Open Problems in Optimization and Data Analysis
Published on 17. December 2018
Book
Hardback
XIX, 330 pages
978-3-319-99141-2 (ISBN)
Description
Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book. Each contribution provides the fundamentals needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline.
The contributions contained in this book are based on lectures focused on "Challenges and Open Problems in Optimization and Data Science" presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.
The contributions contained in this book are based on lectures focused on "Challenges and Open Problems in Optimization and Data Science" presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.
More details
Product info
Book
Series
Edition
2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
College/higher education
Illustrations
19 s/w Abbildungen, 20 farbige Tabellen, 24 farbige Abbildungen
19 schwarz-weiße und 20 farbige Abbildungen, 20 farbige Tabellen, Bibliographie
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 25 mm
Weight
694 gr
ISBN-13
978-3-319-99141-2 (9783319991412)
DOI
10.1007/978-3-319-99142-9
Schweitzer Classification
Other editions
Additional editions
Panos M. Pardalos | Athanasios Migdalas
Open Problems in Optimization and Data Analysis
E-Book
12/2018
1st Edition
Springer
€139.09
Available for download
Content
Chapter 1- Social Influence-based Optimization Problems.- Chapter 2- New Statistical Robust Estimators, Open Problems.- Chapter 3- Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges.- Chapter 4- Supply and Demand Selection Problems in Supply Chain Planning.- Chapter 5- Open problems in green supply chain modelingband optimization with carbon emission targets.- Chapter 6- Variants and Formulations of the Vehicle Routing Problem.- Chapter 7- New MIP model for Multiprocessor Scheduling Problem with Communication Delays.- Chapter 8- On Optimization Problems in Urban Transport.- Chapter 9- Some aspects of the Stackelberg Leader/Follower Model.- Chapter 10- Open research areas in distance geometry.- Chapter 11- A Circle Packing Problem and its Connection to Malfatti's Problem.- Chapter 12- Review of basic local searches for solving the Minimum sum-of-squares clustering problem.- Chapter 13- On the Design of Metaheuristics-based Algorithm Portfolios.- Chapter 14- Integral Simplex Methods for the Set Partitioning Problem: Globalization and Anti-Cycling.- Chapter 15- Open problems on Benders Decomposition Algorithm.- Chapter 16- An Example of Nondecomposition in Data Fitting by Piecewise Monotonic Divided Differences of Order Higher than Two.