1.

Record Nr.

UNISA996465570103316

Titolo

Randomization and Approximation Techniques in Computer Science [[electronic resource] ] : 6th International Workshop, RANDOM 2002, Cambridge, MA, USA, September 13-15, 2002, Proceedings / / edited by Jose D.P. Rolim, Salil Vadhan

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002

ISBN

3-540-45726-7

Edizione

[1st ed. 2002.]

Descrizione fisica

1 online resource (VIII, 284 p.)

Collana

Lecture Notes in Computer Science, , 0302-9743 ; ; 2483

Disciplina

004/.07/27

Soggetti

Computer programming

Computer science—Mathematics

Algorithms

Numerical analysis

Programming Techniques

Mathematics of Computing

Algorithm Analysis and Problem Complexity

Numeric Computing

Discrete Mathematics in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Counting Distinct Elements in a Data Stream -- On Testing Convexity and Submodularity -- ?-Regular Languages Are Testable with a Constant Number of Queries -- Optimal Lower Bounds for 2-Query Locally Decodable Linear Codes -- Counting and Sampling H-Colourings -- Rapidly Mixing Markov Chains for Dismantleable Constraint Graphs -- On the 2-Colorability of Random Hypergraphs -- Percolation on Finite Cayley Graphs -- Computing Graph Properties by Randomized Subcube Partitions -- Bisection of Random Cubic Graphs -- Small k-Dominating Sets of Regular Graphs -- Finding Sparse Induced Subgraphs of Semirandom Graphs -- Mixing in Time and Space for Lattice Spin Systems: A Combinatorial View -- Quantum Walks on the Hypercube -- Randomness-Optimal Characterization of



Two NP Proof Systems -- A Probabilistic-Time Hierarchy Theorem for “Slightly Non-uniform” Algorithms -- Derandomization That Is Rarely Wrong from Short Advice That Is Typically Good -- Is Constraint Satisfaction Over Two Variables Always Easy? -- Dimensionality Reductions That Preserve Volumes and Distance to Affine Spaces, and Their Algorithmic Applications -- On the Eigenvalue Power Law -- Classifying Special Interest Groups in Web Graphs.