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228 012 (0,599s)

Result

Efficient Methods for Uncertainty Quantification

An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review and comparison of several approaches such as stochastic

JM - Inženýrské stavitelství

  • 2013
  • D
Result

Comparison of Numerical Methods for Uncertainty Quantification

An extensive development of efficient methods for stochastic modelling enabled and comparison of several approaches such as stochastic Galerkin method, stochastic collocation method or polynomial ...

JM - Inženýrské stavitelství

  • 2013
  • D
Result

Comparison of Stochastic Methods for Bayesian Updating of Uncertainty in Parameters of Nonlinear Models

An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review and comparison of several approaches such as stochastic

JM - Inženýrské stavitelství

  • 2012
  • O
  • Link
Result

Stochastic Equations and Stochastic Methods in Partial Differential Equations

In the first part of the paper, basic notions of stochastic analysis and probability theory are recalled, including the concept of stochastic integration, and some. The second part of the paper is a review of applications of sto...

BA - Obecná matematika

  • 2006
  • D
Result

Application of stochastic methods for the strain and stability analysis of the slope

The paper specifies the fundamentals of stochastic simulation Latin Hypercube Sampling Method (LHS) and presents examples of application of this method for the solution of the stress - strain and stability state of the slop...

JM - Inženýrské stavitelství

  • 2013
  • D
Result

Polynomial chaos-based Evaluation of Failure Probability: A numerical study

An extensive development of efficient methods for stochastic modelling enabled and comparison of several approaches such as stochastic Galerkin method, stochastic collocation method or regression ...

JM - Inženýrské stavitelství

  • 2013
  • D
Result

An introduction to numerical methods for solving stochastic differential equations

The aim of this paper is to provide an accessible introduction to numerical methods for solving stochastic differential equations (SDEs). Euler--Maruyama and Milstein methods are tested on a trivial example where we also kn...

BA - Obecná matematika

  • 2002
  • D
Result

MOdelling stress of box girder using stochastic finite elements.

Stress of cocrete box girder and its uncertainties. Solution using stochastic finite element method.

JM - Inženýrské stavitelství

  • 1999
  • D
Result

Stochastic Programming Models and Methods for Technical Applications

Various stochastic programming models and methods are introduced and studied in the context of technical applications.

BB - Aplikovaná statistika, operační výzkum

  • 2002
  • D
Result

Software for computing of local optimum by chosen stochastic optimization methods

Software is for computing of local optimum by chosen stochastic optimization methods. It is possible to select vary for computing. The file contains source code....

AE - Řízení, správa a administrativa

  • 2012
  • R
  • Link
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