Artificial intelligence (AI) is reshaping work—especially in technical and knowledge-intensive fields—by automating routine tasks and increasing the value of quantitative reasoning and systems ...

Russell (Rust Scientific Library) helps develop high-performance computations involving linear algebra, sparse linear systems, numerical mathematics (continuation), differential equations, statistics, ...

Abstract: Aiming at capacity optimization of an isolated microgrid, this paper establishes a bi-level capacity optimization model that considers load demand management (LDM) while comprehensively ...

Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...

Integral calculus complements derivatives by focusing on accumulation of quantities over time or across scenarios. In finance, integrals often appear in the computation of total values, such as the ...

We present Morpho, an extensible programmable environment that uses finite elements for shape optimization in soft matter. Given an energy functional that incorporates physical boundaries and effects ...

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In today's world, where complexity abounds and challenges are multifaceted, mathematical modeling and optimization emerge as essential tools for addressing real-life phenomena. These disciplines not ...

Differential evolution (DE) is a robust optimizer designed for solving complex domain research problems in the computational intelligence community. In the present work, a multi-hybrid DE (MHDE) is ...

Becoming an AI scientist, also known as an Artificial Intelligence Scientist or Research Scientist in AI, typically requires a strong educational background, specific skills, and a passion for AI ...