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Hossein SOLEIMANI

E-mail: hossn.soleimani@gmail.com

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Comments and Ratings by Hossein		View all 1 - 4 of 4
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03 Jun 2009	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations Author: Miroslav Balda	Hi how can I give an interval for the results, i don't need negative values for answers or I need some answers higher than some values, you also helped me before Mira thanks.
18 May 2009	LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Author: Miroslav Balda
18 May 2009	LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Author: Miroslav Balda
18 May 2009	LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Author: Miroslav Balda	Hi I want to solve a set of nonlinear equations that has a degree of freedom of 4 , and I want to use the experimental data in order to find the best results. 1. I have read the explanation about the FUN and I dont know how to put the funtions and also where I should include my experimental data? please help me, regards

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fletcher, integration, levenberg, trapezoidal

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11 Feb 2009		LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Author: Miroslav Balda	optimization, levenberg, fletcher, marquardt, overdetermined, nonlinear least squar...	117	11	4.25 4.2 \| 9 ratings
13 Oct 2006		Fast Trapezoidal Integration Similar to TRAPZ but (up to) 16x-times faster. Equally spaced data NOT required. Author: Umberto Picchini	integration, trapezoidal, mex, fast, quick	6	3	3.75 3.8 \| 4 ratings

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Files Matching Hossein's Watch List					View all 1 - 2 of 2
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20 Dec 2011		LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations Author: Miroslav Balda	optimization, fletcher, marquardt, levenberg, least squares, fig and separator	124	21	4.4 4.4 \| 17 ratings
11 Feb 2009		LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Author: Miroslav Balda	optimization, levenberg, fletcher, marquardt, overdetermined, nonlinear least squar...	117	11	4.25 4.2 \| 9 ratings

Comments and Ratings Matching Hossein's Watch List			1-5 of 41
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02 Jan 2012	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations	Sadik	I thank you so much for providing this code. Implementation has its own challenges but your code worked like a charm to show how beautifully theory and practice meet. With good initial estimates, the algorithm converged in only a few iterations. FYI: I used it for T1 estimation in MR where the equations in our case were much more complicated than single exponential recovery equations. Thanks.	5
17 Dec 2011	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations	Shayan	Man thank you so much, it was amazing!	5
14 Dec 2011	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations	David Zhang	@Miroslav: I was using analytical Jacobian. I also will not obey your evaluation that a failed lsqcurvefit does not deserve a 1 star. The NIST solutions are tested using different methods (hence the standard deviation is also available), so failing even one of them means there are codes out there that performs better, even using the poor starting condition. Furthermore, 3 of the 5 failure cases are observed data. They are not some cooked up example designed to cause the optimization to fail. Therefore, if used in real world examples, there is a possibility that it will not work. I am simply letting everybody know a caveat cantor that the program solution should be treated with a grain of salt, even if the sum of squares dropped by 8 orders. Although as the website says, passing all tests is not a pre-requisite to be a good optimization software, but don't you think not passing the tests from an agency that establishes industry standards would not be considered as "industry standard"? I admit giving it 1 star is too aggressive. I do this to get your attention to respond. Indeed it worked. Unfortunately I can't go back and change it. Because this program works for all easy to intermediate difficulty problems, it deserves a 4 star.	4
14 Dec 2011	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations	Miroslav Balda	@ David: I thank you for thorough testing of my function LMFnlsq. You have found that 5 functions of the highest difficulty out of total 27 failed. It is true only partially. They failed only for the most bad initial estimates of the solution. The good solution has been obtained with the more close estimate for all above examples but Bennett5. In this case only one digit of sum of squares was valid, however, when sum of squares dropped by 8 orders! All those results have been obtained with embedded function for finite difference Jacobian matrix estimates, what strongly diminishes precission of results. Only analytical Jacobian matrix ensures top result. I am affraid that you also used finite difference approximates. The NIST collection of testing problems is only a recommendation for software authors. In contrary to your opinion, I am satisfied by the results I have obtained. Especially, after testing a less difficult problem Hahn1, which converged for both estimates of the solution, while the function lsqcurvefit from the Optimization Toolbox (OT) did not find any solution. Would you evaluate it also by one star? Not me, because OT is much better. However, my function is smaler and takes fewer iterations to solve the problem. This is the reason, why I regard your evaluation as a bad joke. One star means: "withdraw your function from FEX!". I will not obey your evaluation, because there are hundreds and may be thousands of people who downloaded and successfully applied my function for solving their problems. Some of them gave the function the top evaluation, even that I never did not declare it as an "industry standard".	Comment only
02 Dec 2011	LMFnlsq - Solution of nonlinear least squares Efficient and stable Levenberg-Marquard-Fletcher method for solving of nonlinear equations	David Zhang	By the way, the failures occurs in MGH17 BoxBOD MGH10 Eckerle4 Bennett5	Comment only

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