Introduction to Nonsmooth Optimization

Adil Bagirov (), Napsu Karmitsa () and Marko M. Mäkelä ()
Additional contact information
Adil Bagirov: University of Ballarat School of Information Technology & Mat
Napsu Karmitsa: University of Turku Department of Mathematics and Statistics
Marko M. Mäkelä: University of Turku

in Springer Books from Springer

Date: 2014
Edition: 2014
ISBN: 978-3-319-08114-4
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Citations: View citations in EconPapers (30)

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Chapters in this book:

Ch Chapter 1 Theoretical Background

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 10 Subgradient Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 11 Cutting Plane Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 12 Bundle Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 13 Gradient Sampling Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 14 Hybrid Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 15 Discrete Gradient Methods

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 16 Constraint Handling

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 17 Numerical Comparison of NSO Softwares

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 2 Convex Analysis

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 3 Nonconvex Analysis

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 4 Optimality Conditions

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 5 Generalized Convexities

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 6 Approximations of Subdifferentials

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 7 Practical Problems

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 8 SemiAcademic Problems

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

Ch Chapter 9 Academic Problems

Adil Bagirov, Napsu Karmitsa and Marko M. Mäkelä

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DOI: 10.1007/978-3-319-08114-4

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