“Scipy”的版本间差异
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*求函数最小值 |
*求函数最小值 |
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:Methods based on conjugate gradient are named with ‘cg’ in scipy. The simple conjugate gradient method to minimize a function is scipy.optimize.fmin_cg(): |
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:In scipy, scipy.optimize.fmin() implements the Nelder-Mead approach: (不太依赖于倒数) |
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2017年10月1日 (日) 12:51的版本
- 求函数最小值
- Methods based on conjugate gradient are named with ‘cg’ in scipy. The simple conjugate gradient method to minimize a function is scipy.optimize.fmin_cg():
- In scipy, scipy.optimize.fmin() implements the Nelder-Mead approach: (不太依赖于倒数)