Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

This work develops a topology optimization method for multi-component structures to minimize dynamic compliance under harmonic loads. While most research focuses on single-domain systems, real ...

Lawmakers are aiming to crack down on so-called “dynamic pricing” in the wake of a jaw-dropping report showing that grocery delivery app Instacart charged shoppers different prices for the same items ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Apple is expanding availability of its new 40W Dynamic Power Adapter with 60W Max to several countries that use type G plugs. The new variant of the adapter features a three-prong folding design that ...

Abstract: The challenge of dynamic multimodal optimization problems (DMMOPs) lies in tracking multiple global or locally acceptable optimal solutions in environments that change over time. Typically, ...

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ABSTRACT: This article considers the direct solution of the dynamic problem of building-foundation interaction. A mathematical model of the interaction between a building and a deformable foundation ...

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 ...