Changes between Version 3 and Version 4 of Features


Ignore:
Timestamp:
06/14/08 07:24:22 (9 years ago)
Author:
regis.lebrun@…
Comment:

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  • Features

    v3 v4  
    22 
    33OpenTURNS is able to perform a complete probabilistic study: 
    4  * The first step consists in quantifying uncertainty sources : OpenTURNS provides tools that can analyze data samples in order to chose the best uncertainty source modeling ; 
    5  * The second step of a study  allows to spread the uncertainty in a physical model ; 
    6  * The third step of a study gives the possibility to analyze the importance of each parameter (ranking uncertainty sources, sensitivity analysis). 
     4 * The first step consists in identifying the numerical model through which one wants to propagate uncertainties, and to define the decision criteria 
     5 * The second step consists in quantifying uncertainty sources : OpenTURNS provides tools that can analyze data samples in order to chose the best uncertainty source modeling ; 
     6 * The third step of a study allows to propagate the uncertainty in the numerical model ; 
     7 * The fourth step of a study gives the possibility to analyze the importance of each parameter (ranking uncertainty sources, sensitivity analysis). 
    78 
    8 All the OpenTURNS' features (of version 0.9.1) for each step are listed below: 
     9All the OpenTURNS' features (of version 0.12.0) for each step are listed below: 
    910 
    1011= First step: Quantifying uncertainty sources  = 
    1112 
     13 * Definition of the numerical model : 
     14   - Link with external numerical simulation process (wrapper) 
     15   - Analytical formulas 
     16   - Python functions 
     17   - Meta-model by Taylor Extension 
     18   - Meta-model by Least Square method 
     19 * Scalar failure criteria 
     20 
     21= Second step: Quantifying uncertainty sources  = 
     22 
    1223 * Empirical cumulative distribution function 
    13  * Density by Kernel Smoothing (Gaussian Kernel) 
     24 * Density by Kernel Smoothing (General Kernel Product) 
     25 * Composed distribution (1D marginals and copula) 
     26 * Composed copula (copulas linked by the Independent Copula) 
    1427 * Standard parametric models: 
    1528  - Normal 
     
    2841  - Poisson 
    2942  - Multi-normal 
     43  - Non-central Student 
     44  - Epanechnikov 
    3045 * Independent Copula 
    3146 * Normal Copula 
     47 * Clayton copula 
     48 * Franck copula 
     49 * Gumbel Copula 
    3250 * Using QQ-plot to compare two samples 
    3351 * Smirnov's test 
     
    4765 
    4866 
    49 = Second step: Uncertainty propagation = 
     67= Third step: Uncertainty propagation = 
    5068 
    5169 * Min-Max Approach using Design of Experiments 
     70 * Deterministic Min-Max using TNC (Truncated Newton Constrained) algorithm 
    5271 * Quadratic Combination / Perturbation Method 
    5372 * Estimating the mean and variance using the MC Method 
     
    5877  - Cobyla 
    5978  - AbdoRackwitz 
     79  - SQP 
    6080 * Calculation of Reliability index : 
    6181  - Hasofer reliability index 
     
    6484  - Generalized HohenBichler reliability index 
    6585  - Generalized Tvedt reliability index 
    66  * Sphere sampling method 
    6786 * Design point validation : Strong Maximum Test 
    68  * Estimating the probability of an event using Monte Carlo Sampling 
    69  * Estimating the probability of an event using Importance Sampling 
    70  * DEstimating the probability of an event using irectional Simulation 
    71  * Estimating the probability of an event using Latin Hypercube Sampling 
     87 * Estimating the probability of an event : 
     88  - Monte Carlo Sampling 
     89  - Importance Sampling 
     90  - Directional Simulation 
     91  - Latin Hypercube Sampling 
     92  - Controlled Importance Sampling in standard space 
    7293 * Estimating a quantile by Sampling / Wilk's Method 
    73  * Response Surface by Taylor Extension 
    74  * Polynomial response Surface 
    75  * Response surface obtained by Least Square method 
    7694 
    77  
    78 = Third step: Ranking uncertainty sources / sensitivity analysis = 
     95= Fourth step: Ranking uncertainty sources / sensitivity analysis = 
    7996 
    8097 * Importance Factors derived from Quadratic Combination Method