Critical points (3D)
f(x,y) = x³ − 3x + xy² with two extrema and two saddle points — the Hessian classifies each point automatically.
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Visualise functions of several variables and their extrema
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Lagrange multipliers (3D)
Extrema under a constraint — a walking path on the function graph, gradient vectors of f and φ live, λ readable directly.
Analysis (multivariable)Try it
Local extremum (3D)
Function f(x,y) as a 3D surface — drag the point, see tangent vectors and find extrema.
Analysis (multivariable)Try it
Multiple regression (3D)
Explore point cloud and regression plane interactively — drag points, mix data, reveal residuals.
Analysis (multivariable)Try itNew ideas for your teaching.
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