~ [ source navigation ] ~ [ diff markup ] ~ [ identifier search ] ~ [ freetext search ] ~ [ file search ] ~

Linux Cross Reference
Tina6/tina-libs/tina/math/mathMatr_tensor.c

Version: ~
Architecture: ~ [ i386 ] ~ [ alpha ] ~ [ m68k ] ~ [ mips ] ~ [ ppc ] ~ [ sparc ] ~ [ sparc64 ] ~

  1 /**********
  2  *
  3  * Copyright (c) 2003, Division of Imaging Science and Biomedical Engineering,
  4  * University of Manchester, UK.  All rights reserved.
  5  * 
  6  * Redistribution and use in source and binary forms, with or without modification, 
  7  * are permitted provided that the following conditions are met:
  8  * 
  9  *   . Redistributions of source code must retain the above copyright notice, 
 10  *     this list of conditions and the following disclaimer.
 11  *    
 12  *   . Redistributions in binary form must reproduce the above copyright notice,
 13  *     this list of conditions and the following disclaimer in the documentation 
 14  *     and/or other materials provided with the distribution.
 15  * 
 16  *   . Neither the name of the University of Manchester nor the names of its
 17  *     contributors may be used to endorse or promote products derived from this 
 18  *     software without specific prior written permission.
 19  * 
 20  * 
 21  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
 22  * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
 23  * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
 24  * ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 
 25  * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
 26  * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
 27  * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 28  * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 
 29  * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 
 30  * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
 31  * POSSIBILITY OF SUCH DAMAGE.
 32  *
 33  **********
 34  *
 35  * Program :    TINA
 36  * File    :  $Source: /home/tina/cvs/tina-libs/tina/math/mathMatr_tensor.c,v $
 37  * Date    :  $Date: 2003/09/23 11:32:20 $
 38  * Version :  $Revision: 1.4 $
 39  * CVS Id  :  $Id: mathMatr_tensor.c,v 1.4 2003/09/23 11:32:20 matts Exp $
 40  *
 41  * Author  :  Legacy TINA
 42  *
 43  * Notes : Matrix multiplication (various types and shapes)
 44  *
 45  *********
 46 */
 47 /** 
 48  *  @file
 49  *  @brief  Calculates the Matrix tensor from two Vectors.      
 50  *
 51  *
 52  * 
 53 */
 54 
 55 #include "mathMatr_tensor.h"
 56 
 57 #if HAVE_CONFIG_H
 58 #include <config.h>
 59 #endif
 60 
 61 
 62 #include <tina/sys/sysDef.h>
 63 #include <tina/sys/sysPro.h>
 64 #include <tina/math/math_MatrDef.h>
 65 #include <tina/math/math_VecDef.h>
 66 #include <tina/math/math_VecPro.h>
 67 #include <tina/math/mathMatr_alloc.h>
 68 #include <tina/math/mathMatr_put.h>
 69 #include <tina/math/mathMatr_util.h>
 70 #include <tina/math/mathMatr_vprod.h>
 71 #include <tina/math/math_TypPro.h>
 72 
 73 #ifdef _ICC
 74 #define matrix_tensor mat_tensor
 75 #endif
 76 
 77 Matrix         *matrix_tensor(Vector * v1, Vector * v2)
 78 {
 79         Matrix         *m;
 80         Vartype         vtype;
 81         int             i, j;
 82 
 83         if (v1 == NULL || v2 == NULL)
 84                 return (NULL);
 85 
 86         /** choose type of product: e.g. int*float = float, etc. **/
 87 
 88         vtype = matrix_sup_vtype(v1->vtype, v1->vtype);
 89         m = matrix_alloc(v1->n, v2->n, matrix_full, vtype);
 90         if (vtype == complex_v)
 91                 for (i = 0; i < v1->n; i++)
 92                         for (j = 0; j < v2->n; j++)
 93                         {
 94                                 Complex         v1i = {Complex_id};
 95                                 Complex         v2j = {Complex_id};
 96 
 97                                 VECTOR_GETZ(v1, i, v1i);
 98                                 VECTOR_GETZ(v2, j, v2j);
 99                                 matrix_putz(cmplx_prod(v1i, v2j), m, i, j);
100                         }
101         else
102                 for (i = 0; i < v1->n; i++)
103                         for (j = 0; j < v2->n; j++)
104                         {
105                                 double          v1i, v2j;
106 
107                                 VECTOR_GET(v1, i, v1i);
108                                 VECTOR_GET(v2, j, v2j);
109                                 matrix_putf(v1i * v2j, m, i, j);
110                         }
111         return (m);
112 }
113 

~ [ source navigation ] ~ [ diff markup ] ~ [ identifier search ] ~ [ freetext search ] ~ [ file search ] ~

This page was automatically generated by the LXR engine.
Visit the LXR main site for more information.