Abstract: In this study, optimization methods for the design of the compact and broadband adiabatic couplers are presented. Two definitions of an uncoupled waveguide system are introduced: the first ...

LSEG has introduced its Market Risk Optimisation service, a new post-trade tool designed to help FX options traders more efficiently manage market risk while improving liquidity and reducing ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

When writing or testing Python scripts, your terminal can quickly become cluttered with logs, debug messages, and outputs. A clean console not only improves readability but also helps you stay focused ...

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 ...

Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...