Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...

When working with minimal APIs in ASP.NET Core, you can define routes for the HTTP verbs using mapping methods such as MapGet, MapPut, MapPost, and MapDelete. While these methods allow you to route ...

The standard view of housing markets holds that differences in the flexibility of local housing supply shaped by factors like geography and regulation—explain differences in how house price and ...

Abstract: In this article, two types of multiagent systems (MASs) are developed for distributed bilevel constrained optimization. Within the framework of the distributed bilevel optimization modeling, ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Other presidents have occasionally claimed a constitutional right to bypass particular laws. But in the opening weeks of his second term, President Trump and his administration have opened the ...