Researchers at the University of California San Diego were selected for a $5 million award from the U.S. Department of Energy ...

Abstract: A dynamic method to solve the general Nonlinear Programming (NLP) problem, inspired by the Lyapunov continuous-time dynamics stability theory in the control field, is proposed. The optimal ...

Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão 1010 Cidade Universitária, 05508-090 São Paulo SP, Brazil. E-mail: egbirgin@ime.usp.br ...

Group step-by-step instructions into procedures or functions. Procedural languages are commonly used for system programming tasks that require a series of actions to be carried out in a specific order ...

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...

Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, United States Chemical and Biomolecular Engineering, Tandon School of Engineering, Department of Computer ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Batch reactors are type of chemical reactors, where the reactants are loaded to ...

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...