ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

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. It Sits on a Vast Haul of Mineral Wealth. Now This Arctic ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

Abstract: BP neural network is using gradient descent method to continuously adjust the weights and thresholds between the input layer and the hidden layer, so that ...

This repository features a Linear Regression model built from scratch in Python, using gradient descent for parameter optimization. Includes scripts and Jupyter ...

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...

Abstract: This article deals with the identification problems of multivariable nonlinear systems. A coupled gradient algorithm is developed based on the decomposition technique. Using the Kronecker ...