Powell's Derivative-Free Optimization solvers.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

This is a mirror of https://github.com/libprima/prima.

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

Powell method

PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration

Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.

Unofficial Powell 365 documentation.

anugrah main

Implemented methods of optimization for numerical algorithms in python.

Simple and Denoising Autoencoder implementations in Python. Variational Autoencoder using Keras.

Shoes landing page with HTML and SCSS as practice exercise from Kevin Powell's youtube video, posted on @traversymedia. 👟🥾👢

Course assignments for CL 663: IIT Bombay

Algoritmos de Grafos. Grafos No Dirigidos No Ponderados y Ponderados. Grafos Dirigidos Ponderados. Coloreo de Grafos con algoritmos Secuencial Aleatorio, Welsh-Powell y Matula. Algoritmos de Dijkstra, Prim, Kruskal, Floyd, Warshall. Búsqueda en Profundidad (DFS) y Búsqueda en Anchura (BFS).