We study a class of integer bilevel problems, the so-called Integer Linear Multiplicative Bilevel Problem, ILMBP, where the constraints are linear and both the upper level problem and the lower level ...

A Chinese artificial intelligence framework has autonomously resolved an open problem proposed more than a decade ago by a US mathematician, according to the Peking University-led team that developed ...

Huizenga College of Business, Nova Southeastern University, Fort Lauderdale, FL, USA. Silver ETFs are exchange-traded funds of silver mining stocks. This paper posits that investor sentiment toward ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Researchers tested a research-based intervention with English learners with math difficulty. The intervention proved to boost comprehension and help students synthesize and visualize information, ...

In March 2025, mathematician Daniel Litt made a bet. Despite the march of progress of artificial intelligence in many fields, he believed his subject was safe, wagering with a colleague that there was ...

GPT just keeps getting better at mathematics, increasingly solving the trickiest of problems. In January, AI testing company Epoch AI found that a previous version of the AI model, GPT-5.2 Pro had ...

OptiMind is a specialized language model that translates natural-language problem descriptions directly into solver-ready mathematical optimization formulations. This removes one of the most expertise ...

Abstract: This paper investigates the capabilities of large language models (LLMs) in formulating and solving decision-making problems using mathematical programming. We first conduct a systematic ...

Dr. Clayton is a mathematician. Candidates for quantitative jobs — like those on Wall Street or in Silicon Valley — are sometimes asked offbeat questions such as: How many Ping-Pong balls fit in a 747 ...