Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Neculai Andrei ()
Additional contact information
Neculai Andrei: Academy of Romanian Scientists

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2020
ISBN: 978-3-030-42950-8
References: Add references at CitEc
Citations: View citations in EconPapers (7)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Introduction: Overview of Unconstrained Optimization

Neculai Andrei

Ch Chapter 10 Preconditioning of the Nonlinear Conjugate Gradient Algorithms

Neculai Andrei

Ch Chapter 11 Other Conjugate Gradient Methods

Neculai Andrei

Ch Chapter 12 Discussions, Conclusions, and Large-Scale Optimization

Neculai Andrei

Ch Chapter 2 Linear Conjugate Gradient Algorithm

Neculai Andrei

Ch Chapter 3 General Convergence Results for Nonlinear Conjugate Gradient Methods

Neculai Andrei

Ch Chapter 4 Standard Conjugate Gradient Methods

Neculai Andrei

Ch Chapter 5 Acceleration of Conjugate Gradient Algorithms

Neculai Andrei

Ch Chapter 6 Hybrid and Parameterized Conjugate Gradient Methods

Neculai Andrei

Ch Chapter 7 Conjugate Gradient Methods as Modifications of the Standard Schemes

Neculai Andrei

Ch Chapter 8 Conjugate Gradient Methods Memoryless BFGS Preconditioned

Neculai Andrei

Ch Chapter 9 Three-Term Conjugate Gradient Methods

Neculai Andrei

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-3-030-42950-8

Ordering information: This item can be ordered from
http://www.springer.com/9783030429508

DOI: 10.1007/978-3-030-42950-8

Access Statistics for this book

More books in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().