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Title Details:
Mathematica for economists
Authors: Kotsios, Stelios
Lomis, Ioannis
Subject: LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > MATHEMATICAL METHODS; PROGRAMMING MODELS; MATHEMATICAL AND SIMULATION MODELING
LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > DESIGN OF EXPERIMENTS
LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > SINGLE EQUATION MODELS; SINGLE VARIABLES
LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS >
MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING > MATHEMATICAL PROGRAMMING
Keywords:
Computational mathematics
Mathematica
Wolfram
Mathematical economics
Microeconomics
Macroeconomics
Monte Carlo
Symbolic computation
Numerical computation
Statistics
Optimization
Plotting functions
Algorithms
Procedural programming
Functional programming
Description:
Abstract:
This book focuses on utilizing Mathematica and the Wolfram language for economic applications. It is not meant to be a manual for using Mathematica but aims to introduce readers to the necessary concepts needed to begin working with economic applications, even if they do not have prior programming experience. The approach taken relies on the historically older and more conservative commands and usages of the language. It acknowledges that there have been advancements in computing and the continuous expansion of command libraries. For instance, Mathematica can now interpret natural language and has access to numerous databases across scientific fields, as well as incorporating cutting-edge artificial intelligence technologies. Though the use of these advanced features is encouraged, the text emphasizes the importance of understanding basic programming principles and the structure of the language before exploring more advanced features. The book's content is divided into three parts. In the first part, Mathematica is treated as a powerful calculator capable of performing simple arithmetic operations to complex higher mathematics problems using both symbolic and numerical methods. It also enables users to create various types of graphical representations. The second part introduces the Wolfram language as a general programming language that supports various programming paradigms (e.g., procedural programming, functional programming, etc.). This presentation assumes no prior programming knowledge but may assume knowledge of economic theory and mathematics in some cases. By combining programming capabilities with the rich set of built-in commands, readers can effectively tackle a range of mathematical and economic problems. The third part utilizes the concepts presented in the first two parts in a series of applications in economics, computational mathematics and financial mathematics. Presenting these applications often assumes knowledge of economic theory and mathematics.
Linguistic Editors: Aslani, Kyriaki
Type: Postgraduate textbook
Creation Date: 16-02-2024
Item Details:
ISBN 978-618-5726-53-9
License: Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0)
DOI http://dx.doi.org/10.57713/kallipos-169
Handle http://hdl.handle.net/11419/9118
Bibliographic Reference: Kotsios, S., & Lomis, I. (2024). Mathematica for economists [Postgraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-169
Language: Greek
Consists of:
1. Numbers management
2. Algebraic representation management
3. Solving equations
4. Functions
5. Graphic representations
6. Vectors and tables
7. Differential equations – difference equations
8. Lists and basic iteration commands
9. Procedural programming
10. Subroutines
11. Applications in economics
12. Applications in micro, macro and interest
13. Applications in computational mathematics - Monte Carlo
Number of pages 278
Publication Origin: Kallipos, Open Academic Editions
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