Nonlinear programming: sequential unconstrained minimization techniques
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Philadelphia, Pa.
Society for Industrial and Applied Mathematics
1990
|
| Series: | Classics in applied mathematics
4 |
| Subjects: | |
| Online Access: | TUM01 UBW01 UBY01 UER01 Volltext |
| Item Description: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 196-201) and indexes Chapter 1. Introduction -- Chapter 2. Mathematical programming theory -- Chapter 3. Interior point unconstrained minimization techniques -- Chapter 4. Exterior point unconstrained minimization techniques -- Chapter 5. Extrapolation in unconstrained minimization techniques -- Chapter 6. Convex programming -- Chapter 7. Other unconstrained minimization techniques -- Chapter 8. Computational aspects of unconstrained minimization algorithms -- Author index -- Subject index Recent interest in interior point methods generated by Karmarkar's Projective Scaling Algorithm has created a new demand for this book because the methods that have followed from Karmarkar's bear a close resemblance to those described. There is no other source for the theoretical background of the logarithmic barrier function and other classical penalty functions. Analyzes in detail the "central" or "dual" trajectory used by modern path following and primal/dual methods for convex and general linear programming. As researchers begin to extend these methods to convex and general nonlinear programming problems, this book will become indispensable to them |
| Physical Description: | 1 Online-Ressource (xvi, 210 Seiten) |
| ISBN: | 0898712548 9780898712544 |
| DOI: | 10.1137/1.9781611971316 |
Staff View
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| 500 | |a Chapter 1. Introduction -- Chapter 2. Mathematical programming theory -- Chapter 3. Interior point unconstrained minimization techniques -- Chapter 4. Exterior point unconstrained minimization techniques -- Chapter 5. Extrapolation in unconstrained minimization techniques -- Chapter 6. Convex programming -- Chapter 7. Other unconstrained minimization techniques -- Chapter 8. Computational aspects of unconstrained minimization algorithms -- Author index -- Subject index | ||
| 500 | |a Recent interest in interior point methods generated by Karmarkar's Projective Scaling Algorithm has created a new demand for this book because the methods that have followed from Karmarkar's bear a close resemblance to those described. There is no other source for the theoretical background of the logarithmic barrier function and other classical penalty functions. Analyzes in detail the "central" or "dual" trajectory used by modern path following and primal/dual methods for convex and general linear programming. As researchers begin to extend these methods to convex and general nonlinear programming problems, this book will become indispensable to them | ||
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| indexdate | 2024-07-10T00:10:18Z |
| institution | BVB |
| isbn | 0898712548 9780898712544 |
| language | English |
| lccn | 90009658 |
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| physical | 1 Online-Ressource (xvi, 210 Seiten) |
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| publishDate | 1990 |
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| spelling | Fiacco, Anthony V. 1928-2013 Verfasser (DE-588)118109189 aut Nonlinear programming sequential unconstrained minimization techniques Anthony V. Fiacco, Garth P. McCormick Philadelphia, Pa. Society for Industrial and Applied Mathematics 1990 1 Online-Ressource (xvi, 210 Seiten) txt rdacontent c rdamedia cr rdacarrier Classics in applied mathematics 4 Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 196-201) and indexes Chapter 1. Introduction -- Chapter 2. Mathematical programming theory -- Chapter 3. Interior point unconstrained minimization techniques -- Chapter 4. Exterior point unconstrained minimization techniques -- Chapter 5. Extrapolation in unconstrained minimization techniques -- Chapter 6. Convex programming -- Chapter 7. Other unconstrained minimization techniques -- Chapter 8. Computational aspects of unconstrained minimization algorithms -- Author index -- Subject index Recent interest in interior point methods generated by Karmarkar's Projective Scaling Algorithm has created a new demand for this book because the methods that have followed from Karmarkar's bear a close resemblance to those described. There is no other source for the theoretical background of the logarithmic barrier function and other classical penalty functions. Analyzes in detail the "central" or "dual" trajectory used by modern path following and primal/dual methods for convex and general linear programming. As researchers begin to extend these methods to convex and general nonlinear programming problems, this book will become indispensable to them Nonlinear programming Mathematical optimization Algorithms Nichtlineare Optimierung (DE-588)4128192-5 gnd rswk-swf Nichtlineare Optimierung (DE-588)4128192-5 s DE-604 MacCormick, Garth P. Sonstige (DE-588)171146492 oth Erscheint auch als Druck-Ausgabe, Paperback 0898712548 Erscheint auch als Druck-Ausgabe, Paperback 9780898712544 Classics in applied mathematics 4 (DE-604)BV040633091 4 https://doi.org/10.1137/1.9781611971316 Verlag Volltext |
| spellingShingle | Fiacco, Anthony V. 1928-2013 Nonlinear programming sequential unconstrained minimization techniques Classics in applied mathematics Nonlinear programming Mathematical optimization Algorithms Nichtlineare Optimierung (DE-588)4128192-5 gnd |
| subject_GND | (DE-588)4128192-5 |
| title | Nonlinear programming sequential unconstrained minimization techniques |
| title_auth | Nonlinear programming sequential unconstrained minimization techniques |
| title_exact_search | Nonlinear programming sequential unconstrained minimization techniques |
| title_full | Nonlinear programming sequential unconstrained minimization techniques Anthony V. Fiacco, Garth P. McCormick |
| title_fullStr | Nonlinear programming sequential unconstrained minimization techniques Anthony V. Fiacco, Garth P. McCormick |
| title_full_unstemmed | Nonlinear programming sequential unconstrained minimization techniques Anthony V. Fiacco, Garth P. McCormick |
| title_short | Nonlinear programming |
| title_sort | nonlinear programming sequential unconstrained minimization techniques |
| title_sub | sequential unconstrained minimization techniques |
| topic | Nonlinear programming Mathematical optimization Algorithms Nichtlineare Optimierung (DE-588)4128192-5 gnd |
| topic_facet | Nonlinear programming Mathematical optimization Algorithms Nichtlineare Optimierung |
| url | https://doi.org/10.1137/1.9781611971316 |
| volume_link | (DE-604)BV040633091 |
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