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| Авторизация |
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| Heermann D.W. — Computer Simulation Methods in Theoretical Physics |
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| Предметный указатель |
Absolute activity 96
Ad hoc scaling 30 31 36
Antiferromagnetism 75
Aperiodicity 54
Argon 30 60 113 121
Average 9
Average ensemble 9 22 62 70
Average time 9
Average trajectory 22 36 62 70
Basic time step 26
Big-Oh 17
Block distribution function 102
BOND 91
Boundary conditions, free 77
Boundary conditions, helical 102
Boundary conditions, non-standard 77
Boundary conditions, periodic 15 30 77
Boundary conditions, self consistent field 77
Brownian dynamics 55 121
Cellular automata 101
Central limit theorem 64
chemical potential 96
Cluster 1 91
Coarse graining 84
Compressibility 102
Computational complexity 35
Conditional probability 52
Corrector 19
Correlation function 57
correlation length 82 85
Correlation time 10 58
Critical point 75
Critical slowing down 90
Cumulative distribution 87
CYCLE 105
d-space non-uniformity 107
Damped force method 36
Demon 74
Detailed balance 69 79
Deterministic approach 6 9
Difference quotient, backward 18
Difference quotient, forward 18
Diffusion Limited Aggregation 7
Discretization 5 17
Discretization error 18
Discretization error, global 18
Discretization error, local 18
Ealer algorithm 18
Eden cluster 7
Energy, drift 20 23
Energy, fluctuations 32 36 38 40
Ensemble, Canonical 35 78
Ensemble, grand 96
Ensemble, isothermal-isobaric 42 94
Ensemble, microcanonical 27 73
entropy 84
Equations of motion 14 17 59
Equations of motion, Hamilton 59
Equations of motion, Lagrangian 38
Equations of motion, Newtonian 27
Equilibration 26
Equilibration phase 30
Equipartifion theorem 23
Ergodicity 53 68 71 101
Ewald sum 16
Exchange coupling 75
Exclusive-OR 108
Explicit central difference 28
Feed-back shift register 107
Ferromagnefism 75
Finite difference scheme 17
Finite size effect 10
Fluctuations 11
Fourier acceleration 94
Free energy 70 83
Free energy, Ginzburg — Landau — Wilson 85
Gaussian principle of least constraint 40
Gaussian process 58
Generalized force 38
Ghost particles 98
Glauber function 81 100
Heat bath 35 40 59 78 103
Image particle 16
Initial value problem 17
Intrinsic dynamics 9
Irreducibility 53
Ising model 75 85 90 100 128
Kauffman model 102
Kawasaki dynamics 80 100
Lagrangian 38
Langevin equation 14 56
Law of Large Numbers 63
Law, strong 64
Leapfrog algorithm 37
Lennard — Jones potential 30 40 70 83 113 121
magnetization 75
| Magnetization, finite size dependence 82
Magnetization, spontaneous 75 81
Markov chain 51
Markov process 10 51
Master equation 68
mean field 85
Mean recunrrence time 54
Mersenne number 106
Metropolis 68
Metropolis function 81 100
Microscopic reversibility 69
Minimum image convention 16 30
Modulo generator 105
Molecular Dynamics 6 13
Molecular dynamics, canonical 35
Molecular dynamics, cell 15 22 30
Molecular dynamics, iso-kinetic 36 41
Molecular dynamics, isothermo-isobaric 42
Molecular dynamics, Metropolis 81
Molecular dynamics, microcanonical 27 113
Molecular dynamics, NVT 38
Molecular dynamics, step 20
Monte-Carlo, canonical 78
Monte-Carlo, Cyeutz method 73 101 128
Monte-Carlo, dynamic interpretation 71
Monte-Carlo, grand ensemble 97 99
Monte-Carlo, hybrid 94
Monte-Carlo, method 3 62
Monte-Carlo, NPT 95
Monte-Carlo, step (MCS) 76
Multistep method 19
Non-holonomic constraint 36 38
Observation time 9
One-step method 18
Order parameter 75 85
Order parameter, finite size dependence 88
Pair correlation function 24
Particles, creation 96
Particles, destruction 96
Partition function 66 83 91 94 96
Percolation 1 91
Percolation, bond 6
Period 54
persistent 54
Phase space 8
Phase transition 75 89
Polar method 111
Potential cut-off 22
Potts model 90
Predictor 19
Probability distribution, invariant 53
Probability distribution, stationary 53
Pseudorandom numbers 105
Q2R model 101
R250 108
Random force 56
Random number generator 104
Random numbers 104
Random numbers, correlation 107
Random walk 6 51 74
Realization 2
Relaxation times 26
Round-off error 21
Sampling, importance 65
Sampling, straightforward 63
Seed 105
Self-averaging, strong 11
Self-averaging, weak 11
Self-avoiding walk 51 74 101
Single-site probability 86
Spectral density 56
Spin 75
Spin flip 75 80
Spring 4
Statistical error 10
Steepest descent 66
Stochastic approach 1 9
Stochastic differential equation 15
Stochastic dynamics 55
Stochastic integral 56
Stochastic matrix 53
Stochastic supplements 36
Summed form 29
susceptibility 85
Tail correction 24
Taylor expansion 17
Time integration 17
Time reversibility 29
Trajectory 5 9 13 55
Transition probability 52 68 79 83 97 100
Transition probability, Monte-Carlo 52
Two-body central force 28
Two-step method 28
Velocity form 29
Verlet algorithm 28
Verlet table 35 50
Virtual particles 98
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