IEEE

Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise Compensation

Abstract: Weight learning forms a basis for the machine learning and numerous algorithms have been adopted up to date. Most of the algorithms were either developed in the stochastic framework or aimed ...
IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
Scientific Research Publishing

Klee, V. and Minty, G. (1972) How Good Is the Simplex Algorithm? In Inequalities. Academic Press, New York.

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...
GitHub

RegElk - OCaml Linear Engine for JavaScript Regexes

This is a linear regular expression engine for a subset of JavaScript regexes. The underlying algorithm is an extension of the PikeVM, supporting more JavaScript features. This engine implements the ...