Linear and Nonlinear Programming

David G. Luenberger () and Yinyu Ye ()
Additional contact information
David G. Luenberger: Stanford University
Yinyu Ye: Stanford University

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2016
Edition: 4th ed. 2016
ISBN: 978-3-319-18842-3
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Citations: View citations in EconPapers (30)

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Chapters in this book:

Ch Chapter 1 Introduction

David G. Luenberger and Yinyu Ye

Ch Chapter 10 Quasi-Newton Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 11 Constrained Minimization Conditions

David G. Luenberger and Yinyu Ye

Ch Chapter 12 Primal Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 13 Penalty and Barrier Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 14 Duality and Dual Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 15 Primal-Dual Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 2 Basic Properties of Linear Programs

David G. Luenberger and Yinyu Ye

Ch Chapter 3 The Simplex Method

David G. Luenberger and Yinyu Ye

Ch Chapter 4 Duality and Complementarity

David G. Luenberger and Yinyu Ye

Ch Chapter 5 Interior-Point Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 6 Conic Linear Programming

David G. Luenberger and Yinyu Ye

Ch Chapter 7 Basic Properties of Solutions and Algorithms

David G. Luenberger and Yinyu Ye

Ch Chapter 8 Basic Descent Methods

David G. Luenberger and Yinyu Ye

Ch Chapter 9 Conjugate Direction Methods

David G. Luenberger and Yinyu Ye

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DOI: 10.1007/978-3-319-18842-3

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