Easy-to-use linear and non-linear solver
📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.
Codes for primal-dual method with linesearch
Text Statistics For Node Streams
Implementation of numerical optimization algorithms for logistic regression problem.
Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes
Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
Golden Section, Quadratic Interpolation, Nelder-Mead line search algorithms are studied.
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
Visualize common algorithms using python
Collection of line search techniques
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