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<p>Sparse BLAS3, using some dense BLAS3 operations.  
<a href="#details">More...</a></p>
<div class="textblock"><code>#include &quot;<a class="el" href="slu__cdefs_8h_source.html">slu_cdefs.h</a>&quot;</code><br />
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Include dependency graph for csp_blas3.c:</div>
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Functions</h2></td></tr>
<tr class="memitem:a860a6bac0e64669a5ecedff8def0c6e3"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="csp__blas3_8c.html#a860a6bac0e64669a5ecedff8def0c6e3">sp_cgemm</a> (char *transa, char *transb, int m, int n, int k, <a class="el" href="structsinglecomplex.html">singlecomplex</a> alpha, <a class="el" href="structSuperMatrix.html">SuperMatrix</a> *<a class="el" href="zsymv_8c.html#af5d6242ff783dd9efca51eeec1c234f7">A</a>, <a class="el" href="structsinglecomplex.html">singlecomplex</a> *b, int ldb, <a class="el" href="structsinglecomplex.html">singlecomplex</a> beta, <a class="el" href="structsinglecomplex.html">singlecomplex</a> *c, int ldc)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p >Copyright (c) 2003, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from U.S. Dept. of Energy)</p>
<p >All rights reserved.</p>
<p >The source code is distributed under BSD license, see the file License.txt at the top-level directory.</p>
<pre>
-- SuperLU routine (version 2.0) --
Univ. of California Berkeley, Xerox Palo Alto Research Center,
and Lawrence Berkeley National Lab.
November 15, 1997
</pre> </div><h2 class="groupheader">Function Documentation</h2>
<a id="a860a6bac0e64669a5ecedff8def0c6e3" name="a860a6bac0e64669a5ecedff8def0c6e3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a860a6bac0e64669a5ecedff8def0c6e3">&#9670;&nbsp;</a></span>sp_cgemm()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">int sp_cgemm </td>
          <td>(</td>
          <td class="paramtype">char *&#160;</td>
          <td class="paramname"><em>transa</em>, </td>
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          <td class="paramtype">char *&#160;</td>
          <td class="paramname"><em>transb</em>, </td>
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          <td class="paramname"><em>m</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="structsinglecomplex.html">singlecomplex</a>&#160;</td>
          <td class="paramname"><em>alpha</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
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          <td class="paramname"><em>A</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramname"><em>b</em>, </td>
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          <td class="paramname"><em>ldb</em>, </td>
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          <td class="paramtype"><a class="el" href="structsinglecomplex.html">singlecomplex</a>&#160;</td>
          <td class="paramname"><em>beta</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramname"><em>c</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>ldc</em>&#160;</td>
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<pre>
Purpose   
  =======   

  sp_c performs one of the matrix-matrix operations   

     C := alpha*op( A )*op( B ) + beta*C,   

  where  op( X ) is one of 

     op( X ) = X   or   op( X ) = X'   or   op( X ) = conjg( X' ),

  alpha and beta are scalars, and A, B and C are matrices, with op( A ) 
  an m by k matrix,  op( B )  a  k by n matrix and  C an m by n matrix. 


  Parameters   
  ==========   

  TRANSA - (input) char*
           On entry, TRANSA specifies the form of op( A ) to be used in 
           the matrix multiplication as follows:   
              TRANSA = 'N' or 'n',  op( A ) = A.   
              TRANSA = 'T' or 't',  op( A ) = A'.   
              TRANSA = 'C' or 'c',  op( A ) = conjg( A' ).   
           Unchanged on exit.   

  TRANSB - (input) char*
           On entry, TRANSB specifies the form of op( B ) to be used in 
           the matrix multiplication as follows:   
              TRANSB = 'N' or 'n',  op( B ) = B.   
              TRANSB = 'T' or 't',  op( B ) = B'.   
              TRANSB = 'C' or 'c',  op( B ) = conjg( B' ).   
           Unchanged on exit.   

  M      - (input) int   
           On entry,  M  specifies  the number of rows of the matrix 
          op( A ) and of the matrix C.  M must be at least zero. 
          Unchanged on exit.   

  N      - (input) int
           On entry,  N specifies the number of columns of the matrix 
          op( B ) and the number of columns of the matrix C. N must be 
          at least zero.
          Unchanged on exit.   

  K      - (input) int
           On entry, K specifies the number of columns of the matrix 
          op( A ) and the number of rows of the matrix op( B ). K must 
          be at least  zero.   
          Unchanged on exit.

  ALPHA  - (input) singlecomplex
           On entry, ALPHA specifies the scalar alpha.   

  A      - (input) SuperMatrix*
           Matrix A with a sparse format, of dimension (A-&gt;nrow, A-&gt;ncol).
           Currently, the type of A can be:
               Stype = NC or NCP; Dtype = SLU_C; Mtype = GE. 
           In the future, more general A can be handled.

  B      - COMPLEX PRECISION array of DIMENSION ( LDB, kb ), where kb is 
           n when TRANSB = 'N' or 'n',  and is  k otherwise.   
           Before entry with  TRANSB = 'N' or 'n',  the leading k by n 
           part of the array B must contain the matrix B, otherwise 
           the leading n by k part of the array B must contain the 
           matrix B.   
           Unchanged on exit.   

  LDB    - (input) int
           On entry, LDB specifies the first dimension of B as declared 
           in the calling (sub) program. LDB must be at least max( 1, n ).  
           Unchanged on exit.   

  BETA   - (input) singlecomplex
           On entry, BETA specifies the scalar beta. When BETA is   
           supplied as zero then C need not be set on input.   

  C      - COMPLEX PRECISION array of DIMENSION ( LDC, n ).   
           Before entry, the leading m by n part of the array C must 
           contain the matrix C,  except when beta is zero, in which 
           case C need not be set on entry.   
           On exit, the array C is overwritten by the m by n matrix 
          ( alpha*op( A )*B + beta*C ).   

  LDC    - (input) int
           On entry, LDC specifies the first dimension of C as declared 
           in the calling (sub)program. LDC must be at least max(1,m).   
           Unchanged on exit.   

  ==== Sparse Level 3 Blas routine.   
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