Algorithm Descriptions Some details about the optimization techniques are as follows. Trust Region Optimization (TRUREG) The trust region method uses the gradient and the Hessian matrix ; thus, it ...

Automatic guided vehicles dispatching problem (AGVDP) has important applications in matrix production workshop. In this paper, we present a mathematical model for the AGVDP. Then, a new violating time ...

This paper establishes a fast well placement optimization workflow considering the practical application needs of oilfield production. The basic process involves establishing the Matrix Directional ...

To address these challenges, this paper proposes a matrix-driven adaptive dual-space evolutionary optimization algorithm, referred to as MaKAM. The MaKAM algorithm aims to compute the similarity ...

This project implements matrix multiplication optimization using Strassen's algorithm, a divide-and-conquer approach that reduces the complexity of matrix multiplication from (O(n^3)) to approximately ...

Discovering-faster-matrix-multiplication-algorithm-with-optimization Inspired by the outstanding paper "AlphaTensor: Discovering faster matrix multiplication algorithms with reinforcement learning" , ...

Learn some of the best ways to use matrix operations in algorithms, such as choosing the right data structure, using built-in functions and libraries, applying matrix properties and rules, testing ...

One reason to use matrix factorization for dimensionality reduction is to reduce the amount of data that algorithms need to process and store. This can make the algorithms faster, more efficient ...