mohesmail143 / numerical-optimization-techniques Goto Github PK
View Code? Open in Web Editor NEWA set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).
License: MIT License