probnum¶
ProbNum implements probabilistic numerical methods in Python. Such methods solve numerical problems from linear algebra, optimization, quadrature and differential equations using probabilistic inference. This approach captures uncertainty arising from finite computational resources and stochastic input.
Subpackage |
Description |
Probabilistic solvers for ordinary differential equations. |
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Bayesian filtering and smoothing. |
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Kernels / covariance functions. |
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Probabilistic numerical linear algebra. |
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Finite-dimensional linear operators. |
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Definitions and collection of problems solved by PN methods. |
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Bayesian quadrature / numerical integration. |
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Random processes representing uncertain functions. |
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Random variables representing uncertain values. |
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Probabilistic state space models. |
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Utility functions. |
Classes¶
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Probabilistic numerical methods. |