Classics
in
Applied
Mathematics
(continued)
Cornelius
Lanczos, Linear
Differential
Operators
Richard
Bellman, Introduction
to
Matrix
Analysis,
Second Edition
Beresford
N.
Parlett,
The
Symmetric Eigenvalue Problem
Richard
Haberman,
Mathematical
Models:
Mechanical
Vibrations,
Population
Dynamics,
and
Traffic
Flow
Peter
W.
M.
John,
Statistical
Design
and
Analysis
of
Experiments
Tamer
Basar
and
Geert
Jan
Olsder,
Dynamic
Noncooperative
Game Theory, Second
Edition
Emanuel Parzen, Stochastic Processes
Petar
Kokotovic,
Hassan
K.
Khalil,
and
John
O'Reilly,
Singular
Perturbation
Methods
in
Control: Analysis
and
Design
Jean
Dickinson
Gibbons,
Ingram
Olkin,
and
Milton
Sobel,
Selecting
and
Ordering
Populations:
A New
Statistical Methodology
James
A.
Murdock,
Perturbations:
Theory
and
Methods
Ivar
Ekeland
and
Roger
Temam,
Convex Analysis
and
Variationai Problems
Ivar
Stakgold,
Boundary Value Problems
of
Mathematical
Physics,
Volumes
I and II
J.
M.
Ortega
and W. C.
Rheinboldt,
Iterative Solution
of
Nonlinear
Equations
in
Several
Variables
David Kinderlehrer
and
Guido
Stampacchia,
An
Introduction
to
Variationai
Inequalities
and
Their Applications
F.
Natterer,
The
Mathematics
of
Computerised
Tomography
Avinash
C. Kak and
Malcolm Slaney, Principles
of
Computerized
Tomographic Imaging
R.
Wong,
Asymptotic Approximations
of
Integrals
O.
Axelsson
and V. A.
Barker, Finite Element Solution
of
Boundary Value
Problems:
Theory
and
Computation
David
R.
Brillinger, Time Series:
Data
Analysis
and
Theory
Joel
N.
Franklin,
Methods
of
Mathematical
Economics: Linear
and
Nonlinear
Programming, Fixed-Point Theorems
Philip
Hartman,
Ordinary
Differential
Equations,
Second Edition
Michael
D.
Intriligator, Mathematical
Optimisation
and
Economic Theory
