Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

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.

# Set up your simplex tableau here. Set vector v below to all the entries in the matrix starting at (1,1) and move down # the columns as you enter all values. For example, the first three entries ...

ABSTRACT: 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 ...

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 ...

SimplexCPP is a c++ library that helps solves `Linear Programming Equations` i.e Maximization problems, easily also providing you with neat results.

Abstract: Non-orthogonal multiple access (NOMA) systems have the potential to deliver higher system throughput, compared with contemporary orthogonal multiple access techniques. For a linearly ...

Prophylactic treatment with oral antiviral agents appeared to dramatically decrease the recurrence of herpes simplex virus eye disease even while incidence remained stable, according to a long-term ...