Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

Your browser does not support the audio element. Python is a highly popular programming language, widely used in various fields like software development, data ...

I am here to ask a question about the QuantLib wrapper in Python. I would like to use the G2 class to have a Two-additive-factor Gaussian model and I would like to ...

The present paper focuses on the optimization of large-flow coefficient centrifugal compressors, utilizing a mature centrifugal compressor impeller with a flow coefficient of 0.16 under design point ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

Abstract: Due to the pivotal role of metamaterial absorbers in enhancing electromagnetic (EM) wave control and management, the optimization for metamaterial absorbers has garnered increasing attention ...