Network Flow Algorithms, David P. Williamson

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: MIT Press
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Цена: 183920.00 T
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Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Автор: Barab?si
Название: Network Science
ISBN: 1107076269 ISBN-13(EAN): 9781107076266
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of disciplines from physics to the social sciences, is the only book needed for an introduction to network science. In modular format, with clear delineation between undergraduate and graduate material, its unique design is supported by extensive online resources.

Автор: Hitoshi Iba, Nasimul Noman
Название: Evolutionary Computation in Gene Regulatory Network Research
ISBN: 1118911512 ISBN-13(EAN): 9781118911518
Издательство: Wiley
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Цена: 128780.00 T
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Описание: Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).

Автор: Hofstad
Название: Random Graphs and Complex Networks
ISBN: 110717287X ISBN-13(EAN): 9781107172876
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master`s-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience.

Автор: Mikhail V. Batsyn; Valery A. Kalyagin; Panos M. Pa
Название: Models, Algorithms and Technologies for Network Analysis
ISBN: 3319343521 ISBN-13(EAN): 9783319343525
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups.

Автор: Boris I. Goldengorin; Valery A. Kalyagin; Panos M.
Название: Models, Algorithms, and Technologies for Network Analysis
ISBN: 1493953877 ISBN-13(EAN): 9781493953875
Издательство: Springer
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Цена: 102480.00 T
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Описание: Models, Algorithms, and Technologies for Network Analysis (V.A. Kalyagin, B. Goldengorin, P.M. Pardalos).- Tolerance-Based vs. Cost-Based Branching for the Asymmetric Capacitated Vehicle Routing Problem (M. Batsyn, B. Goldengorin, A. Kocheturov, P.M. Pardalos).- Lower and Upper Bounds for the Preemptive Single Machine Scheduling Problem with Equal Processing Times (M. Batsyn, B. Goldengorin, P. Sukhov, P.M. Pardalos).- Comparative Analysis of Two Similarity Measures for the Market Graph Construction (G. A. Bautin, V.A. Kalyagin, A.P. Koldanov).- Heuristic Algorithm for the Cell Formation Problem (I. Bychkov, M. Batsyn, P. Sukhov, P.M. Pardalos).- Efficiency Analysis of Branch Network (P.A. Koldanov).- EEG Coherence in Right- and Left-Handers in Passive Visual Perception of Lines with Different Slope Angles (L.M. Viktorovich).- Speeding Up MCS Algorithm for the Maximum Clique Problem with ILS Heuristic and Other Enhancements (E. Maslov, M. Batsyn, P.M. Pardalos).- Summary and Semi-Average Similarity Criteria for Individual Clusters (B. Mirkin).- Kernel Principal Component Analysis: Applications, Implementation, and Comparison (D. Olsson, P. Georgiev, V. Boginski, A. Sorokin, P.M. Pardalos).- Distance-Based Clique Relaxations in Networks: s-Clique and s-Club (S. Shahinpour, S. Butenko).- GRASP with Path-Relinking for Facility Layout (R.M.A. Silva, M.G.C. Resende, P.M. Pardalos, G.R. Mateus, G. De Tomi).- Comparative Analysis of the BRIC Countries Stock Markets Using Network Approach (A. Vizgunov, A. Glotov, P.M. Pardalos).- Sensor Cover and Double Partition (L. Wu, W. Wu, L. Lu, Y. Zhu, D.-Z. Du).

Автор: Boris I. Goldengorin; Valery A. Kalyagin; Panos M.
Название: Models, Algorithms, and Technologies for Network Analysis
ISBN: 1461485878 ISBN-13(EAN): 9781461485872
Издательство: Springer
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Цена: 93160.00 T
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Описание:

This volume contains two types of papers--a selection of contributions from the "Second International Conference in Network Analysis" held in Nizhny Novgorod on May 7-9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.

This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in

- vehicle routing
- single machine scheduling
- modern financial markets
- cell formation in group technology
- brain activities of left- and right-handers
- speeding up algorithms for the maximum clique problem
- analysis and applications of different measures in clustering

The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.

Автор: Vimal Kumar, Amartya Sen, Sanjay Madria
Название: Secure Sensor Cloud
ISBN: 1681734702 ISBN-13(EAN): 9781681734705
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
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Описание: The sensor cloud is a new model of computing paradigm for Wireless Sensor Networks (WSNs), which facilitates resource sharing and provides a platform to integrate different sensor networks where multiple users can build their own sensing applications at the same time. It enables a multi-user on-demand sensory system, where computing, sensing, and wireless network resources are shared among applications. Therefore, it has inherent challenges for providing security and privacy across the sensor cloud infrastructure. With the integration of WSNs with different ownerships, and users running a variety of applications including their own code, there is a need for a risk assessment mechanism to estimate the likelihood and impact of attacks on the life of the network. The data being generated by the wireless sensors in a sensor cloud need to be protected against adversaries, which may be outsiders as well as insiders. Similarly, the code disseminated to the sensors within the sensor cloud needs to be protected against inside and outside adversaries. Moreover, since the wireless sensors cannot support complex and energy-intensive measures, the lightweight schemes for integrity, security, and privacy of the data have to be redesigned.The book starts with the motivation and architecture discussion of a sensor cloud. Due to the integration of multiple WSNs running user-owned applications and code, the possibility of attacks is more likely. Thus, next, we discuss a risk assessment mechanism to estimate the likelihood and impact of attacks on these WSNs in a sensor cloud using a framework that allows the security administrator to better understand the threats present and take necessary actions. Then, we discuss integrity and privacy preserving data aggregation in a sensor cloud as it becomes harder to protect data in this environment. Integrity of data can be compromised as it becomes easier for an attacker to inject false data in a sensor cloud, and due to hop by hop nature, privacy of data could be leaked as well. Next, the book discusses a fine-grained access control scheme which works on the secure aggregated data in a sensor cloud. This scheme uses Attribute Based Encryption (ABE) to achieve the objective. Furthermore, to securely and efficiently disseminate application code in sensor cloud, we present a secure code dissemination algorithm which first reduces the amount of code to be transmitted from the base station to the sensor nodes. It then uses Symmetric Proxy Re-encryption along with Bloom filters and Hash-based Message Authentication Code (HMACs) to protect the code against eavesdropping and false code injection attacks.

Автор: Vimal Kumar, Amartya Sen, Sanjay Madria
Название: Secure Sensor Cloud
ISBN: 1681734680 ISBN-13(EAN): 9781681734682
Издательство: Mare Nostrum (Eurospan)
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Цена: 61910.00 T
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Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.

Автор: Binxing Fang, Jia-Yan Yao
Название: [Set Online Social Network Analysis, Vol 1-3]
ISBN: 311062656X ISBN-13(EAN): 9783110626568
Издательство: Walter de Gruyter
Цена: 259100.00 T
Наличие на складе: Нет в наличии.

Автор: Boris I. Goldengorin; Valery A. Kalyagin; Panos M.
Название: Models, Algorithms, and Technologies for Network Analysis
ISBN: 1493901745 ISBN-13(EAN): 9781493901746
Издательство: Springer
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Цена: 102480.00 T
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Описание: The contributions of this conference not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology and applications.

Автор: Sethi, Muhammad Athar Javed
Название: Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip
ISBN: 0367425904 ISBN-13(EAN): 9780367425906
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: This book exclusively presents in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the biological brain and implemented on NoC. It further documents the bio-inspired algorithms in general and more specifically, in the design of NoC.