Deerman Karl (13 results)
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Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Paperback or Softback. Condition: New. Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms. Book.
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. KlappentextrnrnThe tertiary structure determines the protein s functionality. Genetic algorithms (GAs) are stochastic search routines that are capable of providing solutions to intractable problems. The use of GAs plays an important part in the .
Language: English
Published by British Library, Historical Print Editions Okt 2012 2012
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - The tertiary structure determines the protein's functionality. Genetic algorithms (GAs) are stochastic search routines that are capable of providing solutions to intractable problems. The use of GAs plays an important part in the search for near optimal solutions in large search spaces. The… PSP solution landscape is so large and complex that deterministic methods flounder due to the combinatoric issues involved with enumerating these massive search spaces. This makes the GA an ideal candidate for finding solutions to the PSP problem. This is an engineering investigation into the effectiveness and efficiency of the Linkage Learning GA (LLGA) applied to the PSP problem. The LLGA implementations takes explicit advantage of 'tight linkages' early enough in its algorithmic processing to overcome the disruptive effects of crossover. The LLGA is integrated with the previously developed and tested AFIT CHARMm energy model software. Furthermore, a parallel version, pLLGA, is developed using a data partitioning scheme to 'farm out' the CHARMm evaluations. Portability across AFIT's heterogeneous ABC Beowulf system, distributed networks, and massively parallel platforms is accomplished through the use of object-oriented C++ and the Message Passing Interface (MPI). This model improves the efficiency of the LLGA algorithm. Ramachandran developed constraints are incorporated into the LLGA to exploit domain knowledge in order to improve the effectiveness of the search technique. This approach, constrained-LLGA (cLLGA), has been parallelized using the same decomposition as the pLLGA. This new implementation is called the constrained-parallel LLGA (cpLLGA).
Language: English
Published by British Library, Historical Print Editions 2012
- Softcover
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by British Library, Historical Print Editions 2012
- Softcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 214.
- Softcover
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Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. Print on Demand pp. 214.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 214.
