Abstract: A swarm-exploring neurodynamic network (SENN) based on a two-timescale model is proposed in this study for solving nonconvex nonlinear programming problems. First, by using a ...

Graduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil Graduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil Faculty of Chemical ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

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 ...

Microsoft’s object-oriented programming language for .NET development had the largest increase in popularity, gaining on Java, C++, C, and Python. As expected, Microsoft’s C# language has won the ...

Abstract: The review of this book is centered on the sheer quality and profoundness with which the author guides a reader through all aspects of solving a general optimal control problem numerically.

ABSTRACT: The aim of this paper is to reduce the losses, total generation cost by switching of transmission line and to maintain voltage security under N- 1 contingency conditions. Generation cost is ...