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Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Trump pulls US out of more than 30 UN bodies ICE shooting ...
Frontiers

Studies of three dimensional stagged-grid finite difference for Z-axis tipper electromagnetic numerical simulation

ZTEM (Z-Axis Tipper Electromagnetic System) is a frequency-domain airborne electromagnetic exploration method that utilizes natural field sources. This method is highly efficient and capable of ...
Frontiers

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
GitHub

Feature: LOBPCG the new eigensolver

I propose the development of a new feature within our software framework: the implementation of the Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) algorithm as a general eigenvalue ...
IEEE

Spectral Conjugate Gradient Methods with the Generalized Quasi-Newton Equation

Abstract: In order to solve the global optimization problem in engineering and management, Spectral conjugate gradient methods are used in this paper. By introducing the generalized quasi-Newton ...
Scientific Research Publishing

Formulation of a Preconditioned Algorithm for the Conjugate Gradient Squared Method in Accordance with Its Logical Structure ()

1 Division of Science, School of Science and Engineering, Tokyo Denki University, Saitama, Japan. 2 Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, ...