úÎ ¶ GC      !"#$%&'()*+,-./0123456789:;<=>?@ABNone4INBRun the  CG_DESCENT, optimizer and try to minimize the function.GIt uses reverse mode automatic differentiation to compute the gradient.BHow should we optimize.grad_tol, see #.Initial guess.Function to be minimized.C  !"#$%&'()*+,-./0123456789:;<=>?@ABCB *)('&%$#"! 8765;:9>=<A@?43210/.-,+BC      !"#$%&'()*+,-../01234567789:9;<=>?@ABCDEnonli_1DZVNrtXEtZ4pYFJ7gPblK/Numeric.Optimization.Algorithms.HagerZhang05.ADad_EYajrVt3hxk1hOlhALKfCWNumeric.AD.ModeautoScalarModenonli_CNdLHr3kh7cEvGckNJKya6,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