Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

Social networks are in continuous evolution, and its spreading has attracted the interest of both practitioners and the scientific community. In the last decades, several new interesting problems have ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Calling it a “perfect fit,” Ben Londergan is eager to join Simplex Trading as the first Managing Director of Strategic Business Development. CHICAGO--(BUSINESS WIRE)--Simplex Trading, a leader in the ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

A study supported by the National Science Foundation yielded a novel method to significantly reduce the energy needed to control the temperature of photonic chips, a critical component of ...

This code is structured as a standalone tool to use as a solver for DIMACS minimum cost flow problem files. Solution is then given as a DIMACS minimum cost flow solution file optionally with flow ...

Abstract: We describe a distributed framework for resource sharing problems that arise in communications, micro-economics, and various networking applications. In particular, we consider a ...

Linear programming is the most fundamental optimization problem with applications in many areas including engineering, management, and economics. The simplex method is a practical and efficient ...

Emerging technologies make it possible for companies to hire employees in other countries to meet business needs, and even small businesses can take advantage of this hiring strategy. While a diverse, ...