Topic: "gradient-method"
fedPa1/Optimization-Algorithms
Implementation of optimization algorithms in python including: Armijo rule , Conjugated direction , Conjugated gradient , Gradient method , Globally Convergent Newton Method , Quasi Newton Method , Compass Search Method
Language: Python - Size: 133 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
zythorn/OptimalGradientSliding
Unofficial implementation of the Accelerated ExtraGradient method from the 2022 paper "Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity" by Kovalev D. et al.
Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
deliprofesor/Optimizasyon_Teorisi
This repository contains lecture notes for the Optimization Theory course. The course covers fundamental concepts of optimization, classification of optimization problems, graphical methods, classical optimization techniques, constrained and unconstrained optimization, linear and nonlinear programming, and gradient methods.
Size: 12.3 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
CAI991108/Optimization-and-Modeling-Utils
This repository contains Python codes for various optimization and modeling tasks, including inheritance partitioning, surface and contour plotting, warehouse location optimization, root-finding using Bisection and Golden Section methods, gradient descent with different step-size strategies, inertial gradient methods, and image inpainting
Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
somefunAgba/autosgm
AutoSGM
Language: Python - Size: 4.99 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
camilobetanieto/OptimizationDataScience
Implementation of unconstrained and constrained convex optimization algorithms in Python, focusing on solving data science problems such as semi-supervised learning and Support Vector Machines.
Language: Jupyter Notebook - Size: 6.49 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Qrange-group/Mirror-Gradient
Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.
Language: Python - Size: 501 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
leonardopedroso/Optimization-Algorithms
Optimisation and algorithm project. I) L1, L2, and L2^2 regularisers in optimal trajectory synthesis; II) Logistic data classification; III) Gradient methods.
Language: MATLAB - Size: 51.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
LinusLinusDev/CppMaths
Gradient method, Newton method, Euler and Heun method, discrete Fourier transform and Monte Carlo simulation in C++
Language: C++ - Size: 36.7 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
eskinderit/SGD
An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method
Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
