books by subject
Linear Programming

Dynamic Programming (Dover Books on Computer Science)

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, ... Java And Symbolicc++ Programs (3rd Edition...

Optimization

Elementary Linear Programming with Applications

Generalized Linear Models: 37 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

IUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials: Status and Perspectives: 137 (Solid Mechanics and Its Applications, 137)

The Kadison-Singer Property: 14 (SpringerBriefs in Mathematical Physics, 14)

Handbook of Group Decision and Negotiation: 4 (Advances in Group Decision and Negotiation, 4)

Dynamic Programming: Sequential Decision Making

Linear and Nonlinear Programming: 116 (International Series in Operations Research & Management Science, 116)

Stochastic Differential Equations: An Introduction with Applications

Optimization Under Constraints: Theory and Practice of Nonlinear Programming (Wiley Series in Probability and Statistics – Applied Probability and Statistics Section)

Nonlinear Programming: 10 (Classics in Applied Mathematics, Series Number 10)

Stochastic Programming Methods and Technical Applications: Proceedings of the 3rd GAMM/IFIP-Workshop on “Stochastic Optimization: Numerical Methods ... in Economics and Mathematical Systems, 458)

Variational Principles in Physics

Semilinear Elliptic Equations for Beginners: Existence Results via the Variational Approach

Multivariate Calculus and Geometry

Partial Differential Equations & Boundary Value Problems with Maple V

An Annotated Timeline of Operations Research: An Informal History

A First Course in Optimization Theory

Elements of Linear Programming: With Economic Applications

Model Building in Mathematical Programming

Differential Equations, Dynamical Systems, and an Introduction to Chaos (Pure and Applied Mathematics (Academic Press), 60.)

Discrete Optimization Algorithms: With PASCAL Programmes

Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall series in computational mathematics)

Linear Models for Optimal Test Design (Statistics for Social and Behavioral Sciences)

New Approaches to Circle Packing in a Square: With Program Codes: 6 (Springer Optimization and Its Applications, 6)

Bayesian Computation with R (Use R)
