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Mathematical Models In Economics Volume I


Mathematical Models In Economics Volume I
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Mathematical Models In Economics Volume Ii


Mathematical Models In Economics Volume Ii
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Author : Wei-Bin Zhang
language : en
Publisher: EOLSS Publications
Release Date : 2010-06-10

Mathematical Models In Economics Volume Ii written by Wei-Bin Zhang and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-10 with Economics categories.


Mathematical Models in Economics is a component of Encyclopedia of Mathematical Sciences in which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias. This theme is organized into several different topics and introduces the applications of mathematics to economics. Mathematical economics has experienced rapid growth, generating many new academic fields associated with the development of mathematical theory and computer. Mathematics is the backbone of modern economics. It plays a basic role in creating ideas, constructing new theories, and empirically testing ideas and theories. Mathematics is now an integral part of economics. The main advances in modern economics are characterized by applying mathematics to various economic problems. Many of today's profound insights into economic problems could hardly be obtained without the help of mathematics. The concepts of equilibrium versus non-equilibrium, stability versus instability, and steady states versus chaos in the contemporary literature are difficult to explain without mathematics. The theme discusses on modern versions of some classical economic theories, taking account of balancing between significance of economic issues and mathematical techniques. These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.



Mathematical Modeling In Economics Ecology And The Environment


Mathematical Modeling In Economics Ecology And The Environment
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Author : N.V. Hritonenko
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Mathematical Modeling In Economics Ecology And The Environment written by N.V. Hritonenko and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.


The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...



Mathematical Modeling In Economics And Finance Probability Stochastic Processes And Differential Equations


Mathematical Modeling In Economics And Finance Probability Stochastic Processes And Differential Equations
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Author : Steven R. Dunbar
language : en
Publisher: American Mathematical Soc.
Release Date : 2019-04-03

Mathematical Modeling In Economics And Finance Probability Stochastic Processes And Differential Equations written by Steven R. Dunbar and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-03 with Economics categories.


Mathematical Modeling in Economics and Finance is designed as a textbook for an upper-division course on modeling in the economic sciences. The emphasis throughout is on the modeling process including post-modeling analysis and criticism. It is a textbook on modeling that happens to focus on financial instruments for the management of economic risk. The book combines a study of mathematical modeling with exposure to the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the solutions to stochastic differential equations. They will understand how to use those tools to model the management of financial risk. They will gain a deep appreciation for the modeling process and learn methods of testing and evaluation driven by data. The reader of this book will be successfully positioned for an entry-level position in the financial services industry or for beginning graduate study in finance, economics, or actuarial science. The exposition in Mathematical Modeling in Economics and Finance is crystal clear and very student-friendly. The many exercises are extremely well designed. Steven Dunbar is Professor Emeritus of Mathematics at the University of Nebraska and he has won both university-wide and MAA prizes for extraordinary teaching. Dunbar served as Director of the MAA's American Mathematics Competitions from 2004 until 2015. His ability to communicate mathematics is on full display in this approachable, innovative text.



Mathematical Methods And Models For Economists


Mathematical Methods And Models For Economists
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Author : Angel de la Fuente
language : en
Publisher: Cambridge University Press
Release Date : 2000-01-28

Mathematical Methods And Models For Economists written by Angel de la Fuente and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-28 with Business & Economics categories.


A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.



Mathematical Modelling In Economics


Mathematical Modelling In Economics
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Author : Wolfgang Eichhorn
language : en
Publisher: Berlin : Springer-Verlag
Release Date : 1993

Mathematical Modelling In Economics written by Wolfgang Eichhorn and has been published by Berlin : Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Business & Economics categories.


Recoge este libro publicado en honor de Wolfgang Eichhorn una serie de ensayos sobre economía matemática: operaciones de investigación y modelos de la empresa; riesgo, seguro y estadística; politica y metodología; teoría de la distribución etc. etc.



Mathematical Methods And Models In Economic Planning Management And Budgeting


Mathematical Methods And Models In Economic Planning Management And Budgeting
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Author : Galimkair Mutanov
language : en
Publisher: Springer
Release Date : 2014-11-04

Mathematical Methods And Models In Economic Planning Management And Budgeting written by Galimkair Mutanov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-04 with Business & Economics categories.


This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. Regarding your book "Mathematical Methods and Models in Economics", I am impressed because now it is time when "econometrics" is becoming more appreciated by economists and by schools that are the hosts or employers of modern economists. ... Your presented results really impressed me. John F. Nash, Jr., Princeton University, Nobel Memorial Prize in Economic Sciences The book is within my scope of interest because of its novelty and practicality. First, there is a need for realistic modeling of complex systems, both natural and artificial that conclude computer and economic systems. There has been an ongoing effort in developing models dealing with complexity and incomplete knowledge. Consequently, it is clear to recognize the contribution of Mutanov to encapsulate economic modeling with emphasis on budgeting and innovation. Secondly, the method proposed by Mutanov has been verified by applying to the case of the Republic of Kazakhstan, with her vibrant emerging economy. Thirdly, Chapter 5 of the book is of particular interest for the computer technology community because it deals with innovation. In summary, the book of Mutanov should become one of the outstanding recognized pragmatic guides for dealing with innovative systems. Andrzej Rucinski, University of New Hampshire This book is unique in its theoretical findings and practical applicability. The book is an illuminating study based on an applied mathematical model which uses methods such as linear programming and input-output analysis. Moreover, this work demonstrates the author’s great insight and academic brilliance in the fields of finance, technological innovations and marketing vis-à-vis the market economy. From both theoretical and practical standpoint, this work is indeed a great achievement. Yeon Cheon Oh, President of Seoul National University



Mathematical Methods And Models For Economists


Mathematical Methods And Models For Economists
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Author : Angel de la Fuente
language : en
Publisher: Cambridge University Press
Release Date : 2000-01-28

Mathematical Methods And Models For Economists written by Angel de la Fuente and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-28 with Business & Economics categories.


This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analysis in metric spaces, differential calculus, comparative statics, convexity, static optimization, dynamical systems and dynamic optimization. The book includes a large number of applications to standard economic models and over two hundred fully worked-out problems.



Mathematical Models Volume Iii


Mathematical Models Volume Iii
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Author : Jerzy A. Filar
language : en
Publisher: EOLSS Publications
Release Date : 2009-09-19

Mathematical Models Volume Iii written by Jerzy A. Filar and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-19 with Mathematical models categories.


Mathematical Models is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Mathematical Models discusses matters of great relevance to our world such as: Basic Principles of Mathematical Modeling; Mathematical Models in Water Sciences; Mathematical Models in Energy Sciences; Mathematical Models of Climate and Global Change; Infiltration and Ponding; Mathematical Models of Biology; Mathematical Models in Medicine and Public Health; Mathematical Models of Society and Development. These three volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.



Mathematical Models In Economics


Mathematical Models In Economics
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Author :
language : en
Publisher:
Release Date : 1989

Mathematical Models In Economics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.




Introduction To Mathematical Models In Market And Opinion Research


Introduction To Mathematical Models In Market And Opinion Research
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Author : T. Harder
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Introduction To Mathematical Models In Market And Opinion Research written by T. Harder and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


In the introduction to his book Dr. Harder has very clearly described its purpose and organization. I only want to add for the English-speaking reader a few words on the place the present text is likely to have in the cur rent literature. At first Dr. Harder's undertaking might come as a surprise. Only a few years ago, Zeisel's Say it with Figures gave the market research practi tioner some ideas of how simple figures and tables could be successfully employed; Langhoff's publication for the American Marketing Associa tion presented some pertinent mathematical models in the most elemen tary form; why should a German author believe he can already introduce us to serious mathematical procedures for use in product management and advertising? After reading the book, incredulity turns into pleasure because of the skill with which the author has pursued his task. As a matter of fact, the book can serve two audiences who at first glance might appear to have quite opposing interests. For the mathematically trained market re searcher, the book has the marked advantage of combining a variety of ap proaches not ordinarily mixed in one volume. If the market researcher be gan as an economist he is already familiar with difference equations and time series analysis; if he moved in from psychology, he is already ac quainted with factor analysis. But as he reads this book, he finds the two worlds well integrated.