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Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms

Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms PDF Author: Howard Karloff
Publisher: SIAM
ISBN: 9780898714104
Category : Mathematics
Languages : en
Pages : 726

Book Description
This symposium is jointly sponsored by the ACM Special Interest Group on Algorithms and Computation Theory and the SIAM Activity Group on Discrete Mathematics.

Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms

Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms PDF Author: Howard Karloff
Publisher: SIAM
ISBN: 9780898714104
Category : Mathematics
Languages : en
Pages : 726

Book Description
This symposium is jointly sponsored by the ACM Special Interest Group on Algorithms and Computation Theory and the SIAM Activity Group on Discrete Mathematics.

Proceedings of the Twenty-ninth Annual ACM Symposium on the Theory of Computing

Proceedings of the Twenty-ninth Annual ACM Symposium on the Theory of Computing PDF Author:
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Computers
Languages : en
Pages : 772

Book Description


Ranking Queries on Uncertain Data

Ranking Queries on Uncertain Data PDF Author: Ming Hua
Publisher: Springer Science & Business Media
ISBN: 1441993800
Category : Computers
Languages : en
Pages : 233

Book Description
Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.

Database Systems for Advanced Applications

Database Systems for Advanced Applications PDF Author: Sang-goo Lee
Publisher: Springer
ISBN: 3642290388
Category : Computers
Languages : en
Pages : 615

Book Description
This two volume set LNCS 7238 and LNCS 7239 constitutes the refereed proceedings of the 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, held in Busan, South Korea, in April 2012. The 44 revised full papers and 8 short papers presented together with 2 invited keynote papers, 8 industrial papers, 8 demo presentations, 4 tutorials and 1 panel paper were carefully reviewed and selected from a total of 159 submissions. The topics covered are query processing and optimization, data semantics, XML and semi-structured data, data mining and knowledge discovery, privacy and anonymity, data management in the Web, graphs and data mining applications, temporal and spatial data, top-k and skyline query processing, information retrieval and recommendation, indexing and search systems, cloud computing and scalability, memory-based query processing, semantic and decision support systems, social data, data mining.

Understanding Control Flow

Understanding Control Flow PDF Author: Peter A. Buhr
Publisher: Springer
ISBN: 331925703X
Category : Computers
Languages : en
Pages : 755

Book Description
The control-flow issues presented in this textbook are extremely relevant in modern computer languages and programming styles. In addition to the basic control-flow mechanisms, virtually all new computer languages provide some form of exceptional control flow to support robust programming introduced in this textbook. Also, concurrency capabilities are appearing with increasing frequency in both new and old programming languages, and are covered in this book. Understanding Control Flow: With Concurrent Programming Using μC++ starts with looping, and works through each of the basic control-flow concepts, examining why each is fundamental and where it is useful. Time is spent on each concept according to its level of difficulty. Examples and exercises are also provided in this textbook. New programming methodologies are requiring new forms of control flow, and new programming languages are supporting these methodologies with new control structures, such as the concurrency constructs discussed in this textbook. Most computers now contain multi-threading and multi-cores, while multiple processors and distributed systems are ubiquitous — all of which require advanced programming methodologies to take full advantage of the available parallelism summarized in this textbook. Advance forms of control flow are becoming basic programming skills needed by all programmers, not just graduate students working in the operating systems or database disciplines. This textbook is designed for advanced-level students studying computer science and engineering. Professionals and researchers working in this field, specifically programming and software engineering, will find this book useful as a reference.

Massive Graph Analytics

Massive Graph Analytics PDF Author: David A. Bader
Publisher: CRC Press
ISBN: 1000538613
Category : Business & Economics
Languages : en
Pages : 632

Book Description
"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics." — Timothy G. Mattson, Senior Principal Engineer, Intel Corp Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. Massive Graph Analytics will be beneficial to students, researchers, and practitioners in academia, national laboratories, and industry who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive-scale graph analytics.

Proceedings of the Thirty-ninth Annual ACM Symposium on Theory of Computing

Proceedings of the Thirty-ninth Annual ACM Symposium on Theory of Computing PDF Author: ACM Special Interest Group for Algorithms and Computation Theory
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages : 740

Book Description


The Theory of Hash Functions and Random Oracles

The Theory of Hash Functions and Random Oracles PDF Author: Arno Mittelbach
Publisher: Springer Nature
ISBN: 3030632873
Category : Computers
Languages : en
Pages : 788

Book Description
Hash functions are the cryptographer’s Swiss Army knife. Even though they play an integral part in today’s cryptography, existing textbooks discuss hash functions only in passing and instead often put an emphasis on other primitives like encryption schemes. In this book the authors take a different approach and place hash functions at the center. The result is not only an introduction to the theory of hash functions and the random oracle model but a comprehensive introduction to modern cryptography. After motivating their unique approach, in the first chapter the authors introduce the concepts from computability theory, probability theory, information theory, complexity theory, and information-theoretic security that are required to understand the book content. In Part I they introduce the foundations of hash functions and modern cryptography. They cover a number of schemes, concepts, and proof techniques, including computational security, one-way functions, pseudorandomness and pseudorandom functions, game-based proofs, message authentication codes, encryption schemes, signature schemes, and collision-resistant (hash) functions. In Part II the authors explain the random oracle model, proof techniques used with random oracles, random oracle constructions, and examples of real-world random oracle schemes. They also address the limitations of random oracles and the random oracle controversy, the fact that uninstantiable schemes exist which are provably secure in the random oracle model but which become insecure with any real-world hash function. Finally in Part III the authors focus on constructions of hash functions. This includes a treatment of iterative hash functions and generic attacks against hash functions, constructions of hash functions based on block ciphers and number-theoretic assumptions, a discussion of privately keyed hash functions including a full security proof for HMAC, and a presentation of real-world hash functions. The text is supported with exercises, notes, references, and pointers to further reading, and it is a suitable textbook for undergraduate and graduate students, and researchers of cryptology and information security.

Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments

Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments PDF Author: Frans Oliehoek
Publisher: Amsterdam University Press
ISBN: 9056296108
Category : Business & Economics
Languages : en
Pages : 222

Book Description
In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process (Dec-POMDP).

Mathematical Foundations of Computer Science 2014

Mathematical Foundations of Computer Science 2014 PDF Author: Ersébet Csuhaj-Varjú
Publisher: Springer
ISBN: 3662445220
Category : Computers
Languages : en
Pages : 584

Book Description
This two volume set LNCS 8634 and LNCS 8635 constitutes the refereed conference proceedings of the 39th International Symposium on Mathematical Foundations of Computer Science, MFCS 2014, held in Budapest, Hungary, in August 2014. The 95 revised full papers presented together with 6 invited talks were carefully selected from 270 submissions. The focus of the conference was on following topics: Logic, Semantics, Automata, Theory of Programming, Algorithms, Complexity, Parallel and Distributed Computing, Quantum Computing, Automata, Grammars and Formal Languages, Combinatorics on Words, Trees and Games.