home *** CD-ROM | disk | FTP | other *** search
-
- /*
- YAMP - Yet Another Matrix Program
- Version: 1.2
- Author: Mark Von Tress, Ph.D.
- Date: 01/23/92
-
- Copyright(c) Mark Von Tress 1992
- Portions of this code are (c) 1991 by Allen I. Holub and are used by
- permission.
-
- DISCLAIMER: THIS PROGRAM IS PROVIDED AS IS, WITHOUT ANY
- WARRANTY, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED
- TO FITNESS FOR A PARTICULAR PURPOSE. THE AUTHOR DISCLAIMS
- ALL LIABILITY FOR DIRECT OR CONSEQUENTIAL DAMAGES RESULTING
- FROM USE OF THIS PROGRAM.
-
- */
- // make sure to define the global define variable IN_RAM if you want
- // to use the medium model. This can be done in the compiler code
- // generation window of compiler options. It may also be defined for
- // the command line compiler
-
- #include "virt.h"
-
- /* required global declaration for the matrix stack object */
-
- //unsigned int _stklen = STACKLENGTH;
-
- MStack *Dispatch = new MStack;
-
-
- VMatrix& function1( VMatrix &a, VMatrix &b )
- {
- // This function tests the freind functions and returns a value
-
- a.Garbage("function1"); // check a and b
- b.Garbage("function1");
-
- Dispatch->Inclevel(); // increment push-pop level
- VMatrix c("c",1,1); // create a local matrix
-
- c = a + b + a + b; // check a repeated matrix addition
- c.DisplayMat(); // print c
- c = 431.2 + Tran(a)*b + 2.134; // check commutivity of scalar addition
- c.DisplayMat(); // print c
- c = -c; // check uniary minus
- c.DisplayMat(); // print c
- c = a - b; // matrix subraction
- c.DisplayMat(); // print c
- c = 5 - a - 5; // check commutivity of scalar subtraction
- c.DisplayMat(); // print c
- c = 5*a*5; // check commutivity of scalar multiplication
- c.DisplayMat(); // print c
- c = a%a; // check elementwise multiplication
- c.DisplayMat(); // print c
- c = a/1234; // check scalar division
- c.DisplayMat(); // print c
- c = a/b; // check elementwise division
- c.DisplayMat(); // print c
-
- Dispatch->PrintStack(); // show stack before push
- Dispatch->Push(c); // push c onto stack
- Dispatch->PrintStack(); // examine stack after push
- return Dispatch->DecReturn(); // decrement push-pop level, and return
- // stack top
- }
-
- VMatrix &function0 ( void )
- {
- // test some of the output functions and raw matrix functions
-
- Dispatch->Inclevel();
- VMatrix d = VMatrix("d",1,1);
- VMatrix a,c,H;
-
- a = Reada( "catchv.dat" ); // read an ascii matrix
- a.DisplayMat(); // display a
- Writea( "junk.dat", a); // write ascii matrix
- a.Writeb( "junk.bin", a); // write binary matrix
- a = Readb( "junk.bin" ); // read binary matrix
- a.InfoMat(); // display matrix info
- a.DisplayMat(); // display a
- d = Submat( a, a.r, 4, 1, 2 ); // take a submatrix of a
- d.DisplayMat(); // display it
- c = Ch( d,d); // horizontal concatenation
- c.DisplayMat();
- c = Cv( d,d); // vertical contatenation
- c.DisplayMat();
- c = Kron(Ident( 3 ),d); // Kroniker's product
- Setdec( 1 ); // set number of decimals to print
- Setwid( 5 ); // set print width
- c.DisplayMat();
- H = Helm( 4 ); // make a helmert matrix
- H.DisplayMat(); // show that it is orthonormal
- d = Tran( H )*H;
- d.DisplayMat();
- d = H*Tran(H);
- d.DisplayMat();
-
- a = Ident( 4 ) + Fill(4,4,0.5); // redefine a
- a.DisplayMat(); // print a
- c = Tran(Helm(4))*a*H; // diagonalize a
- c.DisplayMat(); // display c
- c = Inv( a ); // invert a
- c.DisplayMat(); // display c
- VMatrix b; // create b
- b = c*a; // redefine b
- b.DisplayMat(); // display b
- c = function1(a,a); // call a function
- c.DisplayMat(); // display c
- Dispatch->Push(c);
- return Dispatch->DecReturn();
- }
-
- VMatrix ®ression( void ) // do a multiple linear regression
- {
- Dispatch->Inclevel();
- VMatrix a,xy,reg;
- a = Reada( "catchv.dat"); // read data
- VMatrix b = VMatrix("b", a.r, a.c); //simplify indexes
- int N=a.r; // N
- int p=3; // params
- xy = Ch( Fill(N,1,1), Submat(a,N,4,1,2) );// make x y
- reg = Sweep( 1,p, Tran(xy)*xy); // solve regression
- // using sweep
- reg.M(p+1,p+1) = reg.m(p+1,p+1)/((double )( N-p));
- // divide to get mse
-
- VMatrix x= Submat(xy,N,3,1,1);
- VMatrix y= Submat(xy,N,4,1,4);
- VMatrix betahat = Inv(Tran(x)*x)*Tran(x)*y; //solve regression using
- //normal equations
- betahat.DisplayMat();
- reg.DisplayMat();
- Dispatch->Push( reg ); // put return mat on stack
- return Dispatch->DecReturn(); // dec level & return
- }
-
- void altermatrix( VMatrix &t ) // alter a matrix element
- {
- t.M(1,1) = 2525.0;
- VMatrix temp = MSort( t, 1 );
- temp.DisplayMat();
- }
-
- void testhuge( void )
- {
- VMatrix VeryBig("vb",300,300);
- VeryBig.InfoMat();
-
- }
-
- void version1p1 ( void )
- {
- //
- // testreg.cpp for test of regression functions.
- //
- VMatrix A=Fill(6,6,1.0);
- VMatrix B=Fill(6,1,2.0);
-
- (Vec(A)).DisplayMat();
- (Vecdiag(A)).DisplayMat();
- (Diag(B)).DisplayMat();
- (Shape(A,3)).DisplayMat();
- (Sum(A,ROWS)).DisplayMat();
- (Sumsq(A,COLUMNS)).DisplayMat();
- (Cusum(A)).DisplayMat();
- (Mmin(B)).DisplayMat();
- (Mmax(B,ROWS)).DisplayMat();
-
- VMatrix C = Ch(A,Diag(B));
- Setwid(5);
- Setdec(2);
- C.DisplayMat();
- Crow( C, 1, 0.6 );
- C.DisplayMat();
- Srow( C, 1, 6 );
- C.DisplayMat();
- Lrow( C, 2,3, .5);
- C.DisplayMat();
- Ccol( C, 1, 0.6 );
- C.DisplayMat();
- Scol( C, 1,6 );
- C.DisplayMat();
- Lcol( C, 2,3, .5);
- C.DisplayMat();
- }
-
- main()
- {
- VMatrix testit;
-
- printf("%d\n", sizeof(testit) );
-
- testit = regression();
- testit.DisplayMat();
-
- VMatrix b = testit;
- VMatrix a = 2*testit;
-
- VMatrix c = a + b + a + b;
- c.DisplayMat();
-
- VMatrix t = function0() + function0();
- t.DisplayMat();
-
- altermatrix( testit );
- testit.DisplayMat();
-
- version1p1();
-
- #ifndef IN_RAM
- testhuge();
- #endif
-
- vclose();
- }
-