Information architecture

Kalman's elegant solution of the discrete linear estimation problem has had a major impact in academic engineering circles and in the aerospace industry.

Dynamic Stochastic Models from Empirical Data

Variational Methods in Statistics

Realizability Theory for Continuous Linear Systems

Random Integral Equations

Causality and Dispersion Relations

Regression and the Moore-Penrose Pseudoinverse

Theory of Partial Differential Equations

Nonserial Dynamic Programming

Flows in Transportation Networks

Dynamic Programming and Partial Differential Equations

The Method of Weighted Residuals and Variational Principles, with Application in Fluid Mechanics, Heat and Mass Transfer

Riccati Differential Equations

Differential Equations in Abstract Spaces

Markov Processes and Learning Models

Computer-Oriented Approaches to Pattern Recognition

Multiparameter eigenvalue problems

System Identification

Transversal Theory

Adaptation and Learning in Automatic Systems

Berge's Principles of Combinatorics is now an acknowledged classic work of the field.

Diakoptics and Networks

Adaptive, Learning, and Pattern Recognition Systems; theory and applications

The Computation and Theory of Optimal Control

An Algorithmic Approach to Nonlinear Analysis and Optimization

Algorithms, Graphs, and Computers

Methods of Nonlinear Analysis

Network Flow, Transportation, and Scheduling; Theory and Algorithms

Functional Analysis and Time Optimal Control

Differential and integral inequalities; theory and applications PART B: Functional, partial, abstract, and complex differential equations

This volume constitutes the first part of a monograph on theory and applications of differential and integral inequalities.

Function Theoretic Methods in Partial Differential Equations

Special Functions and Their Approximations: v.

A detailed and self-contained and unified treatment of many mathematical functions which arise in applied problems, as well as the attendant mathematical theory for their approximations.

Sequential Methods in Pattern Recognition and Machine Learning

Introduction to Operations Research

Linear and Quasilinear Elliptic Equations

Variational Methods in Optimum Control Theory

Nonlinear Two Point Boundary Value Problems

Lie Theory and Special Functions

Nonlinear Ordinary Differential Equations in Transport Processes

Quasilinearization and invariant imbedding, with applications to chemical engineering and adaptive control

Introduction to the Mathematical Theory of Control Processes: Nonlinear Processes v.

This work discusses the theory of control processes.

The Theory of Splines and Their Applications

This work discusses the value of dynamic programming as a method of optimization for the sequential phenomena encountered in economic studies or in advanced technological programs such as those associated with space flights.

Graphs, Dynamic Programming and Finite Games

Nonlinear Autonomous Oscillations presents a self-contained and readable account for mathematicians, physicists, and engineers.

Stochastic Stability and Control

Optimization of Stochastic Systems is an outgrowth of class notes of a graduate level seminar on optimization of stochastic systems.