SciPy TutorialLesson 5Free preview

SciPy Optimizers

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Summary

SciPy optimizers are used to find the best value of a function, such as minimum cost or maximum profit. The scipy.optimize module provides minimize, minimize_scalar, and curve_fit which are each suitable for different input types. Some methods require preliminary estimates and limits to converge results.

Key points

It provides ready-made optimization algorithms
Minimize is used for functions with many variables
Minimize_scalar is used for a single variable function
The initial guess and the limit help the method to the solution

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