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Calculus III: Multivariable Differentiation

Without this course you would maximize a function on a constraint the hard way: walk along g(x,y)=c, plug each pair into f(x,y), and hope you hit the peak. The intro puzzle makes that pain visceral — then shows the contour-tangency “cheat code” and lifts it into 3D so you know what you are aiming at.

Stage 1

Blind probe along the constraint — feel why brute force fails.

Stage 2

Grow level sets until they kiss the curve — ∇f = λ ∇g.

Stage 3

Unveil 3D: the tangent point is the ridge peak on z = f(x,y).

Lessons