yang zhengfa

 

Top Tags Applied by yang	1 - 4 of 4
application, earth science, example, matrices

Files Tagged by yang					View all 1 - 3 of 3
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
01 Nov 2010		GPIB example for MATLAB MATLAB GPIB - Example showing you how to use MATLAB with GPIB to configure and control instruments. Author: Steven Kolak	gpib, example, application, instruments, hpib	50	0	4.25 4.2 | 4 ratings
01 Mar 2010		SeisLab 3.01 Release 10.0301 of a collection of functions for analysis/display of seismic and well-log data. Author: Eike Rietsch	exploration, earth science, seislab, seismic, functions, well logs	111	9	4.58333 4.6 | 12 ratings
08 Dec 2008		REPLICATE Create a larger array by expanding each element of an array into a subarray. Author: Mark Ruzon	matrices, replicate, repmat, tile	6	5	4.0 4.0 | 1 rating

Files Matching yang's Watch List					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
19 Apr 2011		Cylinder scattering Solutions to some canonical electromagnetic scattering problems. Author: Guangran Kevin Zhu	scattering, electromagnetics, simulation	30	2	4.0 4.0 | 1 rating
02 May 2006		nnls block principal pivoting algorithm Author: Uriel Roque	nnls, nvlsq, optimization, block pivoting	2	2	4.5 4.5 | 2 ratings

Comments and Ratings Matching yang's Watch List			1-4 of 4
Date	File	Comment by	Comments	Rating
23 Feb 2011	Cylinder scattering Solutions to some canonical electromagnetic scattering problems.	Guangran Kevin Zhu	I am afraid that this Matlab code is for demonstrating the solution to canonical scattering problems. You would need some full-wave EM solver and human head phantom to study the microwave radiation and tissue absorption problem.	Comment only
16 Feb 2011	Cylinder scattering Solutions to some canonical electromagnetic scattering problems.	SRINIVASA RAO NOOKALA	excellent; please provide me the said code in the above tag; srinivasa.nookala@gmail.com	4
09 Apr 2007	nnls block principal pivoting algorithm	Greg Reynolds	It works nicely for my matrices of about 1024x20 and is significantly faster than 'lsqnonneg'. For 100 (random) trials, A is 1024x20, b is 1024x1: 'blocknnls' = 0.686167 seconds 'lsqnonneg' = 5.869711 seconds	5
13 Aug 2005	nnls block principal pivoting algorithm	John D'Errico	Faster than lsqonneg for some sizes of problems. Interestingly, my tests show it is slower than lsqnonneg when the number of unknowns to estimate is small, say 2 or 3 and there are few rows in A. Thus, for size(A) == [5,2], lsqnonneg is 3x faster. For size(A) == [100,10], blocknnls is 3x faster.	4