Quantum computing should be viewed as a powerful new tool for solving specific classes of exceptionally difficult problems.​ ...

Ferromagnetic superconductivity with excitonic Cooper pairs: Application to Γ-valley twisted semiconductors The challenge of scaling digital computing motivates innovation, especially through the ...

Recently, a friend asked me a question that's been floating around every boardroom and business school: "With AI writing code, does programming still matter?" It's a fair question. Generative AI can ...

Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...