum(f(a+(2*i-1)*h) for i in range(1,2**(k-2)+1)))/2)
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for j in range(0,k-1):
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lst2.append(lst2[j]+(lst2[j]-lst1[j])/(4**(j+1)-1))
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delta = abs(lst2[-1]-lst1[-1])
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lst1=lst2
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print(lst1)
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if __name__=='__main__':
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a,b,h = 0.6,1.8,0.2
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fs=[5.7,4.6,3.5,3.7,4.9,5.2,5.5]
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trapezoidal(a,b,h,fs)
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simpson(a,b,h,fs)
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romberg(1,2,lambda x:sin(x**4),1e-4)
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