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Linear Programming in Infinite-dimensional Spaces

Linear Programming in Infinite-dimensional Spaces
Author: Edward J. Anderson
Publisher: John Wiley & Sons
Total Pages: 192
Release: 1987
Genre: Duality theory (Mathematics).
ISBN:

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Infinite-dimensional linear programs; Algebraic fundamentals; Topology and duality. Semi-infinite linear programs; The mass-transfer problem; Maximal flow in a dynamic network; Continuous linear programs; Other infinite linear programs; Index.


Infinite Dimensional Optimization and Control Theory

Infinite Dimensional Optimization and Control Theory
Author: Hector O. Fattorini
Publisher: Cambridge University Press
Total Pages: 828
Release: 1999-03-28
Genre: Computers
ISBN: 9780521451253

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Treats optimal problems for systems described by ODEs and PDEs, using an approach that unifies finite and infinite dimensional nonlinear programming.


Semi-Infinite Programming

Semi-Infinite Programming
Author: Miguel Ángel Goberna
Publisher: Springer Science & Business Media
Total Pages: 392
Release: 2013-11-11
Genre: Computers
ISBN: 1475734034

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Semi-infinite programming (SIP) deals with optimization problems in which either the number of decision variables or the number of constraints is finite. This book presents the state of the art in SIP in a suggestive way, bringing the powerful SIP tools close to the potential users in different scientific and technological fields. The volume is divided into four parts. Part I reviews the first decade of SIP (1962-1972). Part II analyses convex and generalised SIP, conic linear programming, and disjunctive programming. New numerical methods for linear, convex, and continuously differentiable SIP problems are proposed in Part III. Finally, Part IV provides an overview of the applications of SIP to probability, statistics, experimental design, robotics, optimization under uncertainty, production games, and separation problems. Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.


Infinite Programming

Infinite Programming
Author: Edward J. Anderson
Publisher: Springer Science & Business Media
Total Pages: 262
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642465641

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Infinite programming may be defined as the study of mathematical programming problems in which the number of variables and the number of constraints are both possibly infinite. Many optimization problems in engineering, operations research, and economics have natural formul- ions as infinite programs. For example, the problem of Chebyshev approximation can be posed as a linear program with an infinite number of constraints. Formally, given continuous functions f,gl,g2, ••• ,gn on the interval [a,b], we can find the linear combination of the functions gl,g2, ... ,gn which is the best uniform approximation to f by choosing real numbers a,xl,x2, •.. ,x to n minimize a t€ [a,b]. This is an example of a semi-infinite program; the number of variables is finite and the number of constraints is infinite. An example of an infinite program in which the number of constraints and the number of variables are both infinite, is the well-known continuous linear program which can be formulated as follows. T minimize ~ c(t)Tx(t)dt t b(t) , subject to Bx(t) + fo Kx(s)ds x(t) .. 0, t € [0, T] • If x is regarded as a member of some infinite-dimensional vector space of functions, then this problem is a linear program posed over that space. Observe that if the constraint equations are differentiated, then this problem takes the form of a linear optimal control problem with state IV variable inequality constraints.


Functional Analysis and Infinite-Dimensional Geometry

Functional Analysis and Infinite-Dimensional Geometry
Author: Marian Fabian
Publisher: Springer Science & Business Media
Total Pages: 455
Release: 2013-04-17
Genre: Mathematics
ISBN: 1475734808

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This book introduces the basic principles of functional analysis and areas of Banach space theory that are close to nonlinear analysis and topology. The text can be used in graduate courses or for independent study. It includes a large number of exercises of different levels of difficulty, accompanied by hints.


Optimization by Vector Space Methods

Optimization by Vector Space Methods
Author: David G. Luenberger
Publisher: John Wiley & Sons
Total Pages: 348
Release: 1997-01-23
Genre: Technology & Engineering
ISBN: 9780471181170

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Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.


Infinite Dimensional Analysis

Infinite Dimensional Analysis
Author: Charalambos D. Aliprantis
Publisher: Springer Science & Business Media
Total Pages: 623
Release: 2013-11-11
Genre: Business & Economics
ISBN: 3662030047

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This text was born out of an advanced mathematical economics seminar at Caltech in 1989-90. We realized that the typical graduate student in mathematical economics has to be familiar with a vast amount of material that spans several traditional fields in mathematics. Much of the mate rial appears only in esoteric research monographs that are designed for specialists, not for the sort of generalist that our students need be. We hope that in a small way this text will make the material here accessible to a much broader audience. While our motivation is to present and orga nize the analytical foundations underlying modern economics and finance, this is a book of mathematics, not of economics. We mention applications to economics but present very few of them. They are there to convince economists that the material has so me relevance and to let mathematicians know that there are areas of application for these results. We feel that this text could be used for a course in analysis that would benefit math ematicians, engineers, and scientists. Most of the material we present is available elsewhere, but is scattered throughout a variety of sources and occasionally buried in obscurity. Some of our results are original (or more likely, independent rediscoveries). We have included some material that we cannot honestly say is neces sary to understand modern economic theory, but may yet prove useful in future research.


Infinite Programming

Infinite Programming
Author: Edward J Anderson
Publisher:
Total Pages: 264
Release: 1985-11-01
Genre:
ISBN: 9783642465659

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Linear Programming in Infinite-dimensional Spaces

Linear Programming in Infinite-dimensional Spaces
Author: Edward J. Anderson
Publisher: John Wiley & Sons
Total Pages: 194
Release: 1987
Genre: Mathematics
ISBN:

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Infinite-dimensional linear programs; Algebraic fundamentals; Topology and duality. Semi-infinite linear programs; The mass-transfer problem; Maximal flow in a dynamic network; Continuous linear programs; Other infinite linear programs; Index.


Optimal Control Theory for Infinite Dimensional Systems

Optimal Control Theory for Infinite Dimensional Systems
Author: Xungjing Li
Publisher: Springer Science & Business Media
Total Pages: 462
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461242606

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Infinite dimensional systems can be used to describe many phenomena in the real world. As is well known, heat conduction, properties of elastic plastic material, fluid dynamics, diffusion-reaction processes, etc., all lie within this area. The object that we are studying (temperature, displace ment, concentration, velocity, etc.) is usually referred to as the state. We are interested in the case where the state satisfies proper differential equa tions that are derived from certain physical laws, such as Newton's law, Fourier's law etc. The space in which the state exists is called the state space, and the equation that the state satisfies is called the state equation. By an infinite dimensional system we mean one whose corresponding state space is infinite dimensional. In particular, we are interested in the case where the state equation is one of the following types: partial differential equation, functional differential equation, integro-differential equation, or abstract evolution equation. The case in which the state equation is being a stochastic differential equation is also an infinite dimensional problem, but we will not discuss such a case in this book.