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Author:
Haotian Deng
Summary:
This is a Python library for solving Hamilton-Jacobi-Bellman (HJB) equations using JAX. It provides a framework for numerical solutions to dynamic optimization problems in finance and economics.
Latest version:
0.1.6
Required dependencies:
cloudpickle
|
flax
|
jax
|
jaxopt
|
jaxtyping
|
matplotlib
|
numpy
|
optimistix
|
orbax-checkpoint
|
pandas
|
panel-print
|
pydantic
|
rich
|
tqdm
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