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1. |
Record Nr. |
UNISA996465866503316 |
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Titolo |
Fast Software Encryption [[electronic resource] ] : 19th International Workshop, FSE 2012, Washington, DC, USA, March 19-21, 2012. Revised Selected Papers / / edited by Anne Canteaut |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
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ISBN |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (XII, 463 p. 82 illus.) |
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Collana |
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Security and Cryptology ; ; 7549 |
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Disciplina |
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Soggetti |
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Data encryption (Computer science) |
Computer communication systems |
Algorithms |
Management information systems |
Computer science |
Computer security |
Computer scienceāMathematics |
Cryptology |
Computer Communication Networks |
Algorithm Analysis and Problem Complexity |
Management of Computing and Information Systems |
Systems and Data Security |
Discrete Mathematics in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Nota di contenuto |
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Block ciphers -- Differential cryptanalysis -- Hash functions -- Modes of operation -- New tools for cryptanalysis -- New designs -- Keccak. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed post-conference proceedings of the 19th International Workshop on Fast Software Encryption, held in Washington, DC, USA, in March 2012. The 24 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 89 initial submissions. The papers are organized in topical sections on block ciphers, differential |
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cryptanalysis, hash functions, modes of operation, new tools for cryptanalysis, new designs and Keccak. |
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2. |
Record Nr. |
UNINA9910438060203321 |
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Titolo |
Handbook of optimization : from classical to modern approach / / Ivan Zelinka, Vaclav Snasel and Ajith Abraham (eds.) |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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9781283640565 |
1283640562 |
9783642305047 |
3642305040 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (1087 p.) |
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Collana |
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Intelligent systems reference library, , 1868-4394 ; ; 38 |
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Altri autori (Persone) |
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ZelinkaIvan <1965-> |
SnaselVaclav <1957-> |
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Disciplina |
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Soggetti |
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Mathematical optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Classical methods - theory -- Classical methods - Applications -- Heuristics - Theory -- Heuristics - Applications. |
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Sommario/riassunto |
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Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were |
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formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks. Ā . |
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