úÎ!: ˆC      !"#$%&'()*+,-./0123456789:;<=>?@ABNone>SX lBnonlinear-optimization-adRun the  CG_DESCENT, optimizer and try to minimize the function.GIt uses reverse mode automatic differentiation to compute the gradient.Bnonlinear-optimization-adHow should we optimize.nonlinear-optimization-adgrad_tol, see #.nonlinear-optimization-adInitial guess.nonlinear-optimization-adFunction to be minimized.C *)('&%$#"! 43210/.-,+8675;:9>=<A@?BCB *)('&%$#"! 8675;:9>=<A@?43210/.-,+C      !"#$%&'()*+,-../01234567789:9;<=>?@ABCDE6nonlinear-optimization-ad-0.2.3-GtulnVpajsYCpyA2kUw8Hj/Numeric.Optimization.Algorithms.HagerZhang05.ADad-4.4-Lt9KSxkdu3J46D3KlZZPXsNumeric.AD.ModeautoScalarMode4nonlinear-optimization-0.3.11-1umdXMf9TVsF0Xh6vZJQms,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