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YouTubeQyraxis
Visualizing Gradient Fields: f(x,y) = x² + y² #qyraxis #maths #3dgraphing #3d
This video provides a clear, step-by-step visual exploration of how a mathematical surface translates into a vector gradient field. Starting with a 3D plot of the paraboloid f(x,y) = x² + y² , we break down the calculus behind the gradient vector. By calculating the partial derivatives, we find that grad(f) = ∇f = (2x/2y). Finally, we ...
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