Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

In mid-December 2025, an image (archived) circulated online purportedly showing U.S. President Donald Trump using a walker as a mobility aid. Keith Edwards, a Democratic political strategist, posted ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

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.

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 ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

Your content might be great, but if AI platforms aren’t surfacing it, your audience won’t see it. As generative search reshapes the SERP, staying visible requires more than keywords and backlinks. You ...