Matrix inequalities and means are important topics in linear algebra and functional analysis, with applications in various fields such as optimization, control theory, and statistics. Recent ...

Lastly, the exploitation of the constant trace property in large-scale polynomial optimization has emerged as a key area of focus. This approach allows for the efficient solving of semidefinite ...

Abstract: Chordal graphs play a central role in techniques for exploiting sparsity in large semidefinite optimization problems, and in related convex optimization problems involving sparse positive ...

2021 was another busy year for mergers and acquisitions in and around the restaurant industry, from Capriotti’s Sandwich Shop buying Wing Zone on Jan. 4 to Jack in the Box buying Del Taco on Dec ...

Real-world insights into immune-related adverse events (irAE) in gastrointestinal (GI) malignancies. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers Symposium. This ...

Although the problem is non-convex and challenging to solve, we propose an efficient alternating optimization algorithm based on semidefinite relaxation and successive convex approximation techniques ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Positive News is the media brand for rigorous journalism about what’s going right. We report socially relevant and uplifting stories of progress – ranging from the global boom in renewable energy to ...

A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and ...

Data assimilation (DA) is a mathematical family of methods that allows the combination of observations and models. The model is used to fill observational gaps, and the observations constrain the ...