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add links and references to pyprog:scipy
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lectures/intro_supply_demand.md

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@@ -797,6 +797,12 @@ pencil and paper.
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Maximize it using `scipy.optimize.minimize_scalar` instead.
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```{seealso}
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Our [SciPy](https://python-programming.quantecon.org/scipy.html) lecture has
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a section on [Optimization](https://python-programming.quantecon.org/scipy.html#optimization)
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is a useful resource to find out more.
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```
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```
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@@ -837,6 +843,12 @@ $$
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You can use `scipy.optimize.newton` to compute the root.
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```{seealso}
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Our [SciPy](https://python-programming.quantecon.org/scipy.html) lecture has
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a section on [Roots and Fixed Points](https://python-programming.quantecon.org/scipy.html#roots-and-fixed-points)
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is a useful resource to find out more.
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```
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Initialize `newton` with a starting guess somewhere close to 1.0.
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(Similar initial conditions will give the same result.)

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