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Open Problems in Optimization and Data Analysis

Overview of attention for book
Open Problems in Optimization and Data Analysis
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 A Note on Open Problems and Challenges in Optimization Theory and Algorithms
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    Chapter 2 Social Influence-Based Optimization Problems
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    Chapter 3 New Statistical Robust Estimators, Open Problems
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    Chapter 4 Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges
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    Chapter 5 Supply and Demand Selection Problems in Supply Chain Planning
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    Chapter 6 Open Problems in Green Supply Chain Modeling and Optimization with Carbon Emission Targets
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    Chapter 7 Variants and Formulations of the Vehicle Routing Problem
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    Chapter 8 New MIP model for Multiprocessor Scheduling Problem with Communication Delays
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    Chapter 9 On Optimization Problems in Urban Transport
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    Chapter 10 Some Aspects of the Stackelberg Leader/Follower Model
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    Chapter 11 Open Research Areas in Distance Geometry
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    Chapter 12 A Circle Packing Problem and Its Connection to Malfatti’s Problem
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    Chapter 13 Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem
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    Chapter 14 On the Design of Metaheuristics-Based Algorithm Portfolios
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    Chapter 15 Integral Simplex Methods for the Set Partitioning Problem: Globalisation and Anti-Cycling
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    Chapter 16 Open Problems on Benders Decomposition Algorithm
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    Chapter 17 An Example of Nondecomposition in Data Fitting by Piecewise Monotonic Divided Differences of Order Higher Than Two
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Title
Open Problems in Optimization and Data Analysis
Published by
Springer International Publishing, October 2018
DOI 10.1007/978-3-319-99142-9
ISBNs
978-3-31-999141-2, 978-3-31-999142-9
Editors

Pardalos, Panos M., Migdalas, Athanasios

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 13%
Researcher 11 9%
Student > Doctoral Student 9 8%
Other 7 6%
Student > Master 7 6%
Other 21 18%
Unknown 49 41%
Readers by discipline Count As %
Engineering 17 14%
Mathematics 11 9%
Computer Science 11 9%
Social Sciences 6 5%
Economics, Econometrics and Finance 4 3%
Other 19 16%
Unknown 52 43%

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