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Kloeden P/, Platen E., Schurz H. — Numerical solution of SDE through computer experiments
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Название: Numerical solution of SDE through computer experiments
Авторы: Kloeden P/, Platen E., Schurz H.
Аннотация: The book provides an easily accessible computationally oriented introduction into the numerical solution of stochastic differential equations using computer experiments. It develops in the reader an ability to apply numerical methods solving stochastic differential equations in their own fields. Furthermore, it creates an intuitive understanding of the necessary theoretical background from stochastic and numeric analysis. A downloadable softward containing programs for over 100 problems is provided at each of the following homepages:
http://www.math.uni-frankfurt.de/~numerik/kloeden/ http://www.business.uts.edu.au/finance/staff/eckhard.html http.//www.math.siu.edu/schurz/SOFTWARE/
to enable the reader to develop an intuitive understanding of the issues involved. Applications include stochastic dynamical systems, filtering, parametric estimation and finance modeling.
The book is intended for readers without specialist stochastic background who want to apply such numerical methods to stochastic differential equations that arise in their own filed.
Язык:
Рубрика: Computer science /
Статус предметного указателя: Готов указатель с номерами страниц
ed2k: ed2k stats
Год издания: 1994
Количество страниц: 309
Добавлена в каталог: 14.01.2014
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Предметный указатель
, intersection of sets A and B 2
, union of sets A and B 2
, a element of set A 1
, b is much larger then a 132
, drift coefficient of an SDE 73
, ith drift component 73
, ith component of diffusion coefficient 73
, diffusion coefficient corresponding to 73
, covariance of and 24
, exponential function 4
, inverse of function F 10
, distribution function of random variable X 3
, imaginary part of a complex number 132
, multiple Ito integral 89 140
, , indicator function of event A 3 90
, approximate multiple Stratonovich integral 8
, multiple Stratonovich integral 82 140
, limes for 27
, logarithm (to the base e) 11
, , , differential operators 78 139
, maximum 65
, Gaussian distributed with mean and variance 21
, largest integer for which 111
, real part of a complex number 132
, quantile of Student t-distribution 33
, random variable for double Wiener integrals 182
, time (in compact notation) 82 140
, jth component of a Wiener process at time t 73
, transpose of matrix X 74
, approximation Y at discretization time 110
, , Wiener process increment 110 140
, , multiple stochastic integral 146
, , , time step size 70 110
, empty set 2
, absolute error 115
, second order partial derivative of a 73
, partial derivative of a with respect to x 73
, estimate for absolute error 115 118
, estimate for mean error 124
, sample average 17 33
, sample variance 17 33
, infinity 27
, Ito integral 66
, Stratonovich integral 67
, (Lebesgue, Riemann) integral 63
, -algebra 2 56
, positive real line 3
, d-dimensional Euclidean space 3
, mean error 124
, event, outcome 1
, sample space 1
-algebra 2 56 64 238
, discretization time 110
, Stratonovich corrected drift 75 140
, , , differential operators 80 139
, Euclidean norm 15
(a,b), open interval from a to b 4
100 %, level of significance 32
a,b,..., abbreviation in schemes for 140
A-stable 136
a.s., almost surely 2
Absolute error 118 170
Absolute error, criterion 115
Absolute stability region 136
Adams — Bashford method 99
Additive noise 69 142
Almost surely (a.s.) 2
Approximation, discrete time 110
Approximation, multiple integral 144
Approximation, pathwise 115
Approximation, variance reducing 207
Asymptotic stability 256
batch 33 118 125
Batch average 118 125
Bernoulli trials 31
Bifurcation 255 262
Bonhoeffer — Van der Pol equation 219
Box — Muller method 11
Brownian bridge 59
Brownian bridge, process 81
Brownian motion 50
Brusselator equation 260
Central limit theorem 30 32
Chebychev inequality 32
Commutative noise 145
Commutativity condition 145
Commutativity condition, second 148
computer time 14 171
Conditional density 22
Conditional expectation 22 56
Conditional probability 22
Confidence interval 32 117 118 125
Congruential generator 40
Congruential generator, linear 40
Convergence in distribution 27
Convergence in law 27
Convergence with probability one (w.p.1) 27
Convergence, almost sure 27
Convergence, mean-square 27
Convergence, strong 27 122
Convergence, weak 27 128
Converges weakly 128
Converges weakly with order 128
Correlated Gaussian random variables 24
Covariance 24
d, dimension of Ito process X 139
Density function 4 30
Density, conditional 22
Density, optimal 211
Diffeomorphism 222
Difference method 91
Diffusion coefficient 72 73
Diffusion process 72
Discretization error, global 92
Discretization error, local 92
Distribution function 3
Distribution, exponential 4
Distribution, Gaussian 5 22
Distribution, Poisson 4
Distribution, uniform 4
Drift coefficient 72 73
Drift, corrected 139
Duffing — Van der Pol oscillator 222
Dynamical system 219
E(X), expectation of X 17
E(X|A), conditional expectation of X under A 22
e, Eulers number 10
Ergodic criterion 254
Ergodicity 46
Error, statistical 127
Error, systematic 127
Estimator, one-point 210
Estimator, testing parametric 229
Estimator, unbiased 214
Estimator, unbiased, variance reducing 214
Estimator, variance reducing 209
Euler approximation 110
Euler estimator, direct 211
Euler estimator, direct, unbiased 215
Euler estimator, variance reducing 211
Euler estimator, variance reducing, unbiased 215
Euler method 110
Euler method, deterministic 91
Euler method, fully implicit 196
Euler method, implicit 136 158
Euler method, simplified weak 180
Euler scheme 111 140 179
Euler scheme, implicit 136 158 194 196 242
Euler scheme, implicit, fully 196
Euler — Maruyama approximation 110 140
Euler — Maruyama scheme 140
Event 1
Expectation, approximating 115
Expectation, conditional 22 56
Expected value 17
Experiment 3
Explicit, strong scheme, order 1.0 151 152
Explicit, strong scheme, order 1.5 153
Explicit, strong scheme, order 2.0 154
Explicit, weak scheme 186
Explicit, weak scheme, order 2.0 186 203
Explicit, weak scheme, order 3.0 188 204
Exponential functional 251
Exponentially distributed 21 23 49
Extrapolation method 100
Extrapolation, fourth order 192 205 249
Extrapolation, order 6.0 weak 192
Extrapolation, second order 189 203
Extrapolation, third order 192 204
Functional 246
Functional integral 246
Gaussian density 5
Gaussian process 59
Gaussian process, independent increments 50
Gaussian standard distribution 5
Girsanov transformation 208
Goodness-of-fit test 35
Heun method 98
histogram 17 20 35 38
Histogram, frequency 222
I, unit matrix 158
Implicit, filter 242
Implicit, scheme 225
Implicit, weak scheme order 2.0 197 203 248
Independent 3 26 39
Independent identically distributed (i.i.d) 29
Independent increments 50
Indicator function 3 90
Inequality, Chebyshev 32
Inequality, Lyapunov 27
infty, infimum 10
Initial value problem (IVP) 91
Integral, Ito 64 66
Integral, Stratonovich 67
Intensity matrix 48
Interpolation, linear 111
Interpolation, piecewise constant 111
Invariant measure 246
Invariant probability law 253
Inverse transform method 11
Ito diffusion process 72
Ito formula 68 73 78
Ito integral 64 66
Ito integral, multiple 79 89
Ito process ergodic 253
Ito stochastic differential equation 75
Ito — Taylor expansion 78 79
Joint distribution function 26
Karhunen — Loeve expansion 57
Kolmogorov — Smirnov test 38
l!, factorial of l 77
Lagged-Fibonacci generator 16
Langevin equation 69
Law of Large Numbers 29 32 55
level of significance 32
Linear congruential generator 40
Linear congruential method 15
Logarithmic coordinates 94 126
Lyapunov exponent 134 228 256ff.
Lyapunov inequality 27
m, dimension of Wiener process W 139
Markov chain 43
Markov chain filter 239
Markov chain, continuous time 48
Markov chain, continuous time finite-state 238
Markov chain, discrete time 43
Markov chain, ergodic 47 50
Markov chain, filtering 238
Markov chain, finite-state 238
Markov chain, hidden 244
Markov chain, homogeneous 44 48
Markov property 43
Martingale 56 66 266
Maximum Likelihood Estimation 230
Mean error 124 128 202
Mean value 17
Mean-square error 28
Measure transformation method 207 251
Midpoint method 104
Milstein scheme 142 145
Milstein scheme, implicit 161
mod c, modulus c 8
Moment pth- 22
Multi-index 82
Multiple Ito integral 140
Multiple Stratonovich integral 82 140
Multiple Stratonovich integral, approximation 82
Multiplicative noise 70 223
Multistep method 98
Noise, additive 69 142
Noise, multiplicative 70 223
Noise, scalar 148
Noisy limit cycle 221 263
Nonanticipativeness 66
Normally distributed 5
Null hypothesis 33
Numerical stability 129
ODE, ordinary differential equation XIII
Operator differential 139
Optimal density 211
Option price 266
Order of strong convergence 122
Order of weak convergence 128
Ornstein — Uhlenbeck process 69 231 25
P(.|.), conditional probability 2
P, probability measure 2
Parabolic equation 247
PDE, partial differential equation XIV
Pearson statistic 35
Period 16
Poisson distribution 4
Polar Marsaglia method 12
Population growth model 234
Predictor-corrector method 98
Predictor-corrector method, order 1.0 weak 198
Predictor-corrector method, order 2.0 weak 199f. 203
probability 1 2
Probability measure 2
Probability one 2
Probability space 2 43
Probability vector 44 48
Probability vector stationary 46 49
Probability, conditional 2 43
Pseudo-random number 8
Pseudo-random number, Gaussian 11
Pseudo-random number, generator linear congruential 8
Radon — Nikodym derivative 230
Random number exponential 11
Random telegraphic noise 49
Random variable 3 26 43
Random variable, continuous 4
Random variable, Gaussian 5 22
Random variable, independent 26
Random variable, N-state 10
Random variable, standard Gaussian 5 21
Random variable, three-point 182
Random variable, two-point 3 10 52 180
Random walk 52 55
Realization 43
Rectangular density function 4
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