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书名 | 计算的本质(英文版香农信息科学经典) |
分类 | 科学技术-自然科学-数学 |
作者 | (美)克里斯托弗·摩尔//(德)斯蒂芬·默滕斯 |
出版社 | 世界图书出版有限公司 |
下载 | ![]() |
简介 | 内容推荐 计算复杂性是现代数学中最美的领域之一,它与从物理学到生物学的其他科学也息息相关。但这种美往往被不必要的形式主义所掩盖,而交互式证明、密码学和量子计算等令人兴奋的最新成果常常被认为过于“先进”,无法向普通学生展现。这本书的目的是通过以一种清晰而愉悦的方式解释理论计算机科学的深刻思想来予以弥合。书中包括很多有趣且深刻的主题:Pvs。NP问题;迷宫和棋牌游戏的复杂性;优化和估计;随机化算法、交互式证明和伪随机性;马尔可夫链和相变;以及量子计算等。 目录 Figure Credits Preface 1 Prologue 1.1 CrossingBridges 1.2 IntractableItineraries 1.3 Playing ChessWith God 1.4 What LiesAhead Problems Notes 2 The Basics 2.1 Problems and Solutions 2.2 Time,Space,and Scaling 2.3 Intrinsic Complexity 2.4 The Importance ofBeingPolynomial 2.5 TractabilityandMathematicalInsight Problems Notes 3 Insights and Algorithms 3.1 Recursion 3.2 Divide and Conquer 3.3 DynamicProgramming 3.4 GettingThere FromHere 3.5 When Greedis Good 3.6 FindingaBetterFlow 3.7 Flows,Cuts,and Duality 3.8 Transformations andReductions Problems Notes 4 NeedlesInaHaystack:theClassNP 4.1 Needles andHaystacks 4.2 AT0ur 0fNP 4.3 Search。Existence,andNondeterminism 4.4 Knots and Primes Problems Notes 5 WhO is the Hardest One of All?NP-Completeness 5.1 Ⅵmen 0ne Problem CapturesThemAll 5.2 Circuits andFormulas 5.3 DesigningReductions 5.4 Completeness as aSurprise 5.5 The BoundaryBetween EasyandHard 5.6 Finally,Hamfltonian path Problems Notes 6 The Deep Question:P vs.NP 6.1 WhatifP=NP 6.2 UpperBounds are Easy,LowerBoundsAre Hard 6.3 Diagonalization andthe Time Hierarchy 6.4 PossibleWbrlds 6.5 NaturalProofs 6.6 Problemsinthe Gap 6.7 Nonconstructive PrOOfs 6.8 The RoadAhead Problems Notes 7 The Grand Unified Theory of Computation 7.1 Babbage~Vision and Hilbert's Dream 7.2 Universalityand Undecidabnit、 7.3 BuildingBlocks:Recursive Functions 7.4 Formis Function:the A—Calculus 7.5 Turing'sApplied Philosophy 7.6 ComputationEverywhere Problems Notes 8 Memory,Paths,and Games 8.1 Wlelcometothe State Space 8.2 ShowMe TheWay 8.3 LandNL.Completeness 8.4 Middle.First Search and Nondeterministic Space 8.5 Y0u Cant GetThereFromHere 8.6 PSPACE,Games,and Quantified SAT 8.7 Games People Play 8.8 Symmetric Space Problems Notes 9 Optimization and Approximation 9.1 Three Flavors ofOptimization 9.2 Approximations 9.3 Inapproximability 9.4 Jewels andFacets:LinearProgramming 9.5 Throughthe Looking-Glass:Duality 9.6 SolvingbyBalloon:InteriorPointMethods 9.7 Huntingwitll EggsheHs 9.8 A1gorithmic Cubism 9.9 Trees,Tours,andPolytopes 9.10 SolvingHard ProblemsinPractice Problems Notes 10 Randomized Algorithms 10.1 FoilingtheAdversary 10.2 111e SmallestCut 10.3 The Satisfied Drunkard:WalkSAT 10.4 Solvingin Heaven.Projectingto Earth 10.5 GamesAgainsttheAdversary 10.6 Fingerprints,HashFunctions,andUniqueness 10.7 The Roots ofIdentity 10.8 Primalit、 10.9 Randomized ComplexityClasses Problems Notes 11 Interacflon and Pseudorandomness 11.1 TheTale ofArthurandMerlin 11.2 The Fable ofthe Chess Master 11.3 ProbabilisticallyCheckable Proofs 11.4 Pseudorandom Generators and Derandomization Problems Nores 12 Random Walks and Rapid Mixing 12.1 A Random、^mkin Physics 12.2 The Approachto Equfl~rium 12.3 EquflibriumIndicators 12.4 Coupling .... 12.5 Coloring aGraph.Randomly 12.6 BuryingAncientHistory:CouplingfromthePast 12.7 The Spectral Gap 12.8 FlOWS ofProbabnity:Conductance 12.9 Expanders 12.10 MixinginTime andSpace Problems Notes 13 Counting,Sampling,and StatisflcM Physics 13.1 SpanningTrees andthe Determinant 13.2 PerfectMatchings andthe Permanent 13.3 The ComplexityofCounting 13.4 From Countingto Sampling.and Back 13.5 RandomMatchings andApproximatingthePermanent 13.6 P1anal:Graphs andAsymptotics onLattices 13.7 SolvingtheIsingModel Problems Notes 14 When Formulas Freeze:Phase Transitons in Computation 14.1 Experiments and Coniectures 14.2 Random Graphs,Giant Components,and Cores 14.3 Equations of Motion:Algorithmic Lower Bounds 14.4 Magic Moments 14.5 The Easiest Hard |
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