Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
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Updated
May 6, 2024 - Julia
Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
Easy-to-use linear and non-linear solver
Collection of line search techniques
📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.
Provides line search methods, such as backtracking, to determine the optimal step size in optimization and root-finding algorithms.
Line Search optimization of several 2D functions demonstrating the usage of Gradient Descent and Hessian direction with Wolfe condition
Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes
Golden Section, Quadratic Interpolation, Nelder-Mead line search algorithms are studied.
Text Statistics For Node Streams
Implementation of numerical optimization algorithms for logistic regression problem.
Visualize common algorithms using python
Codes for primal-dual method with linesearch
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