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  Contents  
 
1 Introduction to Optimization 1
  Bibliography 6
2 Complexity Theory 9
2.1 Algorithms 9
2.2 Time Complexity 16
2.3 NP Completeness 19
2.4 Programming Techniques 26
  Bibliography 34
3 Graphs 37
3.1 Graphs 37
3.2 Trees and Lists 39
3.3 Networks 42
3.4 Graph Representations 44
3.5 Basic Graph Algorithms 48
3.6 NP-Complete Graph Problems 50
  Bibliography 52
4 Simple Graph Algorithms 53
4.1 The Connectivity-percolation Problem 53
4.1.1 Hoshen-Kopelman Algorithm 54
4.1.2 Other Algorithms for Connectivity Percolation 57
4.1.3 General Search Algorithms 57
4.2 Shortest-path Algorithms 61
4.2.1 The Directed Polymer in a Random Medium 62
4.2.2 Dijkstra´s Algorithm 63
4.2.3 Label-correcting Algorithm 67
4.3 Minimum Spanning Tree 68
  Bibliography 71
5 Introduction to Statistical Physics 73
5.1 Basics of Statistical Physics 73
5.2 Phase Transitions 78
5.3 Percolation and Finite-size Scaling 81
5.4 Magnetic Transition 84
5.5 Disordered Systems 87
  Bibliography 90
6 Maximum-flow Methods 91
6.1 Random-field Systems and Diluted Antiferromagnets 92
6.2 Transformation to a Graph 96
6.3 Simple Maximum Flow Algorithms 102
6.4 Dinic´s Method and the Wave Algorithm 107
6.5 Calculating all Ground States 115
6.6 Results for the RFIM and the DAFF 121
  Bibliography 125
7 Minimum-cost Flows 129
7.1 Motivation 129
7.2 The Solution of the N-Line Problem 133
7.3 Convex Mincost-flow Problems in Physics 136
7.4 General Minimum-cost-flow Algorithms 139
7.5 Miscellaneous Results for Different Models 147
  Bibliography 155
8 Genetic Algorithms 159
8.1 The Basic Scheme 159
8.2 Finding the Minimum of a Function 164
8.3 Ground States of One-dimensional Quantum Systems 172
8.4 Orbital Parameters of Interacting Galaxies 178
  Bibliography 183
9 Approximation Methods for Spin Glasses 185
9.1 Spin Glasses 185
9.1.1 Experimental Results 187
9.1.2 Theoretical Approaches 190
9.2 Genetic Cluster-exact Approximation 192
9.3 Energy and Ground-state Statistics 203
9.4 Ballistic Search 208
9.5 Results 219
  Bibliography 222
10 Matchings 227
10.1 Matching and Spin Glasses 227
10.2 Definition of the General Matching Problem 228
10.3 Augmenting Paths 230
10.4 Matching Algorithms 231
10.4.1 Maximum-cardinality Matching on Bipartite Graphs 231
10.4.2 Minimum-weight Perfect Bipartite Matching 235
10.4.3 Cardinality Matching on General Graphs 241
10.4.4 Minimum-weight Perfect Matching on General Graphs 242
10.5 Ground-state Calculations in 2d 250
  Bibliography 252
11 Monte Carlo Methods 255
11.1 Stochastic Optimization: Simple Concepts 255
11.2 Simulated Annealing 257
11.3 Parallel Tempering 260
11.4 Prune-enriched Rosenbluth Method (PERM) 262
11.5 Protein Folding 266
  Bibliography 270
12 Branch-and-bound Methods 273
12.1 Vertex Covers 274
12.2 Numerical Methods 277
12.3 Results 287
  Bibliography 291
13 Practical Issues 293
13.1 Software-Engineering 293
13.2 Object-oriented Software Development 300
13.3 Programming Style 306
13.4 Programming Tools 310
13.4.1 Using Macros 310
13.4.2 Make Files 314
13.4.3 Scripts 317
13.5 Libraries 319
13.5.1 Numerical Recipes 319
13.5.2 LEDA 321
13.5.3 Creating your own Libraries 323
13.6 Random Numbers 324
13.6.1 Generating Random Numbers 324
13.6.2 Inversion Method 327
13.6.3 Rejection Method 328
13.6.4 The Gaussian Distribution 330
13.7 Tools for Testing 331
13.7.1 gdb 332
13.7.2 ddd 334
13.7.3 checkergcc 334
13.8 Evaluating Data 338
13.8.1 Data Plotting 338
13.8.2 Curve Fitting 340
13.8.3 Finite-size Scaling 343
13.9 Information Retrieval and Publishing 347
13.9.1 Searching for Literature 347
13.9.2 Preparing Publications 349
  Bibliography 355
  Index 359

 
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