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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
Attention for Chapter 1: A Note on Open Problems and Challenges in Optimization Theory and Algorithms
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Chapter title
A Note on Open Problems and Challenges in Optimization Theory and Algorithms
Chapter number 1
Book title
Open Problems in Optimization and Data Analysis
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-99142-9_1
Book ISBNs
978-3-31-999141-2, 978-3-31-999142-9
Authors

A. Migdalas, P. M. Pardalos

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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