OPTIMIZATION

Lagrange multiplier condition

finds the stationary point of the objective function on the equality constrained surface.

∇f(x)+λ∇g(x)=0,g(x)=0\nabla f(x)+\lambda\nabla g(x)=0,\quad g(x)=0

symbols, variables and units

f: target; g: constraint; λ: multiplier, whose unit is consistent with f/g.

applicable conditions and boundaries

is differentiable and constrained to be regular; it is a necessary condition and cannot determine the minimum value alone.

formula source code

The following is a copyable LaTeX expression.

\nabla f(x)+\lambda\nabla g(x)=0,\quad g(x)=0

Reference and Extended Learning

Stanford · Convex Optimization, Boyd & Vandenberghe ↗

is organized according to model definition and assumptions. Please check actual conditions and original literature before engineering, research and clinical use.

Lagrange multiplierconstrained optimization

Same subject formula

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