This book grew out of the teaching and lecture notes for a course in "e;Dynamic Economics"e; given at Copenhagen University where it has been part of a combined study program in economics and mathematics since 1986.
Economists and political scientists have recently begun to study formally how conftict and the possibility of conftict affects resource allocation and economic performance.
Back in the good old days on the fourth floor of the Altbau of Bonn's Ju- ridicum, Werner Hildenbrand put an end to a debate about a festschrift in honor of an economist on the occasion of his turning 60 with a laconic: "e;Much too early.
The ambition of the theory of imperfectly competitive markets is to explain the working of markets in which the issue of strategic interaction among firms is central.
The present book relies on various editions of my earlier book "e;Nonlinear Economic Dynamics"e;, first published in 1989 in the Springer series "e;Lecture Notes in Economics and Mathematical Systems"e;, and republished in three more, successively revised and expanded editions, as a Springer monograph, in 1991, 1993, and 1997.
In the nearly five years since the publication of what we refer to as The Hitchhiker's Guide, we have been the recipients of much advice and many complaints.
Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent change over times and batching.
Dynamic tools of analysis and modelling are increasingly used in Economics and Biology and have become more and more sophisticated in recent years, to the point where the general students without training in Dynamic Systems (DS) would be at a loss.
The enormous practical need for solving global optimization problems coupled with a rapidly advancing computer technology has allowed one to consider problems which a few years ago would have been considered computationally intractable.
In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change.
Mit diesem Lehrbuch werden die grundlegenden Konzepte der Deskriptiven Statistik, der Wahrscheinlichkeitstheorie, der Induktiven Statistik und der Statistischen Entscheidungstheorie vorgestellt.
The first part of this book, Part I, can be read from two quite distinct points of view: one, as an attempt to develop and defend the important aspects of an entirely new approach to the analysis of the structure of scientific the- ories; and second, as the source of the conceptual apparatus needed for the analysis of theory dynamics and the metascientific reconstruction of T.
Population aging raises a number of issues regarding the optimality of public debt policy and the systems of public pension provisions that are in use in developed countries.
Anschaulich und umfassend wird eine momentan vieldiskutierte Frage behandelt: Wachsen ärmere Länder und Regionen schneller als reiche, so daß sich die Lücke in den Einkommen über die Zeit schließt?
Die "klassische" Analysis wird so breit behandelt, wie dies der spätere Anwender benötigt: Integralrechnung, unendliche Reihen (speziell: Fourier-Reihen) und gewöhnliche Differentialgleichungen einschließlich der Laplace-Transformationen.
Das vorliegende Buch über Mathematik für Wirtschaftswissenschaftler basiert auf langjährigen Erfahrungen mit einem gleichnamigen Kurs der Fernuniversität Hagen, der seit dem WS 1975 am Fachbereich Wirt schaftswissenschaft eingesetzt worden ist.
Es läuft ganz und gar nicht rund in unserer Wirtschaft: Kam bereits vor der Pandemie der Wohlstand nicht mehr bei allen an, wurde die soziale Ungleichheit durch Corona noch weiter verschärft.
This book presents paths developing countries can pursue in order to reclaim their ability to take action and improve people's living conditions in the long term.
Dieses einführende Lehrbuch zeigt fundiert den gesamten Ablauf einer statistischen Untersuchung auf, ausgehend von der Datenerhebung über die Aufbereitung und Analyse der Daten bis hin zur Interpretation der Ergebnisse.
Data Science trägt wesentlich zu einer schnelleren Nutzbarmachung von Markt-, Kunden- und Nutzerdaten bei, inklusive der Analyse von Daten aus Sozialen Netzwerken.