Computing for Comparative Microbial Genomics
Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content. Computational hardness of Julia sets is the main subject of this book. By definitio...
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oai:112.137.131.14:VNU_123-301932020-10-14T01:52:15Z Computing for Comparative Microbial Genomics Braverman, Mark Yampolsky, Michael Microbial genomics--Data processing ; Bioinformatics 572 Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content. Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized. The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems. 2017-04-18T00:59:22Z 2017-04-18T00:59:22Z 2009 Book 978-3-540-68547-0 http://repository.vnu.edu.vn/handle/VNU_123/30193 en 158 p. application/pdf Springer |
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Microbial genomics--Data processing ; Bioinformatics 572 |
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Microbial genomics--Data processing ; Bioinformatics 572 Braverman, Mark Yampolsky, Michael Computing for Comparative Microbial Genomics |
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Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content.
Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized.
The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems. |
format |
Book |
author |
Braverman, Mark Yampolsky, Michael |
author_facet |
Braverman, Mark Yampolsky, Michael |
author_sort |
Braverman, Mark |
title |
Computing for Comparative Microbial Genomics |
title_short |
Computing for Comparative Microbial Genomics |
title_full |
Computing for Comparative Microbial Genomics |
title_fullStr |
Computing for Comparative Microbial Genomics |
title_full_unstemmed |
Computing for Comparative Microbial Genomics |
title_sort |
computing for comparative microbial genomics |
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Springer |
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2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/30193 |
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1680966326697328640 |