<div class="chlinktop"><span class="chlink1">Goto Chapter: </span><a href="chap0_mj.html">Top</a> <a href="chap1_mj.html">1</a> <a href="chap2_mj.html"><spandivjava.lang.StringIndexOutOfBoundsException: Index 6 out of bounds for length 6
<div class="chlinkprevnexttop"java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
<p id="mathjaxlink" class="pcenter"><a href="chap2.html">[MathJax off]</a></p>
<>aid"name="X823150E97BE77525<>
<div class="ChapSects"><a hrefjava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
<div class="ContSect"><span class="tocline"><span class="nocss"> </span><a href=chap2_mj#8F709227E5EEB5521 <pan="Heading">The for functionality<spanajava.lang.StringIndexOutOfBoundsException: Index 191 out of bounds for length 191
</span>
</div>
<div class="ContSect"><span class="tocline"><span class="nocss"> </span><a href="chap2_mj. strong "homalg> . Most of the motivation for the thestrongpkgGauss>package found.If arein,youmightwant mystrong""GaussForHomalgstrongahrefchapBib_mj#biBGaussForHomalgGr08aa ,which <trong=pkg<strongahref.htmlbiBRingsForHomalgBGKL08a for ,servesthe betweenstrong=pkg><strong and classpkgGauss/> By strong""<strongdelegatetasksstrong">Gauss small extends">omalg/strong>'scapabilities to dense and sparse matrices oftheform< =SimpleMath>ℤ\ ^ rangle>
</span>
</div>
</div>
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
<h4>2.1 <span class="
p< classpkg</strong a lot functionality for echelon of. These be by < class"> andsimilar commands All ofofthese work for the GAP matrix type over fields. However, these algorithms are not capable of computing a reduced row echelon form (RREF) of a matrix,thereisnowayto Gaussupwards".Whileisneccessarythings computationsthis anumberfeatures < =pkg<strong< =">homalg/strong M. < =".#biBhomalg-package]/>/>
<p>Parallel to this development I worked on <strong class="pkg">SCO</strong> <a href</code)./p>
<p>It should
<p>I am proud to tell you that, thanks functioncodeclasscode></code> Whenyou the of a module class=">\A)/pan a given <span class"\\
<p>Please refer to <a href="chapBib_mj.html#biBhomalg-project">[ht22]</a> to find out moretd="tdcenter">A<td
<p>For those</r>
<ulBy the ( how " " is)< class"impleMath>(A) reduced with">(B\)/>. However, the left side of thematrix justservesthesingle purpose of tricking the Gaussian into doing what wewant. Therefore,itwasa step implement < class=func>ReduceMat<span="RefLink>.-/pan
>< a basis (<ode=code</>)</>
<p> the tasks can quitedifficult when,for example, working noncommutativepolynomial ringsinthe < class"> case they can all be done as long as you can compute a Reduced Row Echelon Form. This is clear for BasisOfRowModule,astherowsof RREF already abasis themodule.< =func"EchelonMat/ode< ="chap4_mj.html#X8499C9FD7AD9908F"< class">21span<> ""GAP> internal method ><table class="GAPDocTable">
<tr>
<td class="tdcenter">Id</td>
<td class="tdcenter<>Approachingthis led tothe method< class=func"EchelonMatTransformation( ="hap4_mj.tml#">< class"efLink"422/></>) additionally the matrix="(\/span>, such that < class=">\= T cdot\</panSimilar <ode="code"SemiEchelonMatTransformation> < class\T)/> split the needed create the vectors the, and the that to rows on computations fields itwas step write class"KernelMat/>(ahref=chap4_mjhtmlX78E97A0E7F1ED8AA">span=RefLink4 after REF returns kernel./>
</tr>
<tr>
<td class="tdcenter">0</td>
<td class="tdcenter">B</td>
</tr>
</table><br />
</div>
<p>By computing the RREF (notice how important "Gaussing upwards" is here) <span class="SimpleMath">\(A\)</span> is reduced with <span class="SimpleMath">\(B\)</span>. However, the left
<p>Note: When, much later, it became clear that it was importantjava.lang.StringIndexOutOfBoundsException: Index 65 out of bounds for length 0
<p>The third procedure, <code class="code">SygygiesGeneratorsOfRows
<p>and computing its Row Echelon Form. Then the row relations are generated by the rows to<r>
<p< =""></td
<The over <=">(ℤ/\ p^n\\)"(=(,ldots0h*,\dots) neq0\>gneq)/> thatspan class="SimpleMath">\(g \cdot h = 0\)</pan thevectorspan="SimpleMath>\g\ )/> as rowvectorhastobereducedandcan reducededuced with work allowed implementation ></code(ahref.#"spanclass="4-<spana overclass">( / langle ^rangle)/>.>
<p>As you can see, the development of hermite algorithms was not continued for dense matrices. There are two reasons for that: <strong class="pkg">GAP</strong> already has very good algorithms for ℤ, and for small matrices the disadvantage of computing over ℤ, potentially leading to coefficient explosion, is marginal.</p>
¤ Die Informationen auf dieser Webseite wurden
nach bestem Wissen sorgfältig zusammengestellt. Es wird jedoch weder Vollständigkeit, noch Richtigkeit,
noch Qualität der bereit gestellten Informationen zugesichert.0.8Bemerkung:
¤
Die Informationen auf dieser Webseite wurden
nach bestem Wissen sorgfältig zusammengestellt. Es wird jedoch weder Vollständigkeit, noch Richtigkeit,
noch Qualität der bereit gestellten Informationen zugesichert.
Bemerkung:
Die farbliche Syntaxdarstellung ist noch experimentell.