https://sourceforge.net/p/pysparse/feature-requests/2009-11-18T21:46:24ZRecent changes to feature-requests2009-11-18T21:46:24Z2009-11-18T21:46:24ZRodrigohttps://sourceforge.net/u/iza-teran/https://sourceforge.net2246eaa1e591d4d799e8db0bcba22309aebc98aa

<div class="markdown_content"><p>Dear Sirs, </p> <p>I have tried to a convert a full matrix 11000x11000 (this can be sparse depending on processing) into the pysparse linked list format. All mehtods I use where very poor in performance. A summary of what I have tried: </p> <p>a) reading from a file spmatrix.ll_mat_from_mtx<br /> this was very very time consuming<br /> b) extracting the indexes and the values of the matrix an then using put(V,index1,index2)<br /> also time consuming<br /> c) with a double loop<br /> for ii in xrange(N):<br /> for jj in xrange(N):<br /> Al[ii,jj]=K[ii,jj]<br /> also very time consuming </p> <p>Is there any possibility to have a method like:<br /> Al = spmatrix.ll_mat(A) where A can be a full matrix <br /> or something like <br /> Al=spmatrix.coo_toll(V,I,J)</p> <p>For such big matrices (remember they are full) this could mean a dramatic improvement in many cases (I use of such matrices for eigenvalue calculations using jdsym).</p> <p>Thank you very much </p> <p>Rodrigo</p></div>

2008-12-11T18:26:14Z2008-12-11T18:26:14ZDaniel Wheelerhttps://sourceforge.net/u/wd15/https://sourceforge.nete2c6671fa7e992870911df1dbe655a91e8a5a3fa

<div class="markdown_content"><p>add "import pysparse; pysparse.test()" mechanism that launches all the tests. Always useful, since most people, especially windows users and source package managers just install stuff on the fly and never actually unpack and run the tests. It makes support easier too.</p></div>

2005-12-19T16:35:02Z2005-12-19T16:35:02ZAnonymoushttps://sourceforge.net/u/userid-None/https://sourceforge.neteec5ce431bd3f78b5ba52ce4fb45bfc2256b7824

<div class="markdown_content"><p>Please add the possibility to sum the matrix!!!!</p></div>