Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Abstract: This article presents an inverse optimal control (IOC) approach for nonlinear polynomial systems based on adaptive dynamic programming (ADP). First, a novel model-based algorithm is ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

MATLAB code implementations for Nonlinear Programming problems, covering methods like KKT conditions, optimization algorithms, genetic algorithms and penalty function approaches.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Presumably aimed at children, NHK World’s Texico program teaches the main ideas about programming without actually using a computer. Instead, it uses items like a toy train, playing cards, and other ...

This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of a ...

Global optimization of nonlinear mixed-integer programming (MINLP) addresses decision problems in which some variables are constrained to take integer values, while the objective function or ...

A new note to investors from financial analysts at LightShed Partners poses the controversial question of whether broadcast networks should scrap entertainment programming given the long-term declines ...