Author(s) | Book |
---|---|
Stephen Nash School of Information Technology and Engineering Science & Technology II, Room 160 George Mason University Fairfax, VA 22030-4444 phone: 703-993-1678, fax: 703-993-1521 (snash@gmu.edu) Ariela Sofer Department of Operations Research and Engineering MS4A6 George Mason University 4400 University Drive Fairfax, VA 22030-4444 Phone: 703-993-1692, Fax: 703-993-1521 (asofer@gmu.edu) |
Linear
and Nonlinear Programming
McGraw-Hill, (McGraw-Hill Series in Industrial Engineering and Management Science) 1996 ISBN-07-046005-5 692 pages, Price: $78.12 Table of Contents Part II: Linear Programming (Chapters 4-9) Part III: Unconstrained Optimization (Chapters 10-13) Part IV: Nonlinear Programming (Chapters 14-17) Appendix A. Topics from Linear Algebra Appendix B. Other Fundamentals Appendix C. Software Appendix D. Bibliography Appendix E. Index |
Nazareth, J.L.,
Washington State University, Pullman, WA 99164-3113, E-mail: nazareth@amath.washington.edu |
Computer Solution of Linear Programs
Oxford University Press, New York and Oxford, 1987 |
Nazareth, J.L.,
Washington State University, Pullman, WA 99164-3113, E-mail: nazareth@amath.washington.edu |
The DLP Optimization Model and Decision Support System.
CDSS - Computational Decision Support Systems, 1997. CDSS, P.O. Box 10509, Bainbridge Island (Seattle), WA 98110, USA. ISBN 0-9657375-0-0 |
Nemhauser, G.L.,
Georgia Institute of Technology Rinnooy Kan, A.H.G., Erasmus University Rotterdam Todd, M.J., Cornell University |
Optimization
Handbooks in Operations Research and Management Science, Vol.1. Elsevier Science Publishers B.V. North-Holland, Amsterdam, pp.(ix+709), 1989 ISBN 0-444-87284-1 Contents A View of Unconstrained Optimization II. D. Goldfarb, M.J. Todd, Linear Programming III. P.E. Gill, W. Murray, M.A. Saunders, M.H. Wright, Constrained Nonlinear Programming IV. R.K. Ahuja, T.L. Magnanti, J.B. Orlin, Network Flows V. W.R. Pulleyblank, Polyhedral Combinatorics VI. G.L. Nemhauser, L.A. Wolsey, Integer Programming VII. C. Lemarechal, Nondifferentiable Optimization VIII. R.J.-B. Wets, Stochastic Programming IX. A.H.G. Rinnooy Kan, G.T. Timmer, Global Optimization X. P.L. Yu, Multiple Criteria Decision Making: Five Basic Concepts Subject Index |
Nering, E.D.,
Tucker, A.W. |
Linear Programs and Related Problems
Academic Press, 1993 |
Yurii Nesterov
Central Economic and Mathematical Institute, Moscow. Arkadii Nemirovskii Central Economic and Mathematical Institute, Moscow. | Interior Point Polynomial Methods in Convex Programming
SIAM - Studies in Applied Mathematics 13, 1994 SIAM / ix + 405 pages ISBN 0-89871-319-61994 Price $77.50 (SIAM Member Price $62.00) Contents Chapter 1: Self-Concordant Functions and Newton Method; Chapter 2: Path-Following Interior-Point Methods; Chapter 3: Potential Reduction Interior-Point Methods; Chapter 4: How to Construct Self- Concordant Barriers; Chapter 5: Applications in Convex Optimization; Chapter 6: Variational Inequalities with Monotone Operators; Chapter 7: Acceleration for Linear and Linearly Constrained Quadratic Problems; Bibliography; Appendix 1; Appendix 2. |
Jorge Nocedal
Stephen J. Wright | Numerical Optimization.
Springer Series in Operations Research Hardcover - 600 pages (August 27, 1999) Springer Verlag; ISBN: 0387987932 ; Dimensions (in inches): 1.46 x 9.48 x 7.31 Price (Amazon.com) : $64.95 Contents 1 Introduction 2 Fundamentals of Unconstrained Optimization 3 Line Search Methods 4 Trust-Region Methods 5 Conjugate Gradient Methods 6 Practical Newton Methods 7 Calculating Derivatives 8 Quasi-Newton Methods 9 Large Scale Quasi-Newton Methods 10 Nonlinear Least-Squares Problems 11 Nonlinear Equations 12 Theory of Constrained Optimization 13 Linear Programming: The Simplex Method 14 Linear Programming: Interior-Point Methods |