Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

Two years ago, when visiting research colleagues in Uppsala, Sweden, we were asked a deceptively simple question: “What does it mean to program?” For context, one of us had just completed academic ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

ARLINGTON, VA; April 1, 2025— This Spring and early Summer, PBS will celebrate science and nature programming with dramatic stories, transformative journeys, explorative investigations, and more. From ...

From IDE plugins to external chatbots and running LLMs locally, these new and emerging tools are bringing the generative AI revolution to R. My previous article focused on some of the best tools for ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...