APIΒΆ
This section details classes, functions included in the Python bindings.
- Base objects
- Data analysis
- Probabilistic modeling
- Continuous parametric distributions
- Discrete parametric distributions
- Parametrized distributions
- Pseudo-random numbers generator
- Combining and transforming distributions
- Copulas
- Combining and transforming copulas
- Random vectors
- Markov Chain Monte Carlo (MCMC)
- Low-level distribution functions
- Isoprobabilistic transformation
- Stochastic process modeling
- Surrogate modeling
- Designs of experiments
- Reliability
- Sensitivity Analysis
- Functional modeling
- General mathematical functions
- Algebra of functions
- Field and mixed functions
- Collection of functions
- Finite differentiation schemes
- Evaluation functions
- Gradient functions
- Hessian functions
- Differential equation solvers
- Special functions
- Special constants
- External code coupling
- 1-D functions
- Testing module
- Orthogonal basis
- Calibration
- Numerical methods
- Graphs
- Configuration
- Common use cases
OpenTURNS