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scipy.optimize.minimize_scalar

Python. Called in 3 tutorials; each line below leads to its place in the tutorial.

MinigamePythonBeginner

Gravity assist past Jupiter: faster in the Sun's frame, not in Jupiter's

best = minimize_scalar(lambda aim: -gain(aim), bounds=(8, 40), method="bounded", options=dict(xatol=1e-6))

MinigamePythonBeginner

Snowball Earth: why a dimmer sun freezes the planet and today's cannot thaw it

tip = minimize_scalar(lambda p: q_of_edge(p, L), bounds=(0, 90), method="bounded")
peak = minimize_scalar(lambda p: -q_of_edge(p, L), bounds=(tip.x, 90), method="bounded")

ConceptPythonAdvanced

The adjoint method: why 200 derivatives cost two solves, not 201

k0 = minimize_scalar(lambda c: misfit(np.full(n, c)), bounds=(0.5, 5), method="bounded").x