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This book covers theory, methodology and applications of computer
networks, network protocols and wireless networks, data
communication technologies, and network security. The book is based
on the proceedings from the Fifth International Conference on
Networks & Communications (NetCom). The proceedings will
feature peer-reviewed papers that illustrate research results,
projects, surveys and industrial experiences that describe
significant advances in the diverse areas of computer networks
& communications.
The technique of randomization has been employed to solve numerous
prob lems of computing both sequentially and in parallel. Examples
of randomized algorithms that are asymptotically better than their
deterministic counterparts in solving various fundamental problems
abound. Randomized algorithms have the advantages of simplicity and
better performance both in theory and often in practice. This book
is a collection of articles written by renowned experts in the area
of randomized parallel computing. A brief introduction to
randomized algorithms In the aflalysis of algorithms, at least
three different measures of performance can be used: the best case,
the worst case, and the average case. Often, the average case run
time of an algorithm is much smaller than the worst case. 2 For
instance, the worst case run time of Hoare's quicksort is O(n ),
whereas its average case run time is only O( n log n). The average
case analysis is conducted with an assumption on the input space.
The assumption made to arrive at the O( n log n) average run time
for quicksort is that each input permutation is equally likely.
Clearly, any average case analysis is only as good as how valid the
assumption made on the input space is. Randomized algorithms
achieve superior performances without making any assumptions on the
inputs by making coin flips within the algorithm. Any analysis done
of randomized algorithms will be valid for all p0: .sible inputs."
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Bioinformatics Research and Applications - 6th International Symposium, ISBRA 2010, Storrs, CT, USA, May 23-26, 2010. Proceedings (Paperback, Edition.)
Mark Borodovsky, J. Peter Gogarten, Teresa M. Przytycka, Sanguthevar Rajasekaran
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R1,570
Discovery Miles 15 700
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Ships in 10 - 15 working days
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th The 6 International Symposium on Bioinformatics Research and
Applications
(ISBRA2010)washeldduringMay23-26,2010attheUniversityofConnecticut,
Storrs, Connecticut. The symposium provided a forum for the
exchange of new results and ideas among researchers, developers,
and practitioners working on all aspects of bioinformatics,
computational biology, and their applications. The program of the
symposium included 20 contributed papers selected by the
ProgramCommittee from 57 submissions received in response to the
call for papers. The symposium also included poster presentations
and featured invited keynote talks by six distinguished speakers:
Catalin Barbacioru from Life Te- nologies spoke on tracing the
early cell divisions of mouse embryos by single cell RNA-seq, Piotr
Berman from Pennsylvania State University spoke on successes and
failures of elegant algorithms in computational biology, Mark
Gerstein from Yale University spoke on human genome annotation,
Ivan Ovcharenko from the National Center for Biotechnology
Information spoke on the structure of pro- mal and distant
regulatory elements in the human genome, Laxmi Parida from the IBM
T. J. Watson Research Center spoke on combinatorics in recombi-
tional population genomics, and Mona Singh from Princeton
University spoke on predicting and analyzing cellular networks. We
would like to thank the Program Committee members and external -
viewers for volunteering their time to review and discuss symposium
papers.
This book constitutes the refereed proceedings of the First
International on Bioinformatics and Computational Biology, BICoB
2007, held in New Orleans, LA, USA, in April 2007.
The 30 revised full papers presented together with 10 invited
lectures were carefully reviewed and selected from 72 initial
submissions. The papers address current research in the area of
bioinformatics and computational biology fostering the advancement
of computing techniques and their application to life sciences in
topics such as genome analysis sequence analysis, phylogenetics,
structural bioinformatics, analysis of high-throughput biological
data, genetics and population analysis, as well as systems
biology.
The technique of randomization has been employed to solve numerous
prob lems of computing both sequentially and in parallel. Examples
of randomized algorithms that are asymptotically better than their
deterministic counterparts in solving various fundamental problems
abound. Randomized algorithms have the advantages of simplicity and
better performance both in theory and often is a collection of
articles written by renowned experts in practice. This book in the
area of randomized parallel computing. A brief introduction to
randomized algorithms In the analysis of algorithms, at least three
different measures of performance can be used: the best case, the
worst case, and the average case. Often, the average case run time
of an algorithm is much smaller than the worst case. 2 For
instance, the worst case run time of Hoare's quicksort is O(n ),
whereas its average case run time is only O(nlogn). The average
case analysis is conducted with an assumption on the input space.
The assumption made to arrive at the O(n logn) average run time for
quicksort is that each input permutation is equally likely.
Clearly, any average case analysis is only as good as how valid the
assumption made on the input space is. Randomized algorithms
achieve superior performances without making any assumptions on the
inputs by making coin flips within the algorithm. Any analysis done
of randomized algorithms will be valid for all possible inputs.
The technique of randomization has been employed to solve numerous
prob lems of computing both sequentially and in parallel. Examples
of randomized algorithms that are asymptotically better than their
deterministic counterparts in solving various fundamental problems
abound. Randomized algorithms have the advantages of simplicity and
better performance both in theory and often in practice. This book
is a collection of articles written by renowned experts in the area
of randomized parallel computing. A brief introduction to
randomized algorithms In the aflalysis of algorithms, at least
three different measures of performance can be used: the best case,
the worst case, and the average case. Often, the average case run
time of an algorithm is much smaller than the worst case. 2 For
instance, the worst case run time of Hoare's quicksort is O(n ),
whereas its average case run time is only O( n log n). The average
case analysis is conducted with an assumption on the input space.
The assumption made to arrive at the O( n log n) average run time
for quicksort is that each input permutation is equally likely.
Clearly, any average case analysis is only as good as how valid the
assumption made on the input space is. Randomized algorithms
achieve superior performances without making any assumptions on the
inputs by making coin flips within the algorithm. Any analysis done
of randomized algorithms will be valid for all p0: .sible inputs."
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Computational Advances in Bio and Medical Sciences - 11th International Conference, ICCABS 2021, Virtual Event, December 16-18, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Mukul S. Bansal, Ion Mandoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, …
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R1,651
Discovery Miles 16 510
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Ships in 10 - 15 working days
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This book constitutes revised selected papers from the refereed
proceedings of the 11th International Conference on Computational
Advances in Bio and Medical Sciences, ICCABS 2021, held as a
virtual event during December 16-18, 2021. The 13 full papers
included in this book were carefully reviewed and selected from 17
submissions. They were organized in topical sections as follows:
Computational advances in bio and medical sciences; and
computational advances in molecular epidemiology.
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Computational Advances in Bio and Medical Sciences - 10th International Conference, ICCABS 2020, Virtual Event, December 10-12, 2020, Revised Selected Papers (Paperback, 1st ed. 2021)
Sumit Kumar Jha, Ion Mandoiu, Sanguthevar Rajasekaran, Pavel Skums, Alex Zelikovsky
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R1,514
Discovery Miles 15 140
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 10th International
Conference on Computational Advances in Bio and Medical Sciences,
ICCABS 2020, held in December 2020. Due to COVID-19 pandemic the
conference was held virtually.The 6 regular and 5 invited papers
presented in this book were carefully reviewed and selected from 16
submissions. The use of high throughput technologies is
fundamentally changing the life sciences and leading to the
collection of large amounts of biological and medical data. The
papers show how the use of this data can help expand our knowledge
of fundamental biological processes and improve human health -
using novel computational models and advanced analysis algorithms.
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Computational Advances in Bio and Medical Sciences - 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Ion Mandoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes revised selected papers from the 9th
International Conference on Computational Advances in Bio and
Medical Sciences, ICCABS 2019, held in Miami, Florida, USA in
November 2019.The 15 papers presented in this volume were carefully
reviewed and selected from 30 submissions. They deal with topics
such as computational biology; biomedical image analysis;
biological networks; cancer genomics; gene enrichment analysis;
functional genomics; interaction networks; protein structure
prediction; dynamic programming; and microbiome analysis.
This book covers theory, methodology and applications of computer
networks, network protocols and wireless networks, data
communication technologies, and network security. The book is based
on the proceedings from the Fifth International Conference on
Networks & Communications (NetCom). The proceedings will
feature peer-reviewed papers that illustrate research results,
projects, surveys and industrial experiences that describe
significant advances in the diverse areas of computer networks
& communications.
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