Abstract: This brief presents a class of optimal control for positive systems with linear nonnegative costs. First, a novel approach combining value iteration and policy iteration is presented to ...
Deep Learning with Yacine on MSN
Muon Optimizer for Dense Linear Layers – Newton-Schulz Method with Momentum Explained
Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...
Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...
Tech Xplore on MSN
RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Abstract: To accurately simulate the thin layer of linear dispersive media, an improved 3-D finite-difference time-domain (FDTD) method is proposed. The inclusion of a weak conditionally stabilized ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback