At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...
AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...
A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and ...
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 ...
Getting good at LeetCode Java isn’t just about solving problems; it’s about having a good plan. You need to know where to ...
GraphiQ is an open-source framework for designing photonic graph state generation schemes. Photonic graph states are an important resource for many quantum information processing tasks including ...
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