Abstract: The quadratic knapsack problem (QKP) with constraints has been a focus of attention in combinatorial optimization, where traditional exact algorithms face difficulties in solving large-scale ...
Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. White House draws out mass federal firings timeline as GOP grows squeamish in funding ...
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Rep. Gimenez: "I Really Don't Have Much Of A Problem" With Trump Using Shutdown To "Right-Size" Federal Workforce
Rep. Carlos Gimenez (R-FL) on Thursday told CNN anchor John Berman we "have way too many workers" in the federal workforce and would not oppose using a government shutdown to downsize. China has ‘not ...
YouTube TV needs to renew its carriage contract with NBCUniversal. The service is reportedly frustrated with the high rates it pays, and wants to leverage its size for a better deal. The companies ...
Newer models can be tested on a wider set of mathematical problems, and there’s also potential to combine ChatGPT with dynamic geometry systems or theorem provers, creating richer digital environments ...
Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, People's Republic of China University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China ...
For years, John Alle complained to Los Angeles officials about homelessness. Now, fed up, he’s trying to make a dent in the problem on his own. For years, John Alle complained to Los Angeles officials ...
If this stock market were a house, it would look great from the outside but its dimensions would raise architectural concerns.
Ashely Claudino is an Evergreen Staff Writer from Portugal. She has a Translation degree from the University of Lisbon (2020, Faculty of Arts and Humanities). Nowadays, she mostly writes Fortnite and ...
Researchers built a “Swarm Oracle” of robots that collectively agreed on sensor data under adversarial attacks. The system uses a reputation token model to penalize faulty robots and reward accurate ...
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