Computer science - Algorithms, Complexity, Programming: An algorithm is a specific procedure for solving a well-defined computational problem. The development and analysis of algorithms is fundamental to all aspects of computer science: artificial intell
Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms 来自 Elsevier 喜欢 0 阅读量: 96 作者:M Zolfpour-Arokhlo,A Selamat,SZM Hashim,H Afkhami 摘要: AbstractIn this paper, a new model for a route planning system based ...
This is a list of links to different freely available learning resources about computer programming, math, and science. Table of contents AI Machine Learning Large Language Models Mathematics for Machine Learning Reinforcement learning Computer Games AI Algorithms Art Biology Command Line and Tools ...
machine-learningoptimizationjuliaadmmoptimal-controlproximal-algorithmsproximal-operatorsnumerical-optimizationoptimization-algorithmsnonlinear-programmingnonsmooth-optimizationproximal-gradient-method UpdatedJan 5, 2025 Julia Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous...
With the help of R language, you can implement various machine learning algorithms such as Linear Regression, Decision Tree, and Naïve Bayes. Going ahead in this R Programming Tutorial, we will see which companies are using R and for what purpose. ...
topic modelingtrend analysisCompetitive programming (CP) is a mind sports activity where people solve problems using command-line computer programs to provide correct output for the given test cases. Competitors need to practice problem-solving and mathematics as well as study algorithms and data ...
Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications 来自 EBSCO 喜欢 0 阅读量: 132 作者: CHRISTODOULOS A. FLOUDAS,XIAOXIA LIN 摘要: This paper reviews the advances of mixed-integer linear programming (MILP) based approaches for the scheduling of chemical ...
Linear programming is a mathematical programming technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints [57]. It solves the optimization problem using algorithms such as the primal simplex algorithm, the dual simplex algorithm, and the...
Advancements in deep learning algorithms, architectures, and hardware now enable DNNs to boast near-human—and in some cases—supra-human capabilities. This performance, however, comes at tremendous computational cost in terms of time and energy consumption. A distributed implementation of AlphaGo, ...
optimization linear-programming rust-lang semidefinite-programming optimization-algorithms quadratic-programming convex-optimization interior-point-method conic-programs conic-optimization Updated Sep 12, 2024 Rust cvanaret / Uno Star 260 Code Issues Pull requests Discussions A next-gen solver for nonconv...