文件名称:numerical-methods-1211798205859074-8
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- 上传时间：2012-11-16
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Input - f is the function input as a string f
- df is the derivative of f input as a string df
- p0 is the initial approximation to the zero of f
- delta is the tolerance for p0
- epsilon is the tolerance for the function
- max1 is the maximum number of iterations
Output - p0 is the Newton-Raphson approximation to the zero
- err is the error estimate for p0
- k is the number of iterations
- y is the function value f(p0)- Input - f is the function input as a string f
- df is the derivative of f input as a string df
- p0 is the initial approximation to the zero of f
- delta is the tolerance for p0
- epsilon is the tolerance for the function
- max1 is the maximum number of iterations
Output - p0 is the Newton-Raphson approximation to the zero
- err is the error estimate for p0
- k is the number of iterations
- y is the function value f(p0)
- df is the derivative of f input as a string df
- p0 is the initial approximation to the zero of f
- delta is the tolerance for p0
- epsilon is the tolerance for the function
- max1 is the maximum number of iterations
Output - p0 is the Newton-Raphson approximation to the zero
- err is the error estimate for p0
- k is the number of iterations
- y is the function value f(p0)- Input - f is the function input as a string f
- df is the derivative of f input as a string df
- p0 is the initial approximation to the zero of f
- delta is the tolerance for p0
- epsilon is the tolerance for the function
- max1 is the maximum number of iterations
Output - p0 is the Newton-Raphson approximation to the zero
- err is the error estimate for p0
- k is the number of iterations
- y is the function value f(p0)
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numerical-methods-1211798205859074-8.ppt
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