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Learning in Economics: Analysis and Application of Genetic Algorithms
Thomas Riechmann
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Description for Learning in Economics: Analysis and Application of Genetic Algorithms
paperback. This text is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. Series: Contributions to Economics. Num Pages: 180 pages, 4 black & white tables, biography. BIC Classification: KCA; KCH; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 10. Weight in Grams: 288.
It took me over five years to write this book. Finishing my research project and thus finishing this book would not have been possible without the help of many friends of mine. Thus, the first thing to do is to say 'Thanks a lot' . This means at first place the Evangelisches Studienwerk Haus Villigst. They gave me a grant for my work, thus laying the important financial grounds of everything I've done. There is such a large number of friends I worked and lived with over the last few years that I cannot possibly mention them all by name, ... Read more
It took me over five years to write this book. Finishing my research project and thus finishing this book would not have been possible without the help of many friends of mine. Thus, the first thing to do is to say 'Thanks a lot' . This means at first place the Evangelisches Studienwerk Haus Villigst. They gave me a grant for my work, thus laying the important financial grounds of everything I've done. There is such a large number of friends I worked and lived with over the last few years that I cannot possibly mention them all by name, ... Read more
Product Details
Format
Paperback
Publication date
2001
Publisher
Springer/Sci-Tech/Trade Germany
Number of pages
180
Condition
New
Series
Contributions to Economics
Number of Pages
180
Place of Publication
Heidelberg, Germany
ISBN
9783790813845
SKU
V9783790813845
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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