Computational Science

Go to Listing by Author

Computational Economics.
D.A. Kendrick, P.R. Mercado, et al.

Digital Dice:
Computational Solutions to Practical Probability Problems.
P.J. Nahin.

Discrete and Computational Geometry.
S.L. Devadoss and J. O'Rourke.

A First Course in Scientific Computing:
Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90.
R.H. Landau.

In Pursuit of the Traveling Salesman:
Mathematics at the Limits of Computation.
W. Cook.

Introduction to Computational Science:
Modeling and Simulation for the Sciences.
A.B. Shiflet and G.W. Shiflet.

Mathematics for Physics and Physicists.
W. Appel.

Mathematics of Wave Propagation.
J.L. Davis.

Modeling with Data:
Tools and Techniques for Scientific Computing.
B. Klemens.

Number-Crunching:
Taming Unruly Computational Problems from Mathematical Physics to Science Fiction.
P.J. Nahin.

Numerical Algorithms for Personalized Search in Self-organizing Information Networks.
S. Kamvar.

Numerical Analysis.
L.R. Scott.

Numerical Methods for Stochastic Computations:
A Spectral Method Approach.
D. Xiu.

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.

Scientific Parallel Computing.
L.R. Scott, T. Clark, et al.

A Survey of Computational Physics:
Introductory Computational Science.
R.H. Landau, J. Páez, et al.

Validated Numerics:
A Short Introduction to Rigorous Computations.
W. Tucker.

Return to Mathematics Home Page

File created: 3/16/2012

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