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m_alloc2, m_free2, v_alloc2, v_free2, m_alloc3, m_free3, v_alloc3, v_free3, m_cpy2, m_unity2, v_cpy2,

Author

       Hans Gringhuis.
       Klamer Schutte

                                                15 September 1992                                    GRAPHMAT(3)

Caveats

       Vector  addition  and  subtraction  and  matrix  addition and subtraction are not defined for homogeneous
       coordinates.  One can add and subtract a point vector and a free vector, but you have  to  normalise  the
       point vector first.  The result of the subtraction of two point vectors is a free vector.

       Calculating  the  determinant  of  a  matrix  and  the  length of a vector is unspecified in the sense of
       homogeneous coordinates

Description

       Matrix and vector routines associated with 3d graphics in homogeneous coordinates, such as  basic  linear
       algebra and elementary transformations.

       This library is setup with a multi-level approach.
       Level1:thedatalevel.Level2:thedatainitialisationlevel.Level3:basiclinearalgebralevel.Level4:elementarytransformationlevel.Level1, the data structures, is realised as follows :
       typedefunion{doublea[3];struct{doublex,y,w;}s;}hvec2_t;typedefunion{doublea[4];struct{doublex,y,z,w;}s;}hvec3_t;typedefstruct{doublem[3][3];}hmat2_t;typedefstruct{doublem[4][4];}hmat3_t;

       To access the data elements of a vector or a matrix can be accessed with the macros:

       #define   v_x( vec )((vec).s.x)
       #define   v_y( vec )((vec).s.y)
       #define   v_z( vec )((vec).s.z)
       #define   v_w( vec )((vec).s.w)
       #define   v_elem( vec, i )((vec).a[(i)])
       #define   m_elem( mat, i, j )((mat).m[(i)][(j)])

       typedefenum{X_AXIS,Y_AXIS,Z_AXIS}b_axis;

       The functions are as follows sorted:
       first on the level in which they belong, then on their return value and then on their name.

Name

       m_alloc2,  m_free2,  v_alloc2,  v_free2,  m_alloc3, m_free3, v_alloc3, v_free3, m_cpy2, m_unity2, v_cpy2,
       v_fill2, v_unity2, v_zero2,  m_cpy3,  m_unity3,  v_cpy3,  v_fill3,  v_unity3,  v_zero3,  m_det2,  v_len2,
       vtmv_mul2,  vv_inprod2,  m_inv2, m_tra2, mm_add2, mm_mul2, mm_sub2, mtmm_mul2, sm_mul2, mv_mul2, sv_mul2,
       v_homo2, v_norm2, vv_add2, vv_sub2, vvt_mul2, m_det3,  v_len3,  vtmv_mul3,  vv_inprod3,  m_inv3,  m_tra3,
       mm_add3,  mm_mul3,  mm_sub3,  mtmm_mul3, sm_mul3, mv_mul3, sv_mul3, v_homo3, v_norm3, vv_add3, vv_cross3,
       vv_sub3, vvt_mul3, miraxis2, mirorig2, mirplane2, rot2, scaorig2, scaplane2, scaxis2, transl2,  miraxis3,
       mirorig3,  mirplane3, prjorthaxis, prjpersaxis, rot3, scaorig3, scaplane3, scaxis3, transl3 - 3d graphics
       and associated matrix and vector routines

Names

       The  function  names begin with an abbreviation of the type of operand, and in which order the operations
       will be carried out on that operand. Then the order of and which operation will be carried out,  followed
       by the type of coordinates. (i.e vtmv_mul3(vector,matrix): first take the transpose of vector, multiply
       the  transpose  with  matrix,  this  result  is  multiplied  by  the incoming vector, all coordinates are
       homogeneous 3d coordinates.)

Note

       Library file is /usr/local/lib/libgraphmat.a

Return Values

       There are six types of return values: void,double,*hvec3_t,*hvec2_t,*hmat3_tand*hmat2_t.

See Also

graphadd(3), graphmat++(3), fmatpinv(3TV), malloc(3V), Graphics and matrix routines.

Synopsis

#include<graphmat.h>/*Datainitialisation*/hmat2_t*m_alloc2(m_result)hmat2_t*m_result;voidm_free2(matrix)hmat2_t*matrix;hvec2_t*v_alloc2(v_result)hvec2_t*v_result;voidv_free2(vector)hmat2_t*vector;hmat3_t*m_alloc3(m_result)hmat3_t*m_result;voidm_free3(matrix)hmat3_t*matrix;hvec3_t*v_alloc3(v_result)hvec3_t*v_result;voidv_free3(vector)hmat3_t*vector;hmat2_t*m_cpy2(m_source,m_result)hmat2_t*m_source,*m_result;hmat2_t*m_unity2(m_result)hmat2_t*m_result;hvec2_t*v_cpy2(v_source,v_result)hvec2_t*v_source,*v_result;hvec2_t*v_fill2(x,y,w,v_result)doublex,y,w;hvec2_t*v_result;hvec2_t*v_unity2(axis,v_result)b_axisaxis;hvec2_t*v_result;hvec2_t*v_zero2(v_result)hvec2_t*v_result;hmat3_t*m_cpy3(m_source,m_result)hmat3_t*m_source,*m_result;hmat3_t*m_unity3(m_result)hmat3_t*m_result;hvec3_t*v_cpy3(v_source,v_result)hvec3_t*v_source,*v_result;hvec3_t*v_fill3(x,y,z,w,v_result)doublex,y,z,w;hvec3_t*v_result;hvec3_t*v_unity3(axis,v_result)b_axisaxis;hvec3_t*v_result;hvec3_t*v_zero3(vector)hvec3_t*vector;/*BasicLinearAlgebra*/doublem_det2(matrix)hmat2_t*matrix;doublev_len2(vector)hvec2_t*vector;doublevtmv_mul2(vector,matrix)hvec2_t*vector;hmat2_t*matrix;doublevv_inprod2(vectorA,vectorB)hvec2_t*vectorA,*vectorB;hmat2_t*m_inv2(matrix,m_result)hmat2_t*matrix,*m_result;hmat2_t*m_tra2(matrix,m_result)hmat2_t*matrix,*m_result;hmat2_t*mm_add2(matrixA,matrixB,m_result)hmat2_t*matrixA,*matrixB,*m_result;hmat2_t*mm_mul2(matrixA,matrixB,m_result)hmat2_t*matrixA,*matrixB,*m_result;hmat2_t*mm_sub2(matrixA,matrixB,m_result)hmat2_t*matrixA,*matrixB,*m_result;hmat2_t*mtmm_mul2(matrixA,matrixB,m_result)hmat2_t*matrixA,*matrixB,*m_result;hmat2_t*sm_mul2(scalar,matrix,m_result)doublescalar;hmat2_t*matrix,*m_result;hmat2_t*vvt_mul2(vectorA,vectorB,m_result)hvec2_t*vectorA,*vectorB;hmat2_t*m_result;hvec2_t*mv_mul2(matrix,vector,v_result)hmat2*matrix;hvec2_t*vector,*v_result;hvec2_t*sv_mul2(scalar,vector,v_result)doublescalar;hvec2_t*vector,*v_result;hvec2_t*v_homo2(vector,v_result)hvec2_t*vector,*v_result;hvec2_t*v_norm2(vector,v_result)hvec2_t*vector,*v_result;hvec2_t*vv_add2(vectorA,vectorB,v_result)hvec2_t*vectorA,*vectorB,*v_result;hvec2_t*vv_sub2(vectorA,vectorB,v_result)hvec2_t*vectorA,*vectorB,*v_result;doublem_det3(matrix)hmat3_t*matrix;doublev_len3(vector)hvec3_t*vector;doublevtmv_mul3(vector,matrix)hvec3_t*vector;hmat3_t*matrix;doublevv_inprod3(vectorA,vectorB)hvec3_t*vectorA,*vectorB;hmat3_t*m_inv3(matrix,m_result)hmat3_t*matrix,*m_result;hmat3_t*m_tra3(matrix,m_result)hmat3_t*matrix,*m_result;hmat3_t*mm_add3(matrixA,matrixB,m_result)hmat3_t*matrixA,*matrixB,*m_result;hmat3_t*mm_mul3(matrixA,matrixB,m_result)hmat3_t*matrixA,*matrixB,*m_result;hmat3_t*mm_sub3(matrixA,matrixB,m_result)hmat3_t*matrixA,*matrixB,*m_result;hmat3_t*mtmm_mul3(matrixA,matrixB,m_result)hmat3_t*matrixA,*matrixB,*m_result;hmat3_t*sm_mul3(scalar,matrix,m_result)doublescalar;hmat3_t*matrix,*m_result;hmat3_t*vvt_mul3(vectorA,vectorB,m_result)hvec3_t*vectorA,*vectorB;hmat3_t*m_result;hvec3_t*mv_mul3(matrix,vector,v_result)hmat3_t*matrix;*hvec3_t*vector,*v_result;hvec3_t*sv_mul3(scalar,vec,v_result)doublescalar;hvec3_t*vector,*v_result;hvec3_t*v_homo3(vector,v_result)hvec3_t*vector,*v_result;hvec3_t*v_norm3(vector,v_result)hvec3_t*vector,*v_result;hvec3_t*vv_add3(vectorA,vectorB,v_result)hvec3_t*vectorA,*vectorB,*v_result;hvec3_t*vv_cross3(vectorA,vectorB,v_result)hvec3_t*vectorA,*vectorB,*v_result;hvec3_t*vv_sub3(vectorA,vectorB,v_result)hvec3_t*vectorA,*vectorB,*v_result;/*Elementarytransformations*/hmat2_t*miraxis2(axis,m_result)b_axisaxis;hmat2_t*m_result;hmat2_t*mirorig2(m_result)hmat2_t*m_result;hmat2_t*rot2(rotation,m_result)doublerotation;hmat2_t*m_result;hmat2_t*scaorig2(scale,m_result)doublescale;hmat2_t*m_result;hmat2_t*scaxis2(scale,axis,m_result)doublescale;b_axisaxis;hmat2_t*m_result;hmat2_t*transl2(translation,m_result)hvec2_t*translation;hmat2_t*m_result;hmat3_t*miraxis3(axis,m_result)b_axisaxis;hmat3_t*m_result;hmat3_t*mirorig3(m_result)hmat3_t*m_result;hmat3_t*mirplane3(plane,m_result)b_axisplane;hmat3_t*m_result;hmat3_t*prjorthaxis(axis,m_result)b_axisaxis;hmat3_t*m_result;hmat3_t*prjpersaxis(axis,m_result)b_axisaxis;hmat3_t*m_result;hmat3_t*rot3(rotation,axis,m_result)doublerotation;b_axisaxis;hmat3_t*m_result;hmat3_t*scaorig3(scale,m_result)doublescale;hmat3_t*m_result;hmat3_t*scaplane(scale,plane,m_result)doublescale;b_axisplane;hmat3_t*m_result;hmat3_t*scaxis3(scale,axis,m_result)doublescale;b_axisaxis;hmat3_t*m_result;hmat3_t*transl3(translation,m_result)hvec3_t*translation;hmat3_t*m_result;

Usage

       All the "functions" may have been implemented as macro's, so you can't take the address of a function. It
       is however guaranteed that arguments of each function/macro will be evaluated only once, except  for  the
       result argument, which can be evaluated multiple times.

       All operations can be used in place, but overlapping data gives unspecified results.

       If the parameter v_result or m_result of a function or the parameter of an initialisation function equals
       NULL,  space  for  the parameter will be dynamically allocated using malloc(), otherwise the parameter is
       assumed to hold a pointer to a memory area which can be used. A pointer to the used area (which may  have
       been new allocated) is always returned.
       If  an  error  occurred  like  memory  could not be allocated, an attempt to divide by zero occurs, or an
       attempt to invert a singular matrix a general error-routine will be called, which has  two  parameters  :
       gm_errno and gm_func.gm_errno  is the error type which is one of the following constants : DIV0,NOMEM or MATSING.gm_func is
       a pointer to a string which contains the name of the function where the error occurred.

       A pointer to the error routine is defined as follows :
       void(*gm_error)(gm_errno,gm_func);gm_error_tgm_errno;char*gm_func;

       With gm_error_t is defined as :
       typedefenum{DIV0,NOMEM,MATSING}gm_error_t;

       The default error handler will abort after printing a diagnostic. You can redirect gm_error to  your  own
       error  handler. It is not advisable to return from the error handler as error recovery is not expected to
       take place.

       Matrices are of type hmat3_t or hmat2_t for 2d or 3d coordinates, respectively.
       Vectors are of type hvec3_t or hvec2_t.

       The elements of a vector can be accessed in two manners, the first one is by name  of  an  element  of  a
       structure, the second is like an array.

       A  plane is described by the normal to that plane, with the assumption made that the origin is an element
       of the plane.

       rotation is assumed to be a radial.

       If a function is deallocating memory, it will check if the incoming pointer is a NULL pointer.

       /*Level2:Datainitialisation*/m_alloc2(),v_alloc2(),m_alloc3(),v_alloc3() allocate memory for a data item of type hmat2_t,hvec2_t,hmat3_t and hvec3_t respectively.
       m_free2(),v_free2(),m_free3(),v_free3() reclaim the storage allocated previously.
       m_cpy2(),m_cpy3() copies m_matrix into m_result.m_unity2(),m_unity3() returns the unity matrix. (2d respectively 3d homogeneous coordinates)
       v_cpy2(),v_cpy3() copies v_source into v_result.  (2d respectively 3d homogeneous coordinates)
       v_fill2(),v_fill3() fills v_result according the given values.
       v_unity2(),v_unity3() returns the unity vector with w=1.0, the incoming basic axis axis=1.0, and the
       other element(s) are 0.0; (2d  respectively 3d homogeneous coordinates)
       v_zero2(),v_zero3() return a vector with w = 1.0 and the other elements 0.0;
       m_cpy2(),m_cpy3() copies m_source into m_result.  (2d respectively 3d homogeneous coordinates)

       /*level3:BasicLinearAlgebra*/m_det2(),m_det3()  calculates  the determinant of the incoming matrix. The determinant is calculated in
       cartesian rather than homogeneous coordinates.
       v_len2(),v_len3() calculates the length of the cathesian part of the homogeneous vector.
       vtmv_mul2(),vtmv_mul3() calculate the result of the transpose of the incoming vector multiplied  by  the
       incoming matrix multiplied by the incoming vector (2d respectively 3d homogeneous coordinates)
       vv_inprod2(),vv_inprod3()  calculates  the  geometrical  innerproduct  (vector . vector) of vectorA and
       vectorB.m_inv2(),m_inv3() calculates the inverse of matrix.  It is an error if the matrix in singular.
       m_tra2(),m_tra3() calculates the transpose matrix.  (2d respectively 3d homogeneous coordinates)
       mm_add2(),mm_sub2(),mm_add3(),mm_sub3() calculates the result of matrixA  +  respectively  -  matrixB.
       This  operation  is  unspecified in the sense of homogeneous coordinates; the matrices are taken in their
       normal, mathematial sense.
       mm_mul2(),mm_mul3()  calculates  the  result  of  matrixA*matrixB  (2d  respectively   3d   homogeneous
       coordinates)
       mtmm_mul2(),mtmm_mul3()  calculates  the  result of the transpose of the incoming matrixA multiplied by
       matrixB multiplied by matrixA (2d respectively 3d homogeneous coordinates)
       sm_mul2(),sm_mul3() calculates the result of scalar*matrix (2d respectively 3d homogeneous coordinates)
       mv_mul2(),mv_mul3() calculates the result of matrix*vector (2d respectively 3d homogeneous coordinates)
       sv_mul2(),sv_mul3()  calculates  the  result  of  scalar*vector.   (2d  respectively   3d   homogeneous
       coordinates)
       v_homo2(),v_homo3()  homogenize vector so that the w component becomes 1.0 but the length of the vector
       in homogeneous coordinates stays the same. (2d respectively 3d homogeneous coordinates)
       v_norm2(),v_norm3() normalises the incoming vector so the length of the cartesian  vector  becomes  1.0.
       The homogeneous length stays the same.  (2d respectively 3d homogeneous coordinates)
       vv_add2(),vv_sub2(),vv_add3(),vv_sub3()  calculates the result of vectorA + respectively - vectorB.
       These operations are done in the mathematical sense. Be careful  with  homogeneous  coordinates,  as  not
       every possible input makes sense.
       vvt_mul2(),vvt_mul3()  calculates  the  result  of  vectorA  multiplied by the transpose of vectorB (2d
       respectively 3d homogeneous coordinates)
       vv_cross3() calculates the geometrical crossproduct ( vectorAxvectorB)oftwo vectors  (3d  homogeneous
       coordinates)

       /*level4:Elementarytransformations*/miraxis2(),miraxis3()  calculates  the  mirror  matrix  with  respect  to  axis.   (2d  respectively 3d
       homogeneous coordinates)
       mirorg2(),mirorg3() calculates the mirror matrix relative to the origin. (2d respectively 3d homogeneous
       coordinates)
       mirplane3() calculates the mirror matrix relative to a plane. (3d homogeneous coordinates)
       rot2() calculates the rotation matrix over rotation relative to the origin.  (2d homogeneous coordinates)
       rot3() calculates the rotation matrix over rotation along axis.  (3d homogeneous coordinates)
       scaorg2(),scaorg3() calculates the matrix of scaling with scale relative to the origin. (2d respectively
       3d homogeneous coordinates)
       scaplane3() calculates the matrix of scaling with scale relative to a plane of which plane is the normal.
       (3d homogeneous coordinates)
       scaxis2(),scaxis3() calculates the matrix of scaling with scale relative to the line given by axis.  (2d
       respectively 3d homogeneous coordinates)
       transl2(),transl3() calculates the translation matrix over translation.  (2d respectively 3d homogeneous
       coordinates)
       prjorthaxis() calculates the orthographic projection matrix along axis.  (3d homogeneous coordinates)
       prjpersaxis() calculates the perspective projection with along axis The  focus  is  in  the  origin.  The
       projection plane is on distance 1.0 before the camera.  (3d homogeneous coordinates)

See Also