Human–computer interaction

Optimal Economic Operation of Electric Power Systems

Stochastic Models: Estimation and Control: v.

Stochastic Models: Estimation and Control: v.

Multiobjective Programming and Planning

Invariant Variational Principles

Integer and Mixed Programming: Theory and Applications

Dynamic System Identification: Experiment Design and Data Analysis

Linear Dynamical Systems

This book develops a unified approach to qualitative analysis of large scale systems described by many diversified types of equations.

Hamilton-Jacobi Equation: A Global Approach

The Art and Theory of Dynamic Programming

Probability Methods for Approximations in Stochastic Control and for Elliptic Equations

Dynamic Programming and Stochastic Control

Mathematical Models for the Study of the Reliability of Systems

Quantum Detection and Estimation Theory

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