Combinatorial, Linear, Integer and Nonlinear Optimization Apps COLINA Grande

This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students in engineering and mathematics. The formulation of optimization problems is founded through concepts and techniques from operations research: Combinatorial Optimiza...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: MacGregor Smith, J., autor (autor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2021.
Edición:1st ed. 2021.
Colección:Springer eBooks.
Springer Optimization and Its Applications, 175.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45845955*spi
Descripción
Sumario:This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students in engineering and mathematics. The formulation of optimization problems is founded through concepts and techniques from operations research: Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN). Computer Science (CS) is also relevant and important given the applications of algorithms and Apps/algorithms (A) in solving optimization problems. Each chapter provides an overview of the main concepts of optimization according to COLINA, providing examples through App Inventor and AMPL software applications. All apps developed through the text are available for download. Additionally, the text includes links to the University of Wisconsin NEOS server, designed to handle more computing-intensive problems in complex optimization. Readers are encouraged to have some background in calculus, linear algebra, and related mathematics.
Descripción Física:XXI, 259 páginas : 214 ilustraciones, 191 ilustraciones (color)
Formato:Forma de acceso: World Wide Web.
ISBN:9783030758011