Combinatorial Optimization and Applications Combinatorial Optimization and Applications
International Series in Operations Research & Management Science

Combinatorial Optimization and Applications

A Tribute to Bernard Gendron

    • USD 149.99
    • USD 149.99

Descripción editorial

Combinatorial Optimization represents a major component of Operations Research, Mathematical Programming, and, in a broader sense, the development of digital intelligence (and society). It covers, in particular, such important areas as network design, location, routing, and scheduling, with major applications in transportation, logistics, health systems, production, communications, and energy.
Starting from the exceptional contribution Professor Bernard Gendron made to combinatorial optimization and its applications in multiple areas, the book presents a state-of-the-art view on the field through a combination of surveys, expository articles, and focused methodological and applied research. The authors hail from various Operations Research areas and institutions around the world. Having collaborated closely with Professor Gendron, they drew on his foundational work to showcase a variety of models and algorithms that draw a living picture of the multifaceted word of applied combinatorial optimization.

GÉNERO
Negocios y finanzas personales
PUBLICADO
2024
27 de junio
IDIOMA
EN
Inglés
EXTENSIÓN
519
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
24.2
MB
Outsourcing Using Operations Research and Management Science Methods Outsourcing Using Operations Research and Management Science Methods
2025
Outsourcing Outsourcing
2025
Machine Learning Technologies on Energy Economics and Finance Machine Learning Technologies on Energy Economics and Finance
2025
Machine Learning Technologies on Energy Economics and Finance Machine Learning Technologies on Energy Economics and Finance
2025
University-Industry Collaboration University-Industry Collaboration
2025
The Unaffordable Price of Static Decision-making Models The Unaffordable Price of Static Decision-making Models
2025