Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...
D-Wave Quantum Inc., a commercial supplier of quantum computing hardware and software, today announced an agreement to ...
D-Wave Quantum Inc. Q3 revenue nearly doubled as quantum adoption grows. Click for QBTS ROI use cases, revenue mix, and what ...
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...
EvoToolkit is a Python library that leverages Large Language Models (LLMs) to evolve solutions for optimization problems. It combines the power of evolutionary algorithms with LLM-based solution ...
Abstract: In this work, we propose a framework for adapting the controller's parameters based on learning optimal solutions from contextual black-box optimization problems. We consider a class of ...
Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...
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 ...
The best way to fix Americans’ cost-of-living problem is to give workers bigger raises, Federal Reserve Chair Jerome Powell said last week. The problem: That solution looks broken, too. The US job ...
As the College Football Playoff gets ready to debut on Friday, Dec. 19, there's plenty of talk about the state of college football. Between the NIL (name, image, likeness) and the NCAA Transfer Portal ...
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