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Andrew

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Top Tags Applied by Andrew	1 - 2 of 2
client server tcpip pct mdcs waitbar serialize, socket

Files Tagged by Andrew					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
03 Sep 2009		TCP/IP distributed waitbar classWaitbardist allows you to update a MATLAB waitbar through the network via TCP/IP sockets. Author: Christophe Pouillot	client server tcpip p..., socket, client server tcpip p..., waitbar	3	0

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Type	Description
File	MATLAB xUnit Test Framework
File	fminsearchbnd, fminsearchcon
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File	INRANGE
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File	LOOK4
File	mypath.m
File	num2cellstr
File	parseargs: Simplifies input processing for functions with multiple options
File	pushd
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File	table2word
File	Phased Array Design Toolbox v2.4

Files Matching Andrew's Watch List					View all 1 - 5 of 17
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
06 Mar 2013		CATSTRUCT Concatenate/merge structures (v3.0, mar 2013). Author: Jos (10584)	concatenate, cell arrays, merge, combine, structs, structures	71	22	4.64706 4.6 \| 17 ratings
06 Feb 2012		fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch Author: John D'Errico	bound, constraint, fminsearch, bound constrained, optimization, transformation	269	72	4.93333 4.9 \| 47 ratings
02 Jul 2011		Phased Array Design Toolbox v2.4 A toolbox allowing rapid definition and evaluation of 2D and 3D phased array antennas. Author: Neill Tucker	2d, phased array, simulation, 3d, antennas	113	37	5.0 5.0 \| 9 ratings
19 Nov 2010		MATLAB xUnit Test Framework MATLAB xUnit is a unit test framework for MATLAB code. Author: Steve Eddins	mtest, unit test, xunit, test, this is a great work ..., testing	139	127	5.0 5.0 \| 40 ratings
02 Nov 2010		LOOK4 LOOKFOR substitute that uses a database for quick searching of MATLAB® files. Author: Jiro Doke	path, directories, files, lookfor, help, search	6	9	4.66667 4.7 \| 6 ratings

Comments and Ratings Matching Andrew's Watch List			1-5 of 358
Date	File	Comment by	Comments	Rating
17 May 2013	fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch	Alvaro Campos Duque	Yeah, it works =) Thank u so much!!	Comment only
16 May 2013	fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch	John D'Errico	Fminsearchcon uses your objective function, which for 5 parameter models, must take vector input. Thus it will pass in a vector x to the objective function that has 5 elements here. The constraint function must then also accept a vector of length 5. So your call to fminsearchcon might look like this: [x,fval]=fminsearchcon(@fit,x0,lb,ub,[],[],@(x) 2.3*(x(4)^2+x(3))^0.5-x(5)-x(2));	Comment only
16 May 2013	fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch	Alvaro Campos Duque	Congrats again for the useful function John. I just have a qestion: i'm trying to use fminsearchcon in a 5 parameter function i've created: function error=fit(parameters) x1=parameters(1); x2=parameters(2); x3=parameters(3); x4=parameters(4); x5=parameters(5); (...) Here there is a long script but, at the end, the important thing are the input and outputs (...) What I wonder is to find the parameters that optimize the error function. These parameters are interelated by the non-linear constrain: -2.3(x4^2+x3)^0.5+x5+x2>0 The problem is that I don't know how to implement this constrain, the examples I have seen are just with one parameter. I have tried this: x0=[0.5,0.05,0.05,1,0.5]; lb=[0,0,0,0,0]; ub=[2,1,1,10,5]; [x,fval]=fminsearchcon(@fit,x0,lb,ub,[],[],@(x2,x3,x4,x5) 2.3(x4^2+x3)^0.5-x5-x2) But, of course, it doesn't recognise what is x2, x3, x4, or x5 because it is defined nowhere. Any clue?? Thanks in advance! :)	5
16 May 2013	fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch	Alvaro Campos Duque	Congratulations John, thank you so much for such a good job!	5
27 Mar 2013	fminsearchbnd, fminsearchcon Bound constrained optimization using fminsearch	Jeff Warner	Congratulations on a great job creating this function. This is something I have been searching for. I have been using the fminsearch in the past but it is not a very robust fitting routine because you cannot constrain the fitting parameters so I would not always obtain a good fit. Now that I am using your fminsearchbnd, every time I run the program on the same file the fitting result is close to the previous fits.	5