úÎ!g µC      !"#$%&'()*+,-./0123456789:;<=>?@AB(c) Masahiro Sakai 2013GPLmasahiro.sakai@gmail.com experimental non-portableNone>SX ™Bnonlinear-optimization-adRun the  CG_DESCENT, optimizer and try to minimize the function.GIt uses reverse mode automatic differentiation to compute the gradient.Bnonlinear-optimization-adHow should we optimize.nonlinear-optimization-adgrad_tol, see #.nonlinear-optimization-adInitial guess.nonlinear-optimization-adFunction to be minimized.C *)('&%$#"! 43210/.-,+8675;:9>=<A@?BCB *)('&%$#"! 8675;:9>=<A@?43210/.-,+C      !"#$%&'()*+,-../01234567789:9;<=>?@ABCDE6nonlinear-optimization-ad-0.2.4-De8OSnrlPYt5JghN2qPnRK/Numeric.Optimization.Algorithms.HagerZhang05.ADad-4.4-9KLRykmCegIBvhvIFnA9TxNumeric.AD.ModeautoScalarMode4nonlinear-optimization-0.3.12-EbCWu73jPasLJH7nf7KQUW,Numeric.Optimization.Algorithms.HagerZhang05defaultParametersStartFunctionValueNaNFunctionValueNaNDebugTolLineSearchFailsUpdateLineSearchFailsBisectionLineSearchFailsInitial NotDescent MaxSecantIter NegativeSlope MaxTotalIterFunctionChangeToleranceStatisfiedResult gradEvals funcEvals totalItersgradNorm finalValue StatisticstechParametersnanRho funcEpsilon restartFacnsecantnexpand maxItersFac initialStepdebugTol quadraticStep estimateError stopRulesqdecay lineSearchverbose printParams printFinal ParameterstechPsi2techPsi1techPsi0techEtatechRho techGamma techSigma techDeltaTechParameters VeryVerboseVerboseQuiet AutoSwitchApproximateWolfe LineSearchAlternativeStopRuleDefaultStopRule StopRulesRelativeEpsilonAbsoluteEpsilon EstimateErroroptimize