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Constrained optimizationLocal linearization methodLagrangian relaxationFeasible regionMultiple-scale analysisBranch and priceLinear programmingLocal optimumLagrange inversion theoremGlobal optimizationConjugate gradient methodMulti-objective optimizationCutting-plane methodActive-set methodMaximum principleEuler methodLagrange polynomialInfomaxGradient descentMinimax approximation algorithmNonlinear programmingOptimization problemConvex conjugateDeterministic global optimizationEllipsoid methodMaxima and minimaTopology optimizationCentral differencing schemeLagrange's identityRayleigh quotientBiconjugate gradient methodMm algorithmImplicit functionBoundary value problemTruncated newton methodCollocation methodDuhamel's principleEuclidean algorithmPower iterationNumerical linear algebraSemi-implicit euler methodCalculus of variationsMin-max theoremNon-negative least squaresDynamic programmingParametrizationLinear differential equationIterated integralMinimax theoremMatrix differential equationArg maxLagrangian functionOptimal controlConvex analysisParametric equationSecond partial derivative testPontryagin's maximum principleCoarea formulaTrust regionJacobi eigenvalue algorithmOptimizationAnnihilator methodSimons' formulaPerturbation theoryBasin-hoppingDirichlet problemMaximum theoremLax pairProjections onto convex setsCombinatorial optimizationLinear functionPartial differential equationSylvester's formulaLinear complementarity problemQuadratic programmingOperational calculusSemidefinite programmingAlgebraic combinatoricsMetaheuristicSeparation of variablesIterative methodCollocationInitial value problemLeast squaresLow-rank approximationArithmetic derivativeSecant methodLinear interpolationDesign optimizationEigenvalue perturbationCalculus on euclidean spaceNewton's methodBranch and cutAlgebraic functionPartial derivativeFrobenius methodEnvelope theoremSum-of-squares optimizationMaximum satisfiability problemOrdinary differential equation