Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

JavaScript is a programming language that developers use to make interactive webpages. JavaScript has made webpages and web applications dynamic. It is responsible for refreshing social media feeds, ...

RiverWare optimization can simultaneously solve over multiple reservoirs and multiple time periods with objectives such as maximizing hydropower value and balancing reservoir operations and impacts.

A comprehensive Model Context Protocol (MCP) server for solving Constraint Satisfaction Problems (CSP), Linear Programming (LP), Minimax optimization, and SciPy-powered advanced optimization problems.

Scientists have used a CPLEX-based MIP model and tested it on a section of the 10 MW Masdar City Solar Photovoltaic Plant. In their simulation, they assume the use of two robotic cleaners to operate ...

Microsoft’s Experimental Optical Computer Could Run AI Workloads With Less Energy Your email has been sent Research conducted by the Microsoft Research lab in Cambridge could contribute to the ...