Hi all,<br><br>I have worked on C++ for a long time in the past, but
then I stopped using C++ and moved to other languages like Java sheerly
because I was facing portability and repeatability issues with my
programs. However, with the advent of Boost, I am very excited to go
back to C++ again. <br>
Boost looks like a pretty big package to easily go through and seems
daunting at first to get used to using it. I have been trying to read
the documentation and packages available, but it is proving to be a bit
difficult to get started quickly.<br>
<br>I work mainly in Machine Learning &amp; Data Mining and this job
mainly requires me to write very efficient and fast code for numerical
processing programs as well as do a lot of data, especially text
preprocessing. It would be great if you cant point to me some good
packages in Boost for the following tasks. Packages that are very good
and don&#39;t have a very steep learning curve.<br>
<br><ul><li>Text Parsing. package that lets me do something like what Sed and Awk can do.<br></li><li>Linear Algebra - Eigen analysis, matrix operations, Matrix decomposition etc.<br></li><li>Optimization routines - Linear programming , Quadratic Programming etc.</li>

<li>HTML, XML parsing etc.</li></ul><br>Please do let me know if I am posting in the wrong forum.<br><br>Thanks &amp; Regards,<br><font color="#888888">Ajay Gopalakrishnan.</font>