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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/matlab_comparison.html | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
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diff --git a/sourcecodes/bnt-master/docs/matlab_comparison.html b/sourcecodes/bnt-master/docs/matlab_comparison.html new file mode 100644 index 00000000..bdf75aae --- /dev/null +++ b/sourcecodes/bnt-master/docs/matlab_comparison.html @@ -0,0 +1,62 @@ +<html> <head> +<title>Comparison of Matlab, R/S/Splus, Gauss, etc.</title> +</head> + +<body> +<!--<body bgcolor="#FFFFFF"> --> + +<h1>Comparison of Matlab, R/S/Splus, Gauss, etc.</h1> + +<ul> +<li> <a href="http://www.scientificweb.com/ncrunch/">Comparison of +mathematical programs for data analysis</a>, +Stefan Steinhaus, tech report, 2000. +<br> +This is a very detailed comparison of features and speed of several +interactive scientific programming environments, e.g. Matlab, +Mathematica, Splus. + + +<!-- +<p> +<li> <a href="Papers/gauss.econ.review.ps">Econometric +programming environments: Gauss, Ox and S-PLUS</a>, +Francisco Cribari-Neto. +J. of Applied Econometrics, 12(1):77-89, 1997 +<br> +Ox can not be used interactively, and has a C-style syntax (it even +requires users to pre-declare variables!). Its only advantage is speed. +S-Plus has tons of features and good documentation, but is slow. +Gauss is somewhere in between. + + +<p> +<li> <a href="Papers/matlab.econ.review.ps">MATLAB as an econometric +programming environment</a>, +Francisco Cribari-Neto and Mark J. Jensen. +J. of Applied Econometrics, 12(6):735-432, 1997. +<br> +The basic conclusion is that Matlab has excellent graphics and +sparse-matrix facilities, but is slower than Gauss/Ox (especially on +code +with loops), and has few statistical routines built-in (one must buy the +stats toolbox). + + + +<p> +<li> <a href="Papers/R.econ.review.ps">R: Yet another econometric +programming environment</a>, +Francisco Cribari-Neto and S. Zarkos. +J. of Applied Econometrics, 14(3):319-329, 1999. +<br> +The basic conclusion is that R is much faster than Splus on +code with loops, but a little bit slower on vectorized code. (Gauss/ +Ox is much faster than both; in my experience, R and Matlab have about +the same speed.) +However, R has much better memory management than Splus, and R is free. Otherwise, R/S/Splus +are essentially the same. +--> + + +</ul> |