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Heermann D.W. - Computer Simulation Methods in Theoretical Physics :: Электронная библиотека попечительского совета мехмата МГУ
 
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Heermann D.W. - Computer Simulation Methods in Theoretical Physics
Heermann D.W. - Computer Simulation Methods in Theoretical Physics

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Название: Computer Simulation Methods in Theoretical Physics

Автор: Heermann D.W.

Аннотация:

A slim little text designed to acquaint advanced undergraduate and beginning graduate students of physics (knowledge of classical mechanics, statistical mechanics and computer programming is assumed) with the art and excitement of the topic to which the title refers. Four chapters (Introductory examples, Computer-simulation methods, Deterministic methods, Stochastic methods) provide the student with what is in effect a computer-lab workbook, an invitation to learn "hands-on" some exciting things both about applied computation and about physics. An appendix provides information about random number generators, and there is a useful bibliography. (NW) Annotation copyright Book News, Inc. Portland, Or.


Язык: en

Рубрика: Физика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: second edition

Год издания: 1990

Количество страниц: 145

Добавлена в каталог: 23.02.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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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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