Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

We have looked at how to solve equations with one unknown value, but what happens when there are two unknown values? An equation with two unknown values will have infinitely many solutions. or \(x=100 ...

Simultaneous equations are two linear equations that can be solved using bar models. By remembering that the same letter will always have the same value we can work out the missing values. To solve ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Abstract: In this article, we consider a linear-quadratic optimal control problem of mean-field stochastic differential equation with jump diffusion, which is also called as an mean-field ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, ...

Abstract: The residual stress inside a component is one of the main factors affecting its material property and manufacturing quality, such as geometric stability and fatigue life. It is important to ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...