This is to announce the forthcoming series of online lectures on the subject of Polynomial Optimization and Applications, within the Marie-Curie ITN Network POEMA (Polynomial Optimization, Efficiency ...

Businesses face a difficult problem in allocating scarce resources under conditions of uncertainty. Far too often in practice, optimization models are built assuming, implicitly, that the data or ...

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

Abstract: The purpose of this tutorial is to provide with basic knowledge of recent advances in intelligent optimization and control techniques, and how they are combined with knowledge elements in ...

Currently OptimizationManopt is significantly under-documented and isn't really showcased. There should be something that is bumped up to being a tutorial, i.e. an actual top level tutorial of the ...

optimizer = optimization.OptimizerGeneric(problem) res = optimizer.optimize(tol=1e-9) producing a merit function value of 0.288. However, on my setup, running: res = optimizer.optimize(tol=1e-6) ...

In this episode of Uncanny Valley, we hear directly from Sahil Lavingia, who published a tell-all blog post about his 55-day stint at DOGE. Gear can make or break your home office setup. Here’s our ...