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This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...
Gauss’s principle of least constraint transforms a dynamics problem into a pure minimization framework. We show that this minimization problem is a Strongly Convex Quadratic Programming (SCQP) problem ...
Dempe, S., Dinh, N. and Dutta, J. (2010) Optimality Conditions for a Simple Convex Bilevel Programming Problem. In Burachik, R. and Yao, J.C., Eds., Variational ...
Quadratic combines AI, programming capabilities, and real-time data integration into a user-friendly, browser-based spreadsheet platform, transforming traditional data analysis workflows.
Discover Quadratic: The AI spreadsheet platform with Python integration, real-time collaboration, and advanced data visualization.
This research formulates the medical staff's scheduling and vacation control problems as constrained mixed integer quadratic programming problems. Computational results indicate that the proposed ...
Proportional representation could help restore American democracy.
Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis. - Sheng254/DP-Heuristic ...
OpenAI on Friday unveiled a new artificial intelligence system, OpenAI o3, which is designed to “reason” through problems involving math, science and computer programming.
A study says that engineers who use the popular AI programming assistant GitHub Copilot don't experience any significant gains in efficiency.
Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...
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