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picture1_Geometry Pdf 166861 | Vectorgeometry


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File: Geometry Pdf 166861 | Vectorgeometry
vector geometry for computer graphics bob geitz january 2007 contents part i basic definitions coordinate systems 2 points and vectors 3 matrices and determinants 4 part ii operations vector addition ...

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                                                            1/33
                 Vector Geometry using Computers
                       (Book project in construction)
                          Walter Gander
                         gander@inf.ethz.ch
                       ETH Fachdidaktik Informatik
                           14. Oktober 2020
                                                                       2/33
          Motivation
            • Vector geometry is constructive, many interesting problems,
              nice algorithms
            • Classical books on vector geometry don’t use computers
            • Using computers is a good training for
              – vector geometry (full understanding of concepts necessary)
              – programming exercises (implement small nice algorithms)
            • New algorithms can be developed and applied (computers are not
              restricted to only use algorithms which are suited for hand
              computations)
                                                                          3/33
           Rotations (Givensrotations), not suited for hand-computations!
                    G                   G                    G
                    1                  2                  3      
             cosα −sinα 0         cosα 0 −sinα         1   0      0
                                                                 
                              0      1     0   0 cosα −sinα
              sinα   cosα   0
                                                                 
               0      0     1     sinα  0   cosα       0  sinα   cosα
             rotation around x3   rotation around x2   rotation around x1
               in x1x2-plane        in x1x3-plane        in x2x3-plane
                                                       
                        2 −2    0       −9.17 −0.44 5.67
                                                       
            • G G G              =                     
                3 2  1  4 −6 −1           0    −7.47 2.08
                                                       
                        8  4   −6         0      0    0.70
              Rotate column vectors to upper triangular matrix
            • Remarks about Descriptive Geometry!
                                                                                4/33
           Program for Givens-Reduction of a Linear System
           function [R,c]=GivensReduction(A,b)
           % GIVENSREDUCTION reduces the linear system A x= b to
           % upper triangular form R x = c
           [m,n]=size(A); [m,p]=size(b);
           R=[A,b];                         % append right hand sides
           for i=1:n                        % for all columns
              for k=i+1:m                   % rotate R(k,i) to 0
                if R(k,i)~=0                % skip if already 0
                  cot=-R(i,i)/R(k,i);
                  si=1/sqrt(1+cot^2); co=si*cot;
                  G=[co,-si;si,co];         % Givens rotation matrix
                  R(i:k-i:k,i:n+p)=G*R(i:k-i:k,i:n+p);
                end                         % apply to rows i and k
              end;
           end
           c=R(:,n+1:n+p); R=R(:,1:n);
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...Vector geometry for computer graphics bob geitz january contents part i basic definitions coordinate systems points and vectors matrices determinants ii operations addition scalar multiplication the dot product of two projections cross d matrix iii applications equation a line or ray plane outward pointing normals finding viewer axes distance from point to determining if is inside convex polygon polyhedron algorithm reflection rays iv intersection algorithms sphere algebraic version geometric ellipsoid lines in most pictured with first on horizontal axis second vertical as situation somewhat more complex note that following are essentially same we can rotate one into other hand pair different no set rotations will convert usual way think this have handedness either right handed left you label your index fingers an x middle y thumbs z then be able align hands given illustrated immediately above should system means it similarly matches so n dimensional space just collection values consid...

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