Topic: "optimization-methods"
argmin-rs/argmin
Numerical optimization in pure Rust
Language: Rust - Size: 46.7 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 1,098 - Forks: 89

cvxgrp/cvxportfolio
Portfolio optimization and back-testing.
Language: Python - Size: 168 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,075 - Forks: 267

PatWie/CppNumericalSolvers
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
Language: C++ - Size: 722 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 899 - Forks: 203

esa/pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Language: C++ - Size: 58.3 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 862 - Forks: 163

esa/pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Language: C++ - Size: 13.9 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 476 - Forks: 59

Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Language: Python - Size: 24.4 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 448 - Forks: 35

semazurek/ET-Optimizer
ET is a powerful application to improve performance, debloat, optimize and enhance privacy for Windows 10/11.
Language: C# - Size: 9.45 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 390 - Forks: 32

cvanaret/Uno
A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization
Language: C++ - Size: 44.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 328 - Forks: 26

benchopt/benchopt
Making your benchmark of optimization algorithms simple and open
Language: Python - Size: 2.04 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 262 - Forks: 64

jaswinder9051998/zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Language: Python - Size: 6.75 MB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 245 - Forks: 46

PSORLab/EAGO.jl
A development environment for robust and global optimization
Language: Julia - Size: 6.07 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 148 - Forks: 17

avaneev/biteopt
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Language: C++ - Size: 3.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 148 - Forks: 9

seleb/PICO-8-Token-Optimizations
A list of general purpose tricks and techniques for saving tokens in PICO-8.
Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 144 - Forks: 8

amkatrutsa/optimization_course
A course on Optimization Methods
Language: Jupyter Notebook - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 141 - Forks: 47

JuliaNLSolvers/LineSearches.jl
Line search methods for optimization and root-finding
Language: Julia - Size: 391 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 133 - Forks: 37

coin-or/SHOT
A solver for mixed-integer nonlinear optimization problems
Language: C++ - Size: 27.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 121 - Forks: 27

raymondyfei/lbfgsb-gpu
An open source library for the GPU-implementation of L-BFGS-B algorithm
Language: C++ - Size: 75.2 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 118 - Forks: 18

mboudiaf/TIM
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Language: Python - Size: 6.08 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 114 - Forks: 18

SciNim/numericalnim
A collection of numerical methods written in Nim
Language: Nim - Size: 729 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 88 - Forks: 9

MerkulovDaniil/optim
💎A site, that contains systematic optimization methods and theory review
Language: Jupyter Notebook - Size: 297 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 83

cselab/korali
High-performance framework for uncertainty quantification, optimization and reinforcement learning.
Language: C++ - Size: 295 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 67 - Forks: 20

amkatrutsa/liboptpy
Implementation of various optimization methods
Language: Python - Size: 3.73 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 60 - Forks: 17

Cranial-XIX/FAMO
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
Language: Python - Size: 2.18 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 59 - Forks: 8

foo123/code-optimization-methods
A summary of code optimization methods
Size: 84 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 47 - Forks: 16

AndreiChertkov/ttopt
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Language: Python - Size: 629 KB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 36 - Forks: 3

lindonroberts/trust-region
Python trust-region subproblem solvers for nonlinear optimization
Language: Python - Size: 83 KB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 29 - Forks: 3

petrmanek/Revolver
A framework for building fast genetic algorithms in Swift.
Language: Swift - Size: 74 MB - Last synced at: 18 days ago - Pushed at: almost 8 years ago - Stars: 29 - Forks: 5

miguelcarcamov/gpuvmem
GPU Framework for Radio Astronomical Image Synthesis
Language: Cuda - Size: 503 MB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 28 - Forks: 3

wouterbles/pyaugmecon
An AUGMECON based multi-objective optimization solver for Pyomo.
Language: Python - Size: 644 KB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 26 - Forks: 8

cilix-ai/on-the-fly-guidance
[MICCAI 2024] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.
Language: Python - Size: 142 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 26 - Forks: 3

inversed-ru/Ascension
A metaheuristic optimization framework
Language: Pascal - Size: 283 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 4

NikoMalik/low-level-functions
Low-level functions for golang that help to avoid allocations
Language: Go - Size: 114 KB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 25 - Forks: 1

Foundations-of-HPC/High-Performance-Computing-2023
Slides, exercises and resources for the 2023-2024 course "High Performance Computing" under the "Scientific and Data-Intensive Computing" Naster Program at University of Trieste
Language: C - Size: 36.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 22 - Forks: 3

anuragagrawaal/pyPortfolioAnalysis
'Portfolio Analysis, methods for portfolio optimization'
Language: Python - Size: 3.35 MB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 4

harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Language: Python - Size: 58.6 KB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 6

DeveloperPaul123/genetic
A performant and flexible genetic algorithm implemented in C++20/23.
Language: C++ - Size: 1.62 MB - Last synced at: 21 days ago - Pushed at: 9 months ago - Stars: 19 - Forks: 1

ispaneli/lippy
A module for solving linear programming problems on Python.
Language: Python - Size: 136 KB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 3

forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
Language: Python - Size: 797 KB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 3

arotem3/numerics
library of numerical methods using Armadillo
Language: C++ - Size: 3.44 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 5

VolkanSah/optimize-MySQL-MariaDB
This configuration file includes some common settings to optimize MySQL or MariaDB performance, such as the innodb_buffer_pool_size, query_cache_size, and wait_timeout parameters.
Size: 26.4 KB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 16 - Forks: 5

MagedMohamedTurk/Turbomachinery-Rotors-Balancing
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
Language: Python - Size: 16.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 8

vikas9087/Bilevel-Optimization-Emissions
Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.
Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 5

DeveloperPaul123/Optimum
Accessible and modern implementations of common optimization algorithms.
Language: C++ - Size: 24 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 8

xuefeicao/cdn
Causal Dynamic Network Modeling
Language: Python - Size: 23 MB - Last synced at: 7 days ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 4

Nicolepcx/transformers-the-definitive-guide
This is the official repository for the book Transformers - The Definitive Guide
Language: Jupyter Notebook - Size: 9.86 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 13 - Forks: 5

smhooten/TMatrixOpt
An electromagnetic solver capable of simulating and optimizing 1D (thin-layer) structures via the semi-analytical transfer matrix method. For example, one can simulate and optimize broadband distributed Bragg reflectors, anti-reflection coatings, optical bandpass filters, and photovoltaic devices.
Language: Python - Size: 19.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 2

mohmdelsayed/HesScale
Scalable Computation of Hessian Diagonals
Language: Python - Size: 642 MB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 0

sichkar-valentyn/Transportation_Problem
Transportation Model for an optimal strategy for distributing a commodity from a group of supply centers to various receiving centers. Solved in C# Windows Form Application
Language: C# - Size: 732 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 4

ttinoco/OPTALG
Python package with optimization algorithms, wrappers and tools.
Language: Python - Size: 904 KB - Last synced at: 22 days ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 3

denehoffman/ganesh
A Rust optimization library
Language: Rust - Size: 48.4 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 9 - Forks: 1

fedemagnani/optimization-solvers
Numerical optimization solvers for unconstrained and simple-bounds constrained convex optimization problems in Rust
Language: Rust - Size: 10.3 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

Aradhye2002/selective-peft-toolkit
Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"
Language: Python - Size: 27.3 KB - Last synced at: 25 days ago - Pushed at: 9 months ago - Stars: 8 - Forks: 0

giannisdravilas/Polygonization-Point-Sets-2d
📐Polygonization of point sets in 2d, area optimization and accuracy/speed evaluation.
Language: C++ - Size: 650 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 1

omdxp/Quasi-Newton
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
Language: MATLAB - Size: 9.77 KB - Last synced at: 20 days ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 2

LSDOlab/modopt
A MODular development environment and library for OPTimization algorithms
Language: Python - Size: 6.38 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 7 - Forks: 4

roliveros-ramos/calibrar
Automated Parameter Estimation for Complex Models
Language: R - Size: 3.69 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 1

mike-gimelfarb/bboptpy
Powerful and scalable black-box optimization algorithms for Python and C++.
Language: C++ - Size: 2.44 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 1

sergio94al/Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 4

Shahul-Rahman/SPGD-Search-Party-Gradient-Descent-algorithm
SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800
Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

kernelism/Optimization-Techniques-Calculators 📦
A simple and easy-to-use CLI application that can be used to solve optimization math problems!
Language: Python - Size: 107 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

hr0nix/optax-adan
An implementation of adan optimizer for optax
Language: Python - Size: 18.6 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

tsyet12/Duelist-Algorithm-Python
A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708
Language: Python - Size: 234 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 2

microprediction/tuneup
Comparison of global optimization algorithms, including scipy, optuna, hyperopt, platypus, facebook-ax, pysot and others.
Language: Python - Size: 126 KB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 3

Nico-Curti/PhDthesis
PhD thesis in Applied Physics
Language: TeX - Size: 220 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 0

IFFM-PAS-MISD/lamb-opt
Elastic constants identification of composite laminates by using Lamb wave dispersion curves and optimization methods
Language: TeX - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

gbelouze/forward-gradient
Experiments with forward gradients on optimization test functions
Language: Python - Size: 535 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

selcukeskil/tabu-search-algorithm-in-Python-for-Capacitated-Plant-Location-Problem
As alternative heuristic technique; tabu search algorithm is implemented in Python for a capacitated plant location (CPL) problem. Details on implementation and test results can be found in this Github repository.
Language: Python - Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

HamBa-m/hambam-unconstraint-optimization
This package contains the implementation of all the introduced algorithms in the course of unconstraint optimization for the 1st year AI engineering student at UM5-ENSIAS, with in addition, the possibility to plot the results of each optimization.
Language: Python - Size: 129 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

quant-sci/optymus
Optimization methods for science and engineering.
Language: Python - Size: 115 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

aliasgharheidaricom/RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-Method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://aliasgharheidari.com/RUN.html.
Language: MATLAB - Size: 2.91 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 2

00Fjongl/js-extra
A nonstandard guide to reformatting JavaScript code.
Size: 409 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

MerkulovDaniil/msai22
Optimization methods course @ MIPT online MSc program.
Language: Jupyter Notebook - Size: 75.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

deno750/TSP_Optimization
Repository for the course Operations Research 2
Language: C - Size: 41.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

RahulBhalley/deep-learning-with-swift-for-tensorflow-book
Official source code for "Deep Learning with Swift for TensorFlow" 📖
Language: Swift - Size: 716 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

blockwise-direct-search/bds
Blockwise Direct Search (MATLAB version)
Language: MATLAB - Size: 7.96 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 11

OleksiyPenkov/X-RayCalc3
X-Ray Calc 3 is a modern revised and improved version of software for computer simulation and LFPSO curve fitting of X-ray reflectivity (XRR).
Language: Pascal - Size: 1.31 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 2

aliasgharheidaricom/Hunger-Games-Search-Visions-Conception-Implementation-Deep-Analysis-and-Performance-Shifts
Visit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPEDE, and JDE methods.
Language: MATLAB - Size: 2.92 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

yorkerlin/StructuredNGD-DL
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Language: Python - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

patrickboateng/machine-learning-visualization
Demonstrates how various machine learning optimization algorithms work by providing graphical displays in Microsoft Excel.
Language: Python - Size: 91.8 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

jinning-li/cem-torch
Cross Entropy Method (CEM) implemented under Pytorch, supporting batch dimension and receding horizon style optimization.
Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

CertifiedClown/FPS-BOOSTER-PACK-2022
Optimize Windows Tools for fps boost
Language: Batchfile - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

EliaFantini/Image-Reconstructor-FISTA-proximal-method-on-wavelets-transform
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Language: Python - Size: 2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

e-dub/DesOptPy
DESign OPTimization in PYthon
Language: Python - Size: 1.21 MB - Last synced at: 25 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

FernandoLpz/TPOT-Optimal-Pipeline-Searching
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
Language: Python - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

SourangshuGhosh/Optimization_Bayesian.jl
Bayesian optimization is a method of finding the maximum of expensive cost functions. Bayesian optimization employs the Bayesian technique of setting a prior over the objective function and combining it with evidence to get a posterior function. This permits a utility-based selection of the next observation to make on the objective function, which must take into account both exploration (sampling from areas of high uncertainty) and exploitation (sampling areas likely to offer improvement over the current best observation).
Language: Julia - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

ikkurthis1998/Simulated-Annealing-Python
This python code is developed by Sreemannarayana Ikkurthi, as a part of course notes for the course 15AES477: Multidisciplinary Design Optimization (MDO). In support of Dr. Rajesh Senthil Kumar T., Assistant Professor, Department of Aerospace Engneering, Amrita Vishwa Vidyapeetham.
Language: Jupyter Notebook - Size: 526 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

ikkurthis1998/Bisection-Python
This python code is developed by Sreemannarayana Ikkurthi, as a part of course notes for the course 15AES477: Multidisciplinary Design Optimization (MDO). In support of Dr. Rajesh Senthil Kumar T., Assistant Professor, Department of Aerospace Engneering, Amrita Vishwa Vidyapeetham.
Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

ikkurthis1998/Newton-Raphson-Python
This python code is developed by Sreemannarayana Ikkurthi, as a part of course notes for the course 15AES477: Multidisciplinary Design Optimization (MDO). In support of Dr. Rajesh Senthil Kumar T., Assistant Professor, Department of Aerospace Engneering, Amrita Vishwa Vidyapeetham.
Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

madhura711/Simulation-Modeling--Supply-Chain-Analytics
Size: 1.13 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 4

fbie/optimized-closure-experiments
Experiments with F# optimized closures.
Language: F# - Size: 442 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0

nikitosssobur/Optimization-Algorithms-Implementations
This repository will contain some implementations of optimization theory algorithms.
Language: Python - Size: 3.91 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

Foundations-of-HPC/Advanced-High-Performance-Computing-2023
Slides, exercises and resources for the 2023-2024 course "Advanced High Performance Computing" under the at "Scientific and Data-Intensive Computing" Master Program at University of Trieste
Language: C - Size: 5.77 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

dzonimn/Zoolia.jl
Julia implementations of various animal-inspired optimizers
Language: Julia - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

MoinDalvs/Gradient_Descent_For_beginners
Gradient_descent_Complete_In_Depth_for beginners
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

vitalyisaev2/rbfopt-go 📦
Find better configuration of your Go service with derivative-free optimization algorithms.
Language: Go - Size: 736 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

kirillzx/Math-projects
★Math researches and algorithms★
Language: Jupyter Notebook - Size: 32.4 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

anishacharya/DeLiCoCo-IEEE-Transactions
In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.
Language: Python - Size: 8.82 MB - Last synced at: 10 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

chicomcastro/optimized-Earth-Mars-transfer
A research and project of a interplanetary transfer targetting Mars from Earth made with patched conics technique and optimized with PSO algorithym implemented for Matlab
Language: MATLAB - Size: 3.78 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

ikkurthis1998/Genetic-Algorithm-Python
This python code is developed by Sreemannarayana Ikkurthi, as a part of course notes for the course 15AES477: Multidisciplinary Design Optimization (MDO). In support of Dr. Rajesh Senthil Kumar T., Assistant Professor, Department of Aerospace Engneering, Amrita Vishwa Vidyapeetham.
Language: Jupyter Notebook - Size: 574 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

el-mouatasim/NN-FGD
Python code of paper: Fast Gradient Descent Algorithm for Image Classification with Neural Networks, SIVP Journal, 2020.
Language: Python - Size: 20.5 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2
