Printed from https://ideas.repec.org/b/spr/spopap/978-3-031-08720-2.html
My bibliography
Save this book
Modern Numerical Nonlinear Optimization
Author
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-08720-2
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Neculai Andrei, 2022. "Introduction," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 1, pages 1-19, Springer.
- Neculai Andrei, 2022. "Fundamentals on Unconstrained Optimization. Stepsize Computation," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 2, pages 21-80, Springer.
- Neculai Andrei, 2022. "Steepest Descent Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 3, pages 81-107, Springer.
- Neculai Andrei, 2022. "The Newton Method," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 4, pages 109-168, Springer.
- Neculai Andrei, 2022. "Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 5, pages 169-260, Springer.
- Neculai Andrei, 2022. "Quasi-Newton Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 6, pages 261-314, Springer.
- Neculai Andrei, 2022. "Inexact Newton Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 7, pages 315-330, Springer.
- Neculai Andrei, 2022. "The Trust-Region Method," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 8, pages 331-353, Springer.
- Neculai Andrei, 2022. "Direct Methods for Unconstrained Optimization," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 9, pages 355-370, Springer.
- Neculai Andrei, 2022. "Constrained Nonlinear Optimization Methods: An Overview," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 10, pages 371-382, Springer.
- Neculai Andrei, 2022. "Optimality Conditions for Nonlinear Optimization," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 11, pages 383-409, Springer.
- Neculai Andrei, 2022. "Simple Bound Constrained Optimization," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 12, pages 411-437, Springer.
- Neculai Andrei, 2022. "Quadratic Programming," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 13, pages 439-474, Springer.
- Neculai Andrei, 2022. "Penalty and Augmented Lagrangian Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 14, pages 475-519, Springer.
- Neculai Andrei, 2022. "Sequential Quadratic Programming," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 15, pages 521-567, Springer.
- Neculai Andrei, 2022. "Primal Methods: The Generalized Reduced Gradient with Sequential Linearization," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 16, pages 569-597, Springer.
- Neculai Andrei, 2022. "Interior-Point Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 17, pages 599-645, Springer.
- Neculai Andrei, 2022. "Filter Methods," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 18, pages 647-659, Springer.
- Neculai Andrei, 2022. "Interior-Point Filter Line-Search," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 19, pages 661-678, Springer.
- Neculai Andrei, 2022. "Direct Methods for Constrained Optimization," Springer Optimization and Its Applications, in: Modern Numerical Nonlinear Optimization, chapter 20, pages 679-689, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:spopap:978-3-031-08720-2. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.