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Function Evaluation Error Limit Exceeded

ScalingScaling of Intermediate Variables Using the Scale Option in GAMS NLP and DNLP ModelsDNLP Models: What Can Go Wrong? Reformulation from DNLP to NLP Smooth Approximations Are DNLP Models Always Non-smooth? Are NLP Models Always Smooth? APPENDIX A: Algorithmic InformationOverview of GAMS/CONOPT The CONOPT Algorithm Iteration 0: The Initial Point Iteration 1: PreprocessingPreprocessing: Pre-triangular Variables and Constraints Preprocessing: Post-triangular Variables and Constraints Preprocessing: The Optional Crash Procedure Preprocessing: Definitional Equations Iteration 2: Scaling Finding a Feasible Solution: Phase 0 Finding a Feasible Solution: Phase 1 and 2 Linear and Nonlinear Mode: Phase 1 to 4 Linear Mode: The SLP Procedure Linear Mode: The Steepest Edge Procedure Nonlinear Mode: The SQP Procedure How to Select Non-default Options Miscellaneous TopicsTriangular Models Constrained Nonlinear System or Square Systems of Equations Loss of Feasibility Stalling Overflow and NaN (Not A Number) External Equations and Extrinsic Functions APPENDIX B - OptionsAlgorithmic options Debugging options Output options Interface options APPENDIX C: References AuthorArne Drud, ARKI Consulting and Development A/S, Bagsvaerd, Denmark Introduction Nonlinear models created with GAMS must be solved with a nonlinear programming (NLP) algorithm. Currently, there is a large number of different solvers available and the number is growing. The most important distinction between the solvers is whether they attempt to find a local or a global solution. Solvers that attempt to find a global solution (so called Global Solvers) can usually not solve very large models. As a contrast most Local Solvers can work with much larger models, and models with over 10,000 variables and constraints are not unusual. If the model has the right mathematical properties, e.g. is convex, then Local Solvers will find a global optimum. Unfortunately, the mathematical machinery for testing whether a general NLP model is convex or not has not yet been developed (and is expected to be in the class or hard problems). It is almost impossible to predict how difficult it is to solve a particular model with a particular algorithm, especially for NLP models, so GAMS cannot select the best algorithm for you automatically. When GAMS is installed you must select one of the nonlinear programming algorithms as the default solver for NLP mode

Support Support Newsreader MathWorks Search MathWorks.com MathWorks Newsreader Support MATLAB Newsgroup MATLAB Central Community Home MATLAB Answers File Exchange Cody Blogs Newsreader Link Exchange ThingSpeak Anniversary Home Post A New Message Advanced Search Help MATLAB Central Community Home MATLAB Answers File Exchange Cody Blogs Newsreader Link Exchange ThingSpeak Anniversary Home Post A New Message Advanced Search Help Trial software error message (using optimset) how to solve? Subject: error message (using optimset) how to solve? From: Armindo Armindo (view profile) 70 posts Date: 10 Apr, 2011 16:19:05 Message: 1 of 2 Reply to this message Add author to My Watch http://www.gams.com/help/topic/gams.doc/solvers/conopt/index.html List View original format Flag as spam I am geting this error message: Solver stopped prematurely. lsqcurvefit stopped because it exceeded the function evaluation limit, options.MaxFunEvals = 500 (the default value). I made this. But I am newbie in Matlab and I dont know if this is ok. options = optimset('TolFun',1.0000e-1000); options = optimset('TolX',1.0000e-1000); options = optimset('MaxFunEvals',100000); options = optimset('MaxIter',100000); x=lsqcurvefit(@myfun,x0,t,F_measured,[],[],options); I try estimate the parameters https://www.mathworks.com/matlabcentral/newsreader/view_thread/306039 with this definitions but the result is the same. Help Please... Subject: error message (using optimset) how to solve? From: Steven_Lord Date: 12 Apr, 2011 14:48:10 Message: 2 of 2 Reply to this message Add author to My Watch List View original format Flag as spam "Armindo " wrote in message news:[email protected] > I am geting this error message: > > Solver stopped prematurely. > > lsqcurvefit stopped because it exceeded the function evaluation limit, > options.MaxFunEvals = 500 (the default value). > > I made this. But I am newbie in Matlab and I dont know if this is ok. > options = optimset('TolFun',1.0000e-1000); This is equivalent to setting the tolerance to 0. I recommend that you NOT do that. Make it something small but positive. Regardless, it doesn't matter because ... > options = optimset('TolX',1.0000e-1000); on this line you overwrite the options structure created by the previous line with one that just has a value for the TolX option set. [The same caveat holds here too.] Call OPTIMSET like this to update the options structure: options = optimset(options, 'TolX', 1e-6); > options = optimset('MaxFunEvals',100000); Ditto on the overwrite. > options = optimset('MaxIter',100000); Ditto. > x=lsqcurv

here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About http://stackoverflow.com/questions/22501144/in-directory-entry-maxpwdage-throws-the-time-limit-for-this-request-was-exceed Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up In Directory entry “maxPwdAge” throws the function evaluation time limit for this request was exceeded up vote 1 down vote favorite I am writing a function to get the user expiration date in C# using ldap. I am currently refering the following link information to get the maxPwdAge from the Properties. Active Directory user password expiration date .NET/OU Group Policy Problem with my code is that var maxPwdAge = results[0].Properties["maxPwdAge"][0]; // Getting Error here function evaluation error maxDays = (long)maxPwdAge / -864000000000; in this line, I am getting Error as follows The time limit for this request was exceeded or "Function evaluation disabled because a previous function evaluation timed out. You must continue execution to reenable function evaluation." I tried IADsLargeInteger also to get the value, but I am getting the same error for the both cases object obj = entry.Properties["maxPwdAge"];// Getting Error here ActiveDs.IADsLargeInteger largeIntADSI; largeIntADSI = (ActiveDs.IADsLargeInteger)obj; But after nearly 30 secs, I am getting 240 days, the expected result from my code.It is very problematic issue. c# c#-4.0 active-directory directoryservices directoryentry share|improve this question asked Mar 19 '14 at 9:21 rkP 63 1 Application is not responding or just hung for 30 secs in the var maxPwdAge = results[0].Properties["maxPwdAge"][0]; I couldn't find the root case for this problem. –rkP Mar 19 '14 at 9:24 Solved issue as follows ActiveDs.IADsUser native = (ActiveDs.IADsUser)entry.NativeObject; DateTime passwordExpirationDate = native.PasswordExpirationDate; TimeSpan dayLeft = passwordExpirationDate.Date.Subtract(DateTime.Today); daysLeft = dayLeft.Days; –rkP Mar 19 '14 at 9:57 add a comment| active oldest votes Know someone who can answer? Share a link to this question via email, Google+, Twitter, or Facebook. Your Answer draft saved dr

 
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