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: ...

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 ...

Progress in solving California’s unquestioned housing shortage can often be measured by the number of permits issued for new construction or conversions of existing office towers. Related Articles ...

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 ...

Abstract: We researches a new iterative algorithm for quadratic programming problem based on the modified Uzawa algorithm and the ALPMHSS iteration algorithm in this paper. And we obtains the ...

The Department of Homeland Security announced Thursday it will resume issuing travel authorization to migrants from Cuba, Haiti, Nicaragua and Venezuela who apply to come to the United States with the ...

The problem of approximation to a given function, or of fitting a given set of data, where the approximating function is required to have certain of its derivatives of specified sign over the whole ...