Combinatorics, Algorithms, Probabilistic and Experimental Methodologies: First International Symposium, ESCAPE 2007, Hangzhou, China, April 7-9, 2007, Revised Selected PapersBo Chen, Mike Paterson, Guochuan Zhang Springer, 2007. gada 17. sept. - 530 lappuses The refereed post-proceedings of the First International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies are presented in this volume. The symposium provided an interdisciplinary forum for researchers to share their discoveries and approaches. The 46 full papers address large data processing problems using different methodologies from major disciplines such as computer science, combinatorics, and statistics. |
No grāmatas satura
1.–5. rezultāts no 93.
13. lappuse
... function it is natural to consider bicriteria approximation algorithms: We call an algorithm a bicriteria (α, β)-approximation algorithm for the sequential vector packing problem if it finds for each sequence S and bin size β ·B a ...
... function it is natural to consider bicriteria approximation algorithms: We call an algorithm a bicriteria (α, β)-approximation algorithm for the sequential vector packing problem if it finds for each sequence S and bin size β ·B a ...
24. lappuse
... function” and the approximation algorithm only need to drive down the potential function at each step, thus gives another proof of the well-known approximation ratio lnn + 1. In this paper, the author presents a tighter analysis of SGA ...
... function” and the approximation algorithm only need to drive down the potential function at each step, thus gives another proof of the well-known approximation ratio lnn + 1. In this paper, the author presents a tighter analysis of SGA ...
25. lappuse
... function method to prove the improved approximation ratio. In Section 5, the author shows the nontrivial lower bound of approximation ratio. Section 6 is some discussions. 2. Preliminaries. The input of test set problem consists of a set ...
... function method to prove the improved approximation ratio. In Section 5, the author shows the nontrivial lower bound of approximation ratio. Section 6 is some discussions. 2. Preliminaries. The input of test set problem consists of a set ...
29. lappuse
... function method to derive improved approximation ratio of SGA for test set. Our proof is based on the idea to ”balance” the potential function by appending a negative term to the differentiation Imeasure. Lemma 4 (Lemma 2 in [6]). The ...
... function method to derive improved approximation ratio of SGA for test set. Our proof is based on the idea to ”balance” the potential function by appending a negative term to the differentiation Imeasure. Lemma 4 (Lemma 2 in [6]). The ...
36. lappuse
... function g. The instance I is called the problem kernel. For instance, the derivation of a problem kernel of linear size, that is, function g is a linear function, for the Dominating Set problem on planar graphs [2] is one of the ...
... function g. The instance I is called the problem kernel. For instance, the derivation of a problem kernel of linear size, that is, function g is a linear function, for the Dominating Set problem on planar graphs [2] is one of the ...
Saturs
1 | |
12 | |
24 | |
36 | |
A Deterministic Summary Structure for Update Data Streams | 48 |
An Effective Refinement Algorithm Based on Swarm Intelligence for Graph Bipartitioning | 60 |
On the Complexity and Approximation of the MinSum and MinMax Disjoint Paths Problems | 70 |
A Digital Watermarking Scheme Based on Singular Value Decomposition | 82 |
Fast Matching Method for DNA Sequences | 271 |
AllPairs Ancestor Problems in Weighted Dags | 282 |
Streaming Algorithms for Data in Motion | 294 |
A Scheduling Problem with One Producer and the Bargaining Counterpart with Two Producers | 305 |
PhraseBased Statistical Language Modeling from Bilingual Parallel Corpus | 317 |
Optimal Commodity Distribution for a Vehicle with Fixed Capacity Under Vendor Managed Inventory | 329 |
OnLine Bin Packing with Arbitrary Release Times | 340 |
On the Complexity of the MaxEdgeColoring Problem with Its Variants | 350 |
A New t nThreshold Scheme Based on Difference Equations | 94 |
CliqueTransversal Sets in Cubic Graphs | 107 |
On the Lh kLabeling of Cocomparability Graphs | 116 |
An Approximation Algorithm for the General Mixed Packing and Covering Problem | 128 |
Extending the Hardness of RNA Secondary Structure Comparison | 140 |
On the OnLine Weighted kTaxi Problem | 152 |
Model Futility and Dynamic Boundaries with Application in Banking Default Risk Modeling | 163 |
On the Minimum RiskSum Path Problem | 175 |
Constrained Cycle Covers in Halin Graphs | 186 |
Optimal Semionline Algorithms for Scheduling with Machine Activation Cost | 198 |
A Fast Asymptotic Approximation Scheme for Bin Packing with Rejection | 209 |
Online Coupon Consumption Problem | 219 |
Application of Copula and CopulaCVaR in the Multivariate Portfolio Optimization | 231 |
Online Capacitated Interval Coloring | 243 |
Energy Efficient Heuristic Scheduling Algorithms for Multimedia Service | 255 |
Call Control and Routing in SONET Rings | 260 |
Quantitative Analysis of Multihop Wireless Networks Using a Novel Paradigm | 362 |
Inverse MinMax Spanning Tree Problem Under the Weighted SumType Hamming Distance | 375 |
Robust Optimization Model for a Class of Uncertain Linear Programs | 384 |
An Efficient Algorithm for Solving the Container Loading Problem | 396 |
A Bijective Code for kTrees with Linear Time Encoding and Decoding | 408 |
MarketBased Service Selection Framework in Grid Computing | 421 |
Informative Gene Selection and Tumor Classification by Null Space LDA for Microarray Data | 435 |
Heuristic Search for 2D NMR Alignment to Support Metabolite Identification | 447 |
A New Succinct Representation of RMQInformation and Improvements in the Enhanced Suffix Array | 459 |
Lagrangian Relaxation and Cutting Planes for the Vertex Separator Problem | 471 |
Finding Pure Nash Equilibrium of Graphical Game Via Constraints Satisfaction Approach | 483 |
A New Load Balanced Routing Algorithm for Torus Networks | 495 |
Optimal Semionline Scheduling Algorithms on aSmall Number of Machines | 504 |
Lower Bounds on Edge Searching | 516 |
Author Index | 528 |
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Combinatorics, Algorithms, Probabilistic and Experimental Methodologies ... Bo Chen Ierobežota priekšskatīšana - 2007 |
Bieži izmantoti vārdi un frāzes
alignment ALL-PAIRS approximation algorithm assigned bandwidth Berlin Heidelberg 2007 bin packing problem bins Chen color competitive ratio Computer consider constraint contains copula cost cost(A critical clique cubic graph cycle dags defined denote edge encoded Equation function given graph G greedy algorithm Hamming distance heuristic integer interval graphs k-tree labeled least Lemma linear LNCS lower bound machine method Min-Max Min-Sum minimize minimum risk-sum path Nash equilibrium nodes NP-complete NP-hard null space obtain on-line online algorithm optimal solution packing pair paper parameter partitioning phase polynomial present Proof random rejection request risk-sum path problem routing satisfies scheduling scheme searcher secret sharing sequence shortest path problem solve space Springer step strategy stream subgraph subset Theorem tree update variable vector vertex watermark weighted Zhang Eds