Abstract
Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors.
The
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© 2018 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Nesting Monte Carlo for high-dimensional non-linear PDEs
- Strong rate of convergence for the Euler–Maruyama approximation of one-dimensional stochastic differential equations involving the local time at point zero
- Global sensitivity analysis for a stochastic flow problem
- Sampling from the đť’˘I0 distribution
- A second-order weak approximation of SDEs using a Markov chain without Lévy area simulation
- On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters
- Random walk algorithms for elliptic equations and boundary singularities
Artikel in diesem Heft
- Frontmatter
- Nesting Monte Carlo for high-dimensional non-linear PDEs
- Strong rate of convergence for the Euler–Maruyama approximation of one-dimensional stochastic differential equations involving the local time at point zero
- Global sensitivity analysis for a stochastic flow problem
- Sampling from the đť’˘I0 distribution
- A second-order weak approximation of SDEs using a Markov chain without Lévy area simulation
- On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters
- Random walk algorithms for elliptic equations and boundary singularities