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

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy ...

All exist, among many others, in the world of esoteric programming languages, and Daniel Temkin has written a forthcoming ...

Convergence analysis and some numerical examples are presented. A. Griewank andN. Strogies deal with an application of nonlinear programming to open pit mine planning problems. They present a ...

This technical note develops a neural dynamical approach to nonlinear programming (NP) problems, whose equilibrium points coincide with Karush-Kuhn-Tucker points of the NP problem. A rigorous analysis ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

Abstract. In this paper, some interval valued programming problems are discussed. The solution concepts are adopted fromWu [7] and Chalco-Cano et al. [34]. By considering generalized Hukuhara ...

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence.

Computational methods for fitting nonlinear models have developed considerably in the last decade. Statistical use of these techniques has, as yet, lagged somewhat behind. The present paper gives a ...

This results in a offset-free data-driven predictive control scheme formulated as a nonlinear program, but solvable via sequential quadratic programming. We provide a framework for analyzing recursive ...