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Name		Name	Last commit message	Last commit date
__pycache__		__pycache__
LICENSE		LICENSE
MCO_I_Slides.pdf		MCO_I_Slides.pdf
README.md		README.md
augmented_lagrangian.py		augmented_lagrangian.py
bfgs_shannon_algorithm.png		bfgs_shannon_algorithm.png
computational_methods_and_optimization.pdf		computational_methods_and_optimization.pdf
dfp_powell.png		dfp_powell.png
dfp_powell.py		dfp_powell.py
fletcher_reeves.png		fletcher_reeves.png
fletcher_reeves_method.py		fletcher_reeves_method.py
golden_line_search.py		golden_line_search.py
golden_section.png		golden_section.png
hooke_jeeves_pattern_search.py		hooke_jeeves_pattern_search.py
marquardt-algorithm.png		marquardt-algorithm.png
modified_newton_hessian.png		modified_newton_hessian.png
newton_convergence.png		newton_convergence.png
steepest_descent_method.png		steepest_descent_method.png

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computational-methods-and-optimization

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keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation

sci-hub.hkvisa.net/10.1002/0471787779

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augmented-lagrangian augmented-lagrangian-method constrained-opt fletcher-reeves golden-ratio golden-section golden-section-search hooke-jeeves karush-kuhn-tucker non-linear-optimization pattern-search pattern-searching-algorithms penalty-method penalty-methods

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