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advanced/mathematical_optimization/index.rst
@@ -166,7 +166,7 @@ Getting started: 1D optimization
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Let's get started by finding the minimum of the scalar function
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-:math:`f(x)=\exp[(x-0.7)^2]`. :func:`scipy.optimize.minimize_scalar` uses
+:math:`f(x)=\exp[(x-0.5)^2]`. :func:`scipy.optimize.minimize_scalar` uses
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Brent's method to find the minimum of a function:
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::
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