Rank: 1500 based on 56 downloads (last 30 days) and 2 files submitted

Sandeep Sasidharan

E-mail: sandeep40@gmail.com
Company/University: IIT Kanpur

Personal Profile:: Masters Student in Image processing
Professional Interests:: Digital Image Processing, Computer Vision, Robotics,LiDAR

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Files Posted by Sandeep					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
17 Apr 2012		LAS file Header Reader READS THE PUBLIC HEADER BLOCK AND VARIABLE RECORD LENGTHS OF LAS FILES Author: Sandeep Sasidharan	public header block, variable record lengt..., las file, lidar, lase scanner, geoinformatics	13	0
02 Apr 2012		Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix Author: Sandeep Sasidharan	rotation matrix, euler angles, rotation along x y z ..., direction cosines, mathematics, statistics	43	1	1.0 1.0 \| 2 ratings

Comments and Ratings on Sandeep's Files			View all 1 - 2 of 2
Updated	File	Comment by	Comments	Rating
25 Oct 2012	Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix Author: Sandeep Sasidharan	Wiora, Georg	This is a nice short code, but it covers only a very special case and does not tell which one exactly. I recommend spincalc() from Jonathan Fuller. It is much more powerfull! http://www.mathworks.com/matlabcentral/fileexchange/20696-function-to-convert-between-dcm-euler-angles-quaternions-and-euler-vectors
25 Oct 2012	Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix Author: Sandeep Sasidharan	Wiora, Georg

Top Tags Applied by Sandeep	1 - 5 of 19
3d, als, asprs, direction cosines, euler angles

Files Tagged by Sandeep					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
17 Apr 2012		LAS file Header Reader READS THE PUBLIC HEADER BLOCK AND VARIABLE RECORD LENGTHS OF LAS FILES Author: Sandeep Sasidharan	public header block, variable record lengt..., las file, lidar, lase scanner, geoinformatics	13	0
02 Apr 2012		Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix Author: Sandeep Sasidharan	rotation matrix, euler angles, rotation along x y z ..., direction cosines, mathematics, statistics	43	1	1.0 1.0 \| 2 ratings

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Type	Description
File	LSMR: An iterative algorithm for least-squares problems
File	Calcuate Euler Angles from Rotation Matrix
File	LAS file Header Reader

Files Matching Sandeep's Watch List					View all 1 - 3 of 3
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
17 Apr 2012		LAS file Header Reader READS THE PUBLIC HEADER BLOCK AND VARIABLE RECORD LENGTHS OF LAS FILES Author: Sandeep Sasidharan	public header block, variable record lengt..., las file, lidar, lase scanner, geoinformatics	13	0
02 Apr 2012		Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix Author: Sandeep Sasidharan	rotation matrix, euler angles, rotation along x y z ..., direction cosines, mathematics, statistics	43	1	1.0 1.0 \| 2 ratings
10 Mar 2011		LSMR: An iterative algorithm for least-squares problems Official successor to the LSQR algorithm, developed by David Fong and Michael Saunders. Author: David	matrix, sparse matrix, linear equation, least square, lsqr, lsmr	36	10	5.0 5.0 \| 3 ratings

Comments and Ratings Matching Sandeep's Watch List			1-5 of 12
Date	File	Comment by	Comments	Rating
25 Oct 2012	Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix	Georg Wiora	This is a nice short code, but it covers only a very special case and does not tell which one exactly. I recommend spincalc() from Jonathan Fuller. It is much more powerfull! http://www.mathworks.com/matlabcentral/fileexchange/20696-function-to-convert-between-dcm-euler-angles-quaternions-and-euler-vectors	1
25 Oct 2012	Calcuate Euler Angles from Rotation Matrix This function return the rotation along x,y and z direction from a 3x3 Rotation Matrix	Georg Wiora		2
05 Jan 2012	LSMR: An iterative algorithm for least-squares problems Official successor to the LSQR algorithm, developed by David Fong and Michael Saunders.	Zahra Ghanian	I'm wondering how you tested the LSMR algorithm with the sparse Matrices? Please let me know. I checked, by MATLAB, the result of one matrix (produced by mesh2d2.m) from this site: http://www.cise.ufl.edu/research/sparse and the result was not good at all.	Comment only
28 Sep 2011	LSMR: An iterative algorithm for least-squares problems Official successor to the LSQR algorithm, developed by David Fong and Michael Saunders.	Michael Völker	Fantastic! I would only like to pass an initial start guess to the function, so for me I changed the interface to lsmr(..., x0) and in the code I put a if ~isempty(x0) x = x0; clear x0 else x = zeros(n,1); end Very useful code, thank you!	5
13 Aug 2010	LSMR: An iterative algorithm for least-squares problems Official successor to the LSQR algorithm, developed by David Fong and Michael Saunders.	Rational Adjustment	Hi David, I look forward to reading your upcoming paper on this new method. I am glad you have both .m and f90 versions, though I haven't tried the f90 yet (I prefer the simplicity of f77). I was very glad to see that you included the matrix condition number among other things as output (the matlab version of lsqr doesn't do this). Any chance you can get LSMR to estimate the rank of A? What about calculating the Resolution and a posteriori covariance matrices, which are all super important to people who use these large matrix solvers for practical work. Years ago some teams came up with ways to use LSQR to estimate the Resolution and Covariance matrices (such as Nolet et al Geophysical Journal International, 138, 36-44, 1999), but I am not sure if anything better has come out since. If you had a version that calculated/estimated rank and Resolution and Covariance matrices you would be a hero. I ran this on a ~400,000 x 90,000 matrix with 21,000,000 non-zero elements: LSQR = 100 seconds with 596 iterations LSMR = 68 seconds with 412 iterations same tolerance criteria and damp = 0. no reorthogonalization applied cond(A) = 10 The LSMR solution seems a bit under-developed around the edges (smallest singular values) as compared to LSQR. Perhaps a few more iterations of LSMR could be carried out to get an LSQR equivalent result (the LSMR results looks like a LSQR result with fewer iterations).	Comment only