Abstract: The present work proposes a methodology to the problem of short-term economic dispatch of radial and meshed power systems by means of nonlinear programming (NLP). The problem posed will be ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

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This puzzle looks like it needs calculus… but you’re not allowed to use it. I explore alternative methods to get the answer only using basic math tools. 8 million inflation refund checks sent out ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

Abstract: Managing cardiac disease and abnormal heart rate variability remain challenging problems with an enormous economic and psychological impact worldwide. Consequently, the purpose of this paper ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...

Mathematical reasoning remains one of the most complex challenges in AI. While AI has advanced in NLP and pattern recognition, its ability to solve complex mathematical problems with human-like logic ...