Basic unconstrained optimization algorithms

A Matlab implementation for basic unconstrained optimization algorithms

버전 1.0.0 (6.94 KB)
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2021/2/25

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A Matlab implementation for basic unconstrained optimization algorithms as defined in 'Linear and nonlinear programming by Luenberger and Ye'. The package includes Steepest Descent, Newtons, Fletcher-Reeves and Davidon–Fletcher–Powell algorithms with Fibonacci, Dichotomous, Interval Halving, Newtons and Quadratic line search methods.
To test the methods: Run 'scr_optim.m'

인용 양식

Ethem H. Orhan (2026). Basic unconstrained optimization algorithms (https://kr.mathworks.com/matlabcentral/fileexchange/87839-basic-unconstrained-optimization-algorithms), MATLAB Central File Exchange. 검색 날짜: .

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