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.
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 ...
c1: +1 x1 -1.5 x3 +0.5 x4 <= 0.5 c2: +1 x2 +0.5 x3 -0.5 x4 <= 0.5 ...
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 ...
Abstract: Inverse problem requiring repeated forward computation is a hard ill-posed problem. Traditional linear inversion methods like Newton method and Newton-like methods may not be optimal ...
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 ...
A simple linear solver for the simplex method in tableau form and gomory's cut. The Simplex method(Simplex Algorithm) is an approach to solving linear programming ...
In this work, a new method is presented for determining the binding constraints of a general linear maximization problem. The new method uses only objective function values at points which are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results