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Codes for primal-dual method with linesearch
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Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes
Implementation of numerical optimization algorithms for logistic regression problem.
Golden Section, Quadratic Interpolation, Nelder-Mead line search algorithms are studied.
Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
Visualize common algorithms using python
Provides line search methods, such as backtracking, to determine the optimal step size in optimization and root-finding algorithms.
Collection of line search techniques
Line Search optimization of several 2D functions demonstrating the usage of Gradient Descent and Hessian direction with Wolfe condition