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Title: Python Guide & Performance Benchmark - XAD Automatic Differentiation

Open Graph Title: Python Guide & Performance Benchmark - XAD Automatic Differentiation

X Title: Python Guide & Performance Benchmark - XAD Automatic Differentiation

Description: Efficiently perform automatic differentiation in Python and benefit from huge performance gain for financial risk assessments using QuantLib-Risks powered by XAD.

Open Graph Description: Efficiently perform automatic differentiation in Python and benefit from huge performance gain for financial risk assessments using QuantLib-Risks powered by XAD.

X Description: Efficiently perform automatic differentiation in Python and benefit from huge performance gain for financial risk assessments using QuantLib-Risks powered by XAD.

Opengraph URL: https://auto-differentiation.github.io/tutorials/python/

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https://auto-differentiation.github.io/
javascript:void(0)
xad https://github.com/auto-differentiation/xad/
XAD Automatic Differentiation https://auto-differentiation.github.io/
Installation https://auto-differentiation.github.io/installation/cxx/
Tutorials https://auto-differentiation.github.io/tutorials/aad/
Examples https://auto-differentiation.github.io/examples/
QuantLib-Risks https://auto-differentiation.github.io/quantlib-risks/cxx/
Reference https://auto-differentiation.github.io/ref/headers/
FAQ https://auto-differentiation.github.io/faq/
About https://auto-differentiation.github.io/about/
https://auto-differentiation.github.io/
xad https://github.com/auto-differentiation/xad/
XAD Automatic Differentiation https://auto-differentiation.github.io/
C++ https://auto-differentiation.github.io/installation/cxx/
Tested Platfoms https://auto-differentiation.github.io/installation/platforms/
Python https://auto-differentiation.github.io/installation/python/
AD Background https://auto-differentiation.github.io/tutorials/aad/
C++ https://auto-differentiation.github.io/tutorials/cxx/
Handling Discontinuities https://auto-differentiation.github.io/tutorials/smoothed_math/
Python https://auto-differentiation.github.io/tutorials/python/
Examples https://auto-differentiation.github.io/examples/
C++ https://auto-differentiation.github.io/quantlib-risks/cxx/
Python https://auto-differentiation.github.io/quantlib-risks/python/
Practical Guide https://auto-differentiation.github.io/quantlib-risks/practical-guide/
Headers and Namespaces https://auto-differentiation.github.io/ref/headers/
AD Mode Interface https://auto-differentiation.github.io/ref/interface/
Forward Mode Type FReal https://auto-differentiation.github.io/ref/freal/
Adjoint Mode Type AReal https://auto-differentiation.github.io/ref/areal/
Global Functions https://auto-differentiation.github.io/ref/global/
Mathematical Operations https://auto-differentiation.github.io/ref/math/
Complex https://auto-differentiation.github.io/ref/complex/
Smoothed Mathematical Functions https://auto-differentiation.github.io/ref/smooth-math/
Expressions https://auto-differentiation.github.io/ref/expressions/
Tape https://auto-differentiation.github.io/ref/tape/
CheckpointCallback https://auto-differentiation.github.io/ref/chkpt_cb/
Exceptions https://auto-differentiation.github.io/ref/exceptions/
Hessian https://auto-differentiation.github.io/ref/hessian/
Jacobian https://auto-differentiation.github.io/ref/jacobian/
Forward Mode Without Expressions https://auto-differentiation.github.io/ref/freal_direct/
Adjoint Mode Without Expressions https://auto-differentiation.github.io/ref/areal_direct/
Version Information https://auto-differentiation.github.io/ref/version/
Python https://auto-differentiation.github.io/ref/python/
FAQ https://auto-differentiation.github.io/faq/
About https://auto-differentiation.github.io/about/
https://auto-differentiation.github.io/tutorials/python/#__codelineno-0-1
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Exceptionshttps://auto-differentiation.github.io/ref/exceptions/
Previous Handling Discontinuities https://auto-differentiation.github.io/tutorials/smoothed_math/
Next Examples https://auto-differentiation.github.io/examples/

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