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In recent years global optimization has found applications in many
interesting areas of science and technology including molecular
biology, chemical equilibrium problems, medical imaging and
networks. The collection of papers in this book indicates the
diverse applicability of global optimization. Furthermore, various
algorithmic, theoretical developments and computational studies are
presented. Audience: All researchers and students working in
mathematical programming.
In this edition, the scope and character of the monograph did not
change with respect to the first edition. Taking into account the
rapid development of the field, we have, however, considerably
enlarged its contents. Chapter 4 includes two additional sections
4.4 and 4.6 on theory and algorithms of D.C. Programming. Chapter
7, on Decomposition Algorithms in Nonconvex Optimization, is
completely new. Besides this, we added several exercises and
corrected errors and misprints in the first edition. We are
grateful for valuable suggestions and comments that we received
from several colleagues. R. Horst, P.M. Pardalos and N.V. Thoai
March 2000 Preface to the First Edition Many recent advances in
science, economics and engineering rely on nu merical techniques
for computing globally optimal solutions to corresponding
optimization problems. Global optimization problems are
extraordinarily di verse and they include economic modeling, fixed
charges, finance, networks and transportation, databases and chip
design, image processing, nuclear and mechanical design, chemical
engineering design and control, molecular biology, and environment
al engineering. Due to the existence of multiple local optima that
differ from the global solution all these problems cannot be solved
by classical nonlinear programming techniques. During the past
three decades, however, many new theoretical, algorith mic, and
computational contributions have helped to solve globally multi
extreme problems arising from important practical applications."
In this edition, the scope and character of the monograph did not
change with respect to the first edition. Taking into account the
rapid development of the field, we have, however, considerably
enlarged its contents. Chapter 4 includes two additional sections
4.4 and 4.6 on theory and algorithms of D.C. Programming. Chapter
7, on Decomposition Algorithms in Nonconvex Optimization, is
completely new. Besides this, we added several exercises and
corrected errors and misprints in the first edition. We are
grateful for valuable suggestions and comments that we received
from several colleagues. R. Horst, P.M. Pardalos and N.V. Thoai
March 2000 Preface to the First Edition Many recent advances in
science, economics and engineering rely on nu merical techniques
for computing globally optimal solutions to corresponding
optimization problems. Global optimization problems are
extraordinarily di verse and they include economic modeling, fixed
charges, finance, networks and transportation, databases and chip
design, image processing, nuclear and mechanical design, chemical
engineering design and control, molecular biology, and environment
al engineering. Due to the existence of multiple local optima that
differ from the global solution all these problems cannot be solved
by classical nonlinear programming techniques. During the past
three decades, however, many new theoretical, algorith mic, and
computational contributions have helped to solve globally multi
extreme problems arising from important practical applications."
In recent years global optimization has found applications in many
interesting areas of science and technology including molecular
biology, chemical equilibrium problems, medical imaging and
networks. The collection of papers in this book indicates the
diverse applicability of global optimization. Furthermore, various
algorithmic, theoretical developments and computational studies are
presented. Audience: All researchers and students working in
mathematical programming.
Global optimization concerns the computation and characterization
of global optima of nonlinear functions. Such problems are
widespread in the mathematical modelling of real systems in a very
wide range of applications and the last 30 years have seen the
development of many new theoretical, algorithmic and computational
contributions which have helped to solve globally multiextreme
problems in important practical applications. Most of the existing
books on optimization focus on the problem of computing locally
optimal solutions. Introduction to Global Optimization, however, is
a comprehensive textbook on constrained global optimization that
covers the fundamentals of the subject, presenting much new
material, including algorithms, applications and complexity results
for quadratic programming, concave minimization, DC and Lipschitz
problems, and nonlinear network flow. Each chapter contains
illustrative examples and ends with carefully selected exercises,
designed to help students grasp the material and enhance their
knowledge of the methods involved. Audience: Students of
mathematical programming, and all scientists, from whatever
discipline, who need global optimization methods in such diverse
areas as economic modelling, fixed charges, finance, networks and
transportation, databases, chip design, image processing, nuclear
and mechanical design, chemical engineering design and control,
molecular biology, and environmental engineering.
Global optimization concerns the computation and characterization
of global optima of nonlinear functions. Such problems are
widespread in the mathematical modelling of real systems in a very
wide range of applications and the last 30 years have seen the
development of many new theoretical, algorithmic and computational
contributions which have helped to solve globally multiextreme
problems in important practical applications. Most of the existing
books on optimization focus on the problem of computing locally
optimal solutions. Introduction to Global Optimization, however, is
a comprehensive textbook on constrained global optimization that
covers the fundamentals of the subject, presenting much new
material, including algorithms, applications and complexity results
for quadratic programming, concave minimization, DC and Lipschitz
problems, and nonlinear network flow. Each chapter contains
illustrative examples and ends with carefully selected exercises,
designed to help students grasp the material and enhance their
knowledge of the methods involved. Audience: Students of
mathematical programming, and all scientists, from whatever
discipline, who need global optimization methods in such diverse
areas as economic modelling, fixed charges, finance, networks and
transportation, databases, chip design, image processing, nuclear
and mechanical design, chemical engineering design and control,
molecular biology, and environmental engineering.
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Grundlagen des Operations Research - 1 Einfuhrung, Lineare Optimierung, Nichtlineare Optimierung, Optimierung bei mehrfacher Zielsetzung (German, Paperback, 3., durchges.Aufl.)
Tomas Gal; Contributions by T. Gal, R. Horst, H Isermann, H. Muller-Merbach
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R1,801
Discovery Miles 18 010
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Ships in 10 - 15 working days
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Dieses aus drei Einzelb{nden bestehende Werk bietet einen
umfassenden ]berblick }ber das Gebiet des Operations Re- search
(OR). Das Buch entstand aus einem Kurs der Fernuniversit{t Hagen,
die Autoren sind herausragende, auch international anerkannte
Fachvertreter. Das Werk ist Lehrbuch und Nachschlagewerk zugleich.
Durch viele ]konomische und geometrische Beispiele, durch
]bungsaufgaben und deren L]sungen (im Anhang) ist das Buch auch zum
Selbststudium geeignet. Die Breite der behandelten Themen,
Sachwort- und Literaturverzeichnisse erm]glichen eine Orientierung
}ber das gesamte Fachgebiet. In jedem Kapitel des Buches werden
neben den Grundlagen der relevanten Theorie auch die entsprechenden
Verfahren (Methoden, Algorithmen) dargestellt. Teil 1 behandelt
allgemeine Begriffsbildung, die Grundlagen des Systemansatzes und
die Geschichte des Fachs. Weiter beinhaltet Teil 1 die lineare und
nichtlinearre Optimierung und Optimierungsprobleme bei mehrfacher
Zielsetzung. Teil 2 behandelt die Theorie der Graphen,
Netzwerkprobleme und deren L]sung, Transport- und verwandte
Probleme sowie die ganzzahlige Optimierung. Teil 3 konzentriert
sich auf die Spieltheorie, stochastische Probleme wie
Warteschlangen- und Lagerhaltungsprobleme, Simulation und ein
Kapitel ist den Entscheidungen bei unklaren (fuzzy)
Ausgangssituationen gewidmet. "So besteht der Hauptvorteil des
vorliegenden Werkes in der einheitlichen Zusammenf}gung zu einem
Gesamtwerk, welches in deutscher Sprache geschrieben ist und, nicht
zuletzt durch die enthaltenen Aufgaben mit L]sungen, den
Studierenden ein n}tzliches Lehrbuch }ber die Grundlagen des
Operations Research in die Hand gibt." (Dr. Rabe von Randow, Bonn,
in der Zeitschrift f}r Betriebswirtschaft, 7/1988).
In its basic form, negotiation is a method of conflict resolution
(5:7). It is a problem-solving process in which two or more parties
attempt to resolve their disagreement or conflict in a manner, and
through a process, that is mutually agreeable (8: xiii). Whereas
the general concept of negotiation is easy enough to understand, in
practice it can be an extremely difficult proposition. Opposing
views about what is right and wrong, disagreement on what is fair
and equitable, understanding each other's message and form of
communication, and even the procedures that will be used to conduct
negotiations are but a few of the hurdles that negotiators will
encounter.
What child lucky enough to have lived in the era was not struck by
the awesome size, power and mystery of a steam locomotive going to
distant locations? Although the locations for the Midland were not
so distant, given the time and the exuberance of the country, the
Iowa Midland was a significant force in the "growing up" of a small
section of eastern Iowa. To the uninitiated who wonder how trains
happened to go through so many towns to the railroad aficionados
who realize that the towns actually grew around the railroads, the
story of railroads and their impact on America at this dynamic time
in our countries history is absorbing. The Iowa Midland possessed
all the elements of the railroad boom but on a scale that is easy
for the reader to relate to and follow. The book relates the story
told time and time again all across the country about how the
railroad had such an incredible impact on the development of our
country and brought it into the 20th century.
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