Parameterized ComplexitySpringer Science & Business Media, 6 dec 2012 - 533 pagina's The idea for this book was conceived over the second bottle of Villa Maria's Caber net Medot '89, at the dinner of the Australasian Combinatorics Conference held at Palmerston North, New Zealand in December 1990, where the authors first met and discovered they had a number of interests in common. Initially, we embarked on a small project to try to formulate reductions to address the apparent parame terized intractability of DOMINATING SET, and to introduce a structure in which to frame our answers. Having spent several months trying to get the definitions for the reductions right (they now seem so obvious), we turned to our tattered copies of Garey and Johnson's work [239]. We were stunned to find that virtually none of the classical reductions worked in the parameterized setting. We then wondered if we'd be able to find any interesting reductions. Several years, many more bottles, so many papers, and reductions later it [3] seemed that we had unwittingly stumbled upon what we believe is a truly central and new area of complexity theory. It seemed to us that the material would be of great interest to people working in areas where exact algorithms for a small range of parameters are natural and useful (e. g. , Molecular Biology, VLSI design). The tractability theory was rich with distinctive and powerful techniques. The intractability theory seemed to have a deep structure and techniques all of its own. |
Inhoudsopgave
The Basic Definitions 23 | 22 |
The Methods of Bounded Search Tree | 29 |
Optimization Problems Approximation Schemes and Their | 49 |
The Advice View Revisited and LOGSPACE | 61 |
Methods via Automata and Bounded Treewidth | 67 |
WellQuasiOrderings and the RobertsonSeymour Theorems | 143 |
Miscellaneous Techniques | 211 |
Reductions | 227 |
W1Complete | 453 |
W1Hard in W2 | 458 |
W1Hard in WP | 460 |
W2Complete | 463 |
W2Hard in WP | 465 |
W2Hard | 466 |
WtComplete | 467 |
WtHard for All t in WP | 468 |
The Basic Class W1 and an Analog of Cooks Theorem | 235 |
Some Other W1Hardness Results | 255 |
The WHierarchy 283 | 282 |
Beyond WtHardness | 315 |
Fixed Parameter Analogs of PSPACE and kMove Games | 331 |
The Class XP | 341 |
Another Basis for the WHierarchy the TradeoffTheorem | 352 |
Relationships with Classical Complexity and Limited | 363 |
MONOTONE | 377 |
The Structure of Languages Under Parameterized Reducibilities 389 | 388 |
Appendix | 439 |
In FPT Nonuniform | 451 |
In Randomized FPT | 452 |
WSATHard | 473 |
AW AW1 AWtComplete | 476 |
AWSATComplete | 478 |
AWPComplete | 479 |
AWPHard | 480 |
B Research Horizons | 481 |
A Lineup of Tough Customers | 483 |
Connections Between Classical and Parameterized Complexity | 486 |
Structural Issues and Analogs of Classical Results | 487 |
| 489 | |
| 517 | |
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Veelvoorkomende woorden en zinsdelen
3SAT accepts algorithm automata automaton binary boolean bounded treewidth CIRCUIT SATISFIABILITY classical clause CLIQUE common subsequence computation construction corresponding CUTWIDTH define Definition degree denote disjoint DOMINATING SET Downey and Fellows edge embedding example Exercise fanout feedback vertex set fixed-parameter tractable formula function gadget gate graph G Graph Minor hence hypergraph INDEPENDENT SET induction input vector Instance k₁ labeled language Lemma length MONOTONE Myhill-Nerode Theorem node nondeterministic NP-complete obstruction set output pair Parameter parameterized complexity parameterized problem parse tree path pathwidth pebble PERFECT CODE planar graph Player polynomial polynomial-time positive integer problem is NP-complete proof Prove Question reduction represented result s₁ sequence set of vertices stage Step string subgraph subset Suppose symbols t-boundaried graphs T₁ Theorem tree decomposition treewidth truth assignment Turing machine V₁ VERTEX COVER vertex set weft well-quasi-ordered Yes No Yes
