Revision #578 → #1341 · back to history
addedMethod of Lagrange multipliers833c709fdc20
addedLagrangian function (general)a9c87be364bb
addedLagrange multiplier0326f52c025f
addedLagrangian (dot product case)d27613580f6a
addedStationary point characterizationc4ef62796afc
addedSolution is a saddle point of the Lagrangianba4cc2082213
addedLagrange multiplier theorem7c7eac40cdf1
addedGradient as linear combination of constraint gradients2d7efad80fe4
addedLagrange function (single constraint)896562b9cad4
addedNecessary condition for single constraint optimumf5361ed130ea
addedConstrained extrema as critical points of Lagrangianb5500582ad6d
addedMultiple constraints methodcaca9fa23415
addedConstraint qualification (multiple constraints)571c5e057d16
addedStationarity on a manifold (single constraint)e7e0c9029f6b
addedStationarity on a manifold (multiple constraints)8500759c4421
addedLagrange multiplier as rate of changec4841a9365cb
addedEnvelope theorem interpretation5c7d03760d64
addedSufficient conditions via bordered Hessianbe371291f98b
addedExample 1: maximize on unit circleb95c6bb6e7a4
addedExample 2: squared objective on circlea9ace239c005
addedExample 3: single-constraint maximization on circlecbf326dc0c4f
addedExample 4: maximum entropy distribution33a8398f6a88
addedExample 5: numerical optimization via gradient magnitude56aae84cabce
addedEuler-Lagrange equations with Lagrange multipliers66b65363fd06
addedLagrange multipliers as costate variablesaa431c39a720
addedGeneralizations in nonlinear programming6327d244462a
addedEconomics applicationbb9b8ced5c06
addedPower systems application64cfd076ffb1
addedSafe reinforcement learning application6232b9c6cd0b
addedNormalized solutions in PDEsb28eb336c891