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Hartmann A.K., Rieger H. — Optimization Algorithms in Physics
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Название: Optimization Algorithms in Physics
Авторы: Hartmann A.K., Rieger H.
Аннотация: The past few years have witnessed a substantial growth in the number of applications for optimization algorithms in solving problems in the field of physics. Examples include determining the structure of molecules, estimating the parameters of interacting galaxies, the ground states of electronic quantum systems, the behavior of disordered magnetic materials, and phase transitions in combinatorial optimization problems.
This book serves as an introduction to the field, while also presenting a complete overview of modern algorithms. The authors begin with the relevant foundations from computer science, graph theory and statistical physics, before moving on to thoroughly explain algorithms - backed by illustrative examples. They include pertinent mathematical transformations, which in turn are used to make the physical problems tractable with methods from combinatorial optimization. Throughout, a number of interesting results are shown for all physical examples. The final chapter provides numerous practical hints on software development, testing programs, and evaluating the results of computer experiments.
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Рубрика: Математика /Оптимизация и управление /
Статус предметного указателя: Готов указатель с номерами страниц
ed2k: ed2k stats
Год издания: 2002
Количество страниц: 372
Добавлена в каталог: 23.04.2005
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Предметный указатель
"Go with the winners" strategy 266
#define 310
#ifdef 311
#ifndef 311
187
54 81
92—93
190
187 188
92—93
189
89
notation 17
54 81—84
54
190
92
78 80 84 136
95
189
85
54 80 81 84 123
81
81 84
123
84
54 81 84
349—351
23
54 82 123 252
81
81
155
-polymer 262
207 251
54 82 84
-D option 311
-help option 299
-Wall option 298
1-SAT algorithm 21
2-CNF 20
3-CNF 20
3-SAT 22 23
Adjacency list 46
Adjacency matrix 46
Adjacent node 37
Aging 187 190
Algorithm 9
Algorithm for spin glasses 192—202 208—219
Algorithm, 1-SAT 21
Algorithm, approximation for 2d spin glasses 250
Algorithm, bit-sequence 165
Algorithm, branch-and-bound 194 282—287
Algorithm, branch-and-cut 194
Algorithm, breadth-first search 59—61 104 108 115 231—234
Algorithm, build-cluster 196
Algorithm, burning 54 57
Algorithm, certificate checking 22
Algorithm, cluster 77
Algorithm, conjugate gradient 170
Algorithm, cycle canceling 142
Algorithm, decision 20
Algorithm, depth-first search 57—59
Algorithm, Dijkstra's 63—67 70
Algorithm, Dinic's 107—115
Algorithm, divide-and-conquer 281—282
Algorithm, ellipsoid 236
Algorithm, extend-alternating-tree 233
Algorithm, factorial 27
Algorithm, fibonachi 32
Algorithm, find 48
Algorithm, Ford — Fulkerson 102—107
Algorithm, forest-fire 54 57
Algorithm, generalized Rosenbluth 263
Algorithm, genetic 159—183 195 199—202
Algorithm, graph 48—49 53—70
Algorithm, greedy cover 278
Algorithm, Hoshen — Kopelman 54—57
Algorithm, Hungarian 235 237—241
Algorithm, invasion 54 70
Algorithm, Kruskal's 69 70
Algorithm, label-setting 63
Algorithm, Leath 54 57
Algorithm, local optimization 170
Algorithm, matching 194 231—250
Algorithm, maximum-flow 143
Algorithm, mergesort 30
Algorithm, minimize-function 167
Algorithm, minimum spanning tree 68—70
Algorithm, minimum-cost-flow 139—147
Algorithm, minimum-weight perfect matching 242—250
Algorithm, Monte Carlo 77 255—270
Algorithm, N queens 33
Algorithm, N-line 135
Algorithm, negative-cycle-canceling 68 141—143
Algorithm, nondeterministic 23
Algorithm, optimization 5
Algorithm, parallel tempering 260—262
Algorithm, Prim's 69 70
Algorithm, primal-dual 239
Algorithm, prune-enriched Rosenbluth 262—270
Algorithm, push-relabel 107
Algorithm, quantum Monte Carlo 266
Algorithm, random-walk 255
Algorithm, sequential 27
Algorithm, shortest path 61—68
Algorithm, simplex 236
Algorithm, simulated annealing 194 257—259
Algorithm, sorting 29
Algorithm, steepest descent 170
Algorithm, successive-shortest-path 135 139
Algorithm, threshold accepting 256
Algorithm, wave 107—115 121
All ground states 115—121
All minimum cuts 115—121
Alta Vista 349
Alternating path 229 230
Alternating tree 231
American Physical Society 349
Amino acid 266
Amorphous conductor 53
Ancestor 39
AND operation 19
Antiferromagnet 185 250
Antiferromagnetic interactions 4 91
Antiperiodic boundary conditions 205
Applications of optimization methods 1—2
Approximation algorithm for 2d spin glasses 250
APS 349
Arbitrary precision 321
ARC 37
Array 295 321 334
Array implementation of heaps 45
ASSIGNMENT 10 19 20
Assignment problem 235
Astronomy 179
Asymptotic behavior 17
Augmenting path 103 105 107 230 232—234 242
Augmenting path theorem 231
Autocorrelation function 78
awk 346
Backbone 275 290
Backtracking 32 242
Backward wave 110
Balance constraint 151
Balanced tree 49
Balanced vertex 109
Ballistic search 208—219
Base 242
Basic graph algorithms 48—49
Basic operations 296
Behavior, asymptotic 17
BFS 59 104 115 231—234
Biconnected component 59
Bimodal distribution 88 92 186
binary distribution 88
Binary representation 161 164
Binary tree 40 279
Binder cumulant 85
Biot — Savat law 138
Bipartite graph 229 231—241
Bit-sequence procedure 165
Bitmap 352
Blocked vertex 110
Blocking flow 107
Blossom 242
Blossom shrinking 242 245
Boltzmann constant 74
Boltzmann distribution 74
Boltzmann entropy 75
BOND 37 61 186
Boolean assignment 19 20
Boolean formula 19
Boolean operation 19
Boolean variable 19
Bottom up approach 295
Bound 282
Bound, lower 276
Bound, upper 17 276
boundary conditions 251
Boundary conditions, antiperiodic 205
Boundary conditions, periodic 205
Branch-and-bound algorithm 194 282—287
Branch-and-cut algorithm 194
Breadth-first search 59—61 104 108 115 231—234
BS 212
Bucket 67 70
Burgers charge 151
Burning algorithm 54 57
C programming language 293 300
canonical ensemble 74
Capacity 96 102
Capacity of cut 97
Capacity, constraint 43 129 140
Capsuling 301
Cases statement 10
CC 22
CEA 195—197 207 209 219
Center of mass 179
Central limit theorem 330
Certificate checking algorithm 22
Change-y procedure 247
Chaos 252
Checkerboard fashion 94 96
Checkergcc 334—338
Church's thesis 13
Citation database 348
class 295 297 300
Class, histo 303
Class, NP 22
Class, P 22
Clause 19
clean 316
Closed path 37
Cluster 55 81 195
Cluster, algorithm 77
Cluster, mass 83
Cluster, percolating 82
Cluster, size 54
Cluster-exact approximation 192—202 207 209 219
CNF 19
Columnar defect 147
Columnar disorder 137
Combinatorial optimization problem 2
comment 12 299 308—310 318
Complete tree 41
Component, biconnected 59
Component, connected 37 57
Component, strongly connected 116
Component, strongly-connected 38
Computable function 15
Condition 10
Conductor 53
Configuration file 294
Conjugate gradient algorithm 170
Conjunction 19
Conjunctive normal form 19
Connected component 37 57
Connected graph 37
Connectivity percolation 53—61
Conservation of energy 298
Conservation of flow 43 103
Conservation of momentum 298
const 298
Constraint 2
Constraint, capacity 43
constructor 305
Contact matrix 270
Continuous transition 78
Convex function 136 140
Convex minimum-cost-flow problem 136—139
Cooling 257
Cooling protocol 259
Correctness problem 16
Correlation 1-function 84
Correlation function 252
correlation length 54 82 84 252
Correlation time 78
costs 53 63
Costs, negative 132
Costs, reduced 64 133 135 143 244
Costs, residual 140
Cover 50
Cover, edge 50
Cover, minimum edge 50
Cover, vertex 51
Critical behavior 80
Critical, exponent 54 80 81
Critical, point 78
Crossover 161
Crossover, operation 166 173 182
Crossover, triadic 199
Crystal 257
Curve fitting 340—343
Cut, capacity of 97
Cut, minimum 99 101 115
Cut, odd 243
Cut, optimality condition 69
Cut, s-t 96
Cutoff 175
Cycle, canceling algorithm 142
Cycle, Euler 50
Cycle, Hamilton 50
Cycle, negative 53 68 132
DAFF 91 92—96 121—125 192
Data analysis 338—346
Data capsuling 301
Data collapse 85 123
Data Display Debugger (ddd) 334
Data structures 295 301
Debugging 297 332
debugging tools 331—338
Decidable problem 16
Decision algorithm 20
Deficit 143
Deficit node 145
Degeneracy 4 91 116 122 208 228 269
Degree 37
Degree of freedom 342
Delta-peak 221
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