Solving A Pspace Complete Problem With Dna Computing
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Solving A Pspace Complete Problem With Dna Computing
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Author :
language : de
Publisher:
Release Date : 2010
Solving A Pspace Complete Problem With Dna Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Dna Computing
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Author : Chengde Mao
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-14
Dna Computing written by Chengde Mao 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 2006-12-14 with Computers categories.
"..., the 11th International Meeting on DNA Computing was held June 6–9, 2005 at the University ofWestern Ontario in London, Ontario, Canada.
Theoretical And Experimental Dna Computation
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Author : Martyn Amos
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-06-23
Theoretical And Experimental Dna Computation written by Martyn Amos 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 2005-06-23 with Science categories.
This book provides a broad overview of the entire field of DNA computation, tracing its history and development. It contains detailed descriptions of all major theoretical models and experimental results to date and discusses potential future developments. It concludes by outlining the challenges currently faced by researchers in the field. This book will be a useful reference for researchers and students, as well as an accessible introduction for those new to the field.
Advance The Dna Computing
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Author : Zhiquan Frank Qiu
language : en
Publisher:
Release Date : 2003
Advance The Dna Computing written by Zhiquan Frank Qiu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
It has been previously shown that DNA computing can solve those problems currently intractable on even the fastest electronic computers. The algorithm design for DNA computing, however, is not straightforward. A strong background in both the DNA molecule and computer engineering are required to develop efficient DNA computing algorithms. After Adleman solved the Hamilton Path Problem using a combinatorial molecular method, many other hard computational problems were investigated with the proposed DNA computer. The existing models from which a few DNA computing algorithms have been developed are not sufficiently powerful and robust, however, to attract potential users. This thesis has described research performed to build a new DNA computing model based on various new algorithms developed to solve the 3-Coloring problem. These new algorithms are presented as vehicles for demonstrating the advantages of the new model, and they can be expanded to solve other NP-complete problems. These new algorithms can significantly speed up computation and therefore achieve a consistently better time performance. With the given resource, these algorithms can also solve problems of a much greater size, especially as compared to existing DNA computation algorithms. The error rate can also be greatly reduced by applying these new algorithms. Furthermore, they have the advantage of dynamic updating, so an answer can be changed based on modifications made to the initial condition. This new model makes use of the huge possible memory by generating a "lookup table" during the implementation of the algorithms. If the initial condition changes, the answer changes accordingly. In addition, the new model has the advantage of decoding all the strands in the final pool both quickly and efficiently. The advantages provided by the new model make DNA computing an efficient and attractive means of solving computationally intense problems.
Dna Based Computers Ii
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Author : DIMACS (Group)
language : en
Publisher: American Mathematical Soc.
Release Date : 1999
Dna Based Computers Ii written by DIMACS (Group) 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 1999 with Computers categories.
The fledgling field of DNA computers began in 1994 when Leonard Adleman surprised the scientific community by using DNA molecules, protein enzymes, and chemicals to solve an instance of a hard computational problem. This volume presents results from the second annual meeting on DNA computers held at Princeton only one and one-half years after Adleman's discovery. By drawing on the analogy between DNA computing and cutting-edge fields of biology (such as directed evolution), this volume highlights some of the exciting progress in the field and builds a strong foundation for the theory of molecular computation.
Dna Computing And Molecular Programming
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Author : Darko Stefanovic
language : en
Publisher: Springer
Release Date : 2012-07-25
Dna Computing And Molecular Programming written by Darko Stefanovic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-25 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Conference on DNA Computing and Molecular Programming, DNA 18, held in Aarhus, Denmark, in August 2012. The 11 full papers presented were carefully selected from 37 submissions. The papers are organized in topical sections on advancing the engineering and science of biology and chemistry from the point of view of computer science, physics, and mathematics.
Inductive Logic Programming
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Author : Nada Lavrač
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-09-03
Inductive Logic Programming written by Nada Lavrač 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 1997-09-03 with Computers categories.
This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.
Dna Computing
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Author : Alessandra Carbone
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-15
Dna Computing written by Alessandra Carbone 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 2006-05-15 with Computers categories.
"..., the 11th International Meeting on DNA Computing was held June 6–9, 2005 at the University ofWestern Ontario in London, Ontario, Canada.
Proceedings
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Author :
language : en
Publisher:
Release Date : 1998
Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computational complexity categories.
Bio Inspired Computing Theories And Applications
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Author : Cheng He
language : en
Publisher: Springer
Release Date : 2017-11-10
Bio Inspired Computing Theories And Applications written by Cheng He and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-10 with Computers categories.
This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.