Ejemplos de ct_discrete en C++ (Cpp)

Ejemplo n.º 1

Archivo: tmswift.cpp Proyecto: OperaBed/TMSWIFT

int main(int argc, char *argv[])
{
 	PetscErrorCode ierr;
	params params;

	Mat H; 

	SlepcInitialize(&argc,&argv,(char*)0,help);

	ierr = PetscPrintf(PETSC_COMM_WORLD,"--------------------------------------------------------------------------------------\n");CHKERRQ(ierr);
	ierr = PetscPrintf(PETSC_COMM_WORLD,"               _______ __  __  _______          _______ ______ _______                \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"              |__   __|  \\/  |/ ____\\ \\        / /_   _|  ____|__   __|               \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"                 | |  | \\  / | (___  \\ \\  /\\  / /  | | | |__     | |                  \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"                 | |  | |\\/| |\\___ \\  \\ \\/  \\/ /   | | |  __|    | |                  \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"                 | |  | |  | |____) |  \\  /\\  /   _| |_| |       | |                  \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"                 |_|  |_|  |_|_____/    \\/  \\/   |_____|_|       |_|                  \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"               True Muonium Solver with Iterative Front-Form Techniques               \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"                                                                                      \n");CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_WORLD,"--------------------------------------------------------------------------------------\n");CHKERRQ(ierr);


	read_input(ierr,argv,&params);
	print_input(ierr,&params);
	
	if(check_file(params.hfile))
	{
		PetscViewer    viewer_H;
		PetscViewerBinaryOpen(PETSC_COMM_WORLD,params.hfile.c_str(),FILE_MODE_READ,&viewer_H);
		MatCreate(PETSC_COMM_WORLD,&H);
		MatSetFromOptions(H);
		MatLoad(H,viewer_H);
		PetscViewerDestroy(&viewer_H);		

	}else
	{
        	discretize(ierr,&params);
//  	    	ierr = VecView(params.mu,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
//        	ierr = VecView(params.theta,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

		write_output(ierr,&params);	

        	coulomb_trick(ierr,&params);	
//		ierr = VecView(params.CT,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

		ct_discrete(ierr,&params);
//		ierr = VecView(params.CT,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

		hamiltonian(ierr,&params,H);
// 		ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_DENSE);//DENSE<-->COMMON
//	      	MatView(H,PETSC_VIEWER_STDOUT_WORLD);
	}

	cleanup(ierr,&params);	
	eigensolver(ierr,&params,H,argc,argv);

	ierr = MatDestroy(&H);CHKERRQ(ierr);

	ierr = SlepcFinalize();
	return 0;
}

Ejemplo n.º 2

Archivo: ctest.c Proyecto: stochasticresearch/bnlearn-r

/* conditional independence tests. */
SEXP ctest(SEXP x, SEXP y, SEXP sx, SEXP data, SEXP test, SEXP B, SEXP alpha,
    SEXP learning) {

int ntests = length(x), nobs = 0;
double *pvalue = NULL, statistic = 0, df = NA_REAL;
const char *t = CHAR(STRING_ELT(test, 0));
test_e test_type = test_label(t);
SEXP xx, yy, zz, result;

  /* allocate the return value, which the same length as x. */
  PROTECT(result = allocVector(REALSXP, ntests));
  setAttrib(result, R_NamesSymbol, x);
  pvalue = REAL(result);
  /* set all elements to zero. */
  memset(pvalue, '\0', ntests * sizeof(double));

  /* extract the variables from the data. */
  PROTECT(xx = c_dataframe_column(data, x, FALSE, FALSE));
  PROTECT(yy = c_dataframe_column(data, y, TRUE, FALSE));
  PROTECT(zz = c_dataframe_column(data, sx, FALSE, FALSE));
  nobs = length(yy);

  if (IS_DISCRETE_ASYMPTOTIC_TEST(test_type)) {

    /* parametric tests for discrete variables. */
    statistic = ct_discrete(xx, yy, zz, nobs, ntests, pvalue, &df, test_type);

  }/*THEN*/
  else if ((test_type == COR) || (test_type == ZF) || (test_type == MI_G) ||
           (test_type == MI_G_SH)) {

    /* parametric tests for Gaussian variables. */
    statistic = ct_gaustests(xx, yy, zz, nobs, ntests, pvalue, &df, test_type);

  }/*THEN*/
  else if (test_type == MI_CG) {

    /* conditional linear Gaussian mutual information test. */
    statistic = ct_micg(xx, yy, zz, nobs, ntests, pvalue, &df);

  }/*THEN*/
  else if (IS_DISCRETE_PERMUTATION_TEST(test_type)) {

    statistic = ct_dperm(xx, yy, zz, nobs, ntests, pvalue, &df, test_type, INT(B),
                  IS_SMC(test_type) ? NUM(alpha) : 1);

  }/*THEN*/
  else if (IS_CONTINUOUS_PERMUTATION_TEST(test_type)) {

    statistic = ct_gperm(xx, yy, zz, nobs, ntests, pvalue, &df, test_type, INT(B),
                  IS_SMC(test_type) ? NUM(alpha) : 1);

  }/*THEN*/

  UNPROTECT(4);

  /* catch-all for unknown tests (after deallocating memory.) */
  if (test_type == ENOTEST)
    error("unknown test statstic '%s'.", t);

  /* increase the test counter. */
  test_counter += ntests;

  if (isTRUE(learning))
    return result;
  else
    return c_create_htest(statistic, test, pvalue[ntests - 1], df, B);

}/*CTEST*/