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Update sensitivity_math.md #928

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Nov 2, 2023
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Update sensitivity_math.md #928

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Update sensitivity_math.md
Vaibhavdixit02 Nov 2, 2023
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Update docs/src/sensitivity_math.md
ChrisRackauckas Nov 2, 2023
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2 changes: 1 addition & 1 deletion docs/src/sensitivity_math.md
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Expand Up @@ -73,7 +73,7 @@ by the user, the Jacobian is never formed. For more details, consult the

This adjoint requires the definition of some scalar functional ``g(u,p)``
where ``u(t,p)`` is the (numerical) solution to the differential equation
``d/dt u(t,p)=f(t,u,p)`` with ``t\in [0,T]`` and ``u(t_0,p)=u_0``.
``\frac{du(t,p)}{dt=f(t,u,p)}`` with ``t\in [0,T]`` and ``u(t_0,p)=u_0``.
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Adjoint sensitivity analysis finds the gradient of

```math
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