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Title: Python QuantLib Integration: QuantLib-Risks - XAD Automatic Differentiation

Open Graph Title: Python QuantLib Integration: QuantLib-Risks - XAD Automatic Differentiation

X Title: Python QuantLib Integration: QuantLib-Risks - XAD Automatic Differentiation

Description: Boost QuantLib's risk evaluations in Python with XAD's automatic differentiation for unparalleled efficiency and accuracy.

Open Graph Description: Boost QuantLib's risk evaluations in Python with XAD's automatic differentiation for unparalleled efficiency and accuracy.

X Description: Boost QuantLib's risk evaluations in Python with XAD's automatic differentiation for unparalleled efficiency and accuracy.

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

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Skip to content https://auto-differentiation.github.io/quantlib-risks/python/#python-quantlib-integration-quantlib-risks
https://auto-differentiation.github.io/
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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/
Installation https://auto-differentiation.github.io/quantlib-risks/python/#installation
Usage Illustration https://auto-differentiation.github.io/quantlib-risks/python/#usage-illustration
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/
Installation https://auto-differentiation.github.io/quantlib-risks/python/#installation
Usage Illustration https://auto-differentiation.github.io/quantlib-risks/python/#usage-illustration
https://auto-differentiation.github.io/quantlib-risks/python/#python-quantlib-integration-quantlib-risks
QuantLib-Riskshttps://pypi.org/project/QuantLib-Risks
XAD's Python bindingshttps://auto-differentiation.github.io/installation/python/
QuantLib Python packagehttps://pypi.org/project/QuantLib
xadhttps://auto-differentiation.github.io/tutorials/python/
https://auto-differentiation.github.io/quantlib-risks/python/#installation
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-0-1
https://auto-differentiation.github.io/quantlib-risks/python/#usage-illustration
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-1
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-2
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https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-10
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-11
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-12
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-13
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-14
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-15
https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-16
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https://auto-differentiation.github.io/quantlib-risks/python/#__codelineno-1-19
Previous C++ https://auto-differentiation.github.io/quantlib-risks/cxx/
Next Practical Guide https://auto-differentiation.github.io/quantlib-risks/practical-guide/

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