A Theoretical Framework for Optimization Issues With Applications - KHAN, UMAIR
32,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

The overall content of this book is organized around two main parts. The first part is concerned with the modeling of optimization problems while the second part deals with the analysis of optimization problems. As introduction to the issues related to both modeling and analysis of optimization scenarios, we provide an explanatory state-of-the-art over-viewing the concepts of "Lagrange Relaxation" and "Neuron Dynamics" to explore possible answers to the various research questions concerning to different optimization issues.As proof of concept, we envisage a second order ordinary differential…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
The overall content of this book is organized around two main parts. The first part is concerned with the modeling of optimization problems while the second part deals with the analysis of optimization problems. As introduction to the issues related to both modeling and analysis of optimization scenarios, we provide an explanatory state-of-the-art over-viewing the concepts of "Lagrange Relaxation" and "Neuron Dynamics" to explore possible answers to the various research questions concerning to different optimization issues.As proof of concept, we envisage a second order ordinary differential equation and we introduce a novel approach based on Cellular Neural Network (CNN) templates optimization to derive appropriate solutions. To achieve this, we combine the concepts of "Lagrange Relaxation" and "Neuron Dynamics".
Autorenporträt
Umair Ali Khan completed his Masters from Alpen Adria University, Klagenfurt, Austria with specialization in Intelligent Transportation Systems.At Present, he is working on his PhD in power and resource awareness in visual sensor networks. His research interests include machine vision, embedded systems and visual sensor networks.