Books in Theory and mathematics general

Books Journals

Special Functions and Their Approximations: v. 2

1st Edition
Volume 53B
January 1, 1969
Yudell L. Luke
English
eBook
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Nonlinear Ordinary Differential Equations in Transport Processes

1st Edition
Volume 42
January 1, 1968
W. F. Ames
English
eBook
9 7 8 0 0 8 0 9 5 5 5 0 6

Nonlinear Two Point Boundary Value Problems

1st Edition
Volume 44
January 1, 1968
Bailey
English
eBook
9 7 8 0 0 8 0 9 5 5 5 2 0

Sequential Methods in Pattern Recognition and Machine Learning

1st Edition
Volume 52
January 1, 1968
K.C. Fu
English
eBook
9 7 8 0 0 8 0 9 5 5 5 9 9

Introduction to Operations Research

1st Edition
Volume 47
January 1, 1968
Faure
English
eBook
9 7 8 0 0 8 0 9 5 5 5 5 1

Linear and Quasilinear Elliptic Equations

1st Edition
Volume 46
January 1, 1968
Ladyzhenskaya
English
eBook
9 7 8 0 0 8 0 9 5 5 5 4 4

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

1st Edition
Volume 41
January 1, 1968
Lee
English
eBook
9 7 8 0 0 8 0 9 5 5 4 9 0

Variational Methods in Optimum Control Theory

1st Edition
Volume 45
January 1, 1968
Petrov
English
eBook
9 7 8 0 0 8 0 9 5 5 5 3 7

Optimization of Stochastic Systems

1st Edition
Volume 32
January 1, 1967
Masanao Aoki
English
eBook
9 7 8 0 0 8 0 9 5 5 3 9 1

Optimization of Stochastic Systems is an outgrowth of class notes of a graduate level seminar on optimization of stochastic systems. Most of the material in the book was taught for the first time during the 1965 Spring Semester while the author was visiting the Department of Electrical Engineering, University of California, Berkeley. The revised and expanded material was presented at the Department of Engineering, University of California, Los Angeles during the 1965 Fall Semester. The systems discussed in the book are mostly assumed to be of discrete-time type with continuous state variables taking values in some subsets of Euclidean spaces. There is another class of systems in which state variables are assumed to take on at most a denumerable number of values, i.e., these systems are of discrete-time discrete-space type. Although the problems associated with the latter class of systems are many and interesting, andalthough they are amenable to deep analysis on such topics as the limiting behaviors of state variables as time indexes increase to infinity, this class of systems is not included here, partly because there are many excellent books on the subjects and partly because inclusion of these materials would easily double the size of the book.

Introduction to the Mathematical Theory of Control Processes: Linear Equations and Quadratic Criteria v. 1

1st Edition
Volume 40A
January 1, 1967
Bellman
English
eBook
9 7 8 0 0 8 0 9 5 5 4 7 6

This work discusses the theory of control processes. The extremely rapid growth of the theory, associated intimately with the continuing trend toward automation, makes it imperative that the courses of this nature rest upon a broad basis. The work discusses the fundamentals of the calculus of variations, dynamic programming, discrete control processes, use of the digital computer, and functional analysis. Introductory courses in control theory are essential for training the modern graduate student in pure and applied mathematics, engineering, mathematical physics, economics, biology, operations research, and related fields. The work also describes the dual approaches of the calculus of variations and dynamic programming in the scalar case and illustrates ways to tackle the multidimensional optimization problems.

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