Optimization

Go to Listing by Author

Algorithms for Worst-Case Design and Applications to Risk Management.
B. Rustem and M. Howe.

Control Theoretic Splines:
Optimal Control, Statistics, and Path Planning.
M. Egerstedt and C. Martin.

Convex Analysis.
R.T. Rockafellar.

Fundamental Papers in Wavelet Theory.
C. Heil and D.F. Walnut.

Linear Inequalities and Related Systems. (AM-38).
H.W. Kuhn and A.W. Tucker.

Linear Programming and Extensions.
G. Dantzig.

Local Search in Combinatorial Optimization.
E. Aarts and J.K. Lenstra, eds.

Max Plus at Work:
Modeling and Analysis of Synchronized Systems: A Course on Max-Plus Algebra and Its Applications.
B. Heidergott, G.J. Olsder, et al.

Nonlinear Optimization.
A. Ruszczynski.

Optima for Animals.
R.M. Alexander.

Optimization: Insights and Applications.
J. Brinkhuis and V. Tikhomirov.

Optimization Algorithms on Matrix Manifolds.
P. Absil, R. Mahony, et al.

Probability, Markov Chains, Queues, and Simulation:
The Mathematical Basis of Performance Modeling.
W.J. Stewart.

Robust Optimization.
A. Ben-Tal, L. El Ghaoui, et al.

Self-Regularity:
A New Paradigm for Primal-Dual Interior-Point Algorithms.
J. Peng, C. Roos, et al.

The Traveling Salesman Problem:
A Computational Study.
D. Applegate, R. Bixby, et al.

When Least Is Best:
How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible.
P.J. Nahin.

Return to Mathematics Home Page

File created: 6/5/2009

Questions and comments to: webmaster@press.princeton.edu
Princeton University Press