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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.
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
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).
Unofficial Powell 365 documentation.
Shoes landing page with HTML and SCSS as practice exercise from Kevin Powell's youtube video, posted on @traversymedia. 👟🥾👢
A repo for my progress in 21 Day Responsive Challenge with CSS by Kevin Powell.
This is a mirror of https://github.com/libprima/prima.
Simple and Denoising Autoencoder implementations in Python. Variational Autoencoder using Keras.
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
Implemented methods of optimization for numerical algorithms in python.
Course assignments for CL 663: IIT Bombay