Abstract: Various discrete-time zeroing neural network (DTZNN) models have been developed for solving dynamic constrained quadratic programming. However, two challenges persist within the DTZNN ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

Cal wide receiver Trond Grizzell has started 17 games for Cal, has caught 66 passes for 991 yards and six touchdowns, and is expected to be in the starting lineup for the Golden Bears’ season opener ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

A minor proprietor will observe customers who hyped about their product. They are interested in transforming this excitement into expansion. Exit, such as referral programs, e.g., the idea to give 10 ...

Coca-Cola HBC Romania is getting some pats on the back for its role in launching an ambitious recycling initiative in the country, as reported by Sustainability Magazine. The project developed a ...

This repository implements dynamic programming (DP) heuristics for solving the Quadratic Knapsack Problem (QKP). The QKP is a variant of the classical knapsack problem where the profit matrix includes ...

Introduction: Path planning algorithms are challenging to implement with mobile robots in orchards due to kinematic constraints and unstructured environments with narrow and irregularly distributed ...