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GitHub topics: convex-functions

ostad-ai/Optimization

Optimization includes a class of methods to find global or local optima for discrete or continuous objectives; from evolutionary-based algorithms to swarm-based ones.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

khetansarvesh/Convex-Unconstrained-NonLinear-Optimization-Algorithms

Analytical and numerical techniques like gradient descent, genetic algorithm, ... to solve a convex unconstrained nonlinear optimization problem from scratchh without using any python library

Language: Jupyter Notebook - Size: 256 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

pattylo/Convex_optimization_playground

Convex Optimization Course and Playground.

Language: MATLAB - Size: 16.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

devosmitachatterjee2018/Stochastic_Optimization_Algorithms

The project involves the implementation of classical optimization methods such as gradient descent and penalty methods, evolutionary algorithms such as genetic algorithm, particle swarm optimization, and ant colony optimization in the solution of optimization problems.

Language: MATLAB - Size: 329 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Related Keywords
convex-functions 4 gradient-descent 3 evolutionary-algorithms 2 optimization 2 optimization-algorithms 2 penalty-methods 1 particle-swarm-optimization 1 lagrange-multiplier-method 1 genetic-algorithm 1 classical-optimization-methods 1 ant-colony-optimization 1 duality 1 convex-solvers 1 convex-sets 1 convex-problem 1 convex-optimization 1 minima 1 subgradient 1 simulated-annealing 1 search 1 python 1 newton-method 1 hill-climbing 1 evolution-strategy 1 coordinate-descent 1