discretize_circle_equidist Namespace Reference

Functions
	print_point (point, area, prefix="")
	mult (matrix, vector)
	discretize_circle (radius, num_r_points, num_theta)

Function Documentation

discretize_circle()

discretize_circle_equidist.discretize_circle	(		radius,
			num_r_points,
			num_theta
	)

Generates discretization of circle so that area of all nodes are same

Definition at line 21 of file discretize_circle_equidist.py.

def discretize_circle(radius, num_r_points, num_theta):
    """Generates discretization of circle so that area of all nodes are same"""
 
    # particle data
    sim_particle_r = radius
 
    # store location of nodes 
    sim_particles = []
 
    # store area of nodes
    sim_particles_area = []
 
    # get angle
    sim_num_theta = num_theta
    sim_theta_interval = 2. * np.pi / (float(sim_num_theta))
    angle = 0.
 
    # loop over internal points
    for i in xrange(num_r_points+1):
 
        x = [radius - i * radius / (float(num_r_points)), 0.]
 
        sim_particles.append(x)
        
        x_next = [0., 0.]
        if i < num_r_points - 1:
            x_next = [radius - (i+1.) * radius / (float(num_r_points)), 0.]
 
        x_prev = [0., 0.]
        if i > 0:
            x_prev = [radius - (i-1.) * radius / (float(num_r_points)), 0.]
 
        # compute area
        area_new = 0.
        if i == 0:
            area_new = sim_theta_interval * (1. - (x[0] + x_next[0]) * (x[0] + x_next[0]) * 0.25)
        elif i == num_r_points:
            area_new = np.pi * ((x_prev[0] + x[0]) * (x_prev[0] + x[0]) * 0.25)
        else:
            area_new = sim_theta_interval * ((x_prev[0] + x[0]) * (x_prev[0] + x[0]) * 0.25 - (x_next[0] + x[0]) * (x_next[0] + x[0]) * 0.25)
 
        sim_particles_area.append(area_new)
        print_point(x, area_new)
 
    # rotate all points
    sim_particles_new = []
    sim_particles_area_new  = []
    for theta in xrange(sim_num_theta):
        angle = theta * sim_theta_interval
 
        # get matrix
        matrix = []
        a = [np.cos(angle), -np.sin(angle)]
        matrix.append(a)
        a = [np.sin(angle), np.cos(angle)]
        matrix.append(a)
 
        for i in xrange(len(sim_particles)):
 
            x_old = [sim_particles[i][0], sim_particles[i][1]]
            area = sim_particles_area[i]
 
            x_new = mult(matrix, x_old)
 
            continue_i = True
            if i == len(sim_particles) - 1 and theta > 0:
                continue_i = False
 
            if continue_i == True:
                sim_particles_new.append(x_new)
                sim_particles_area_new.append(area)
 
    # print points to csv file
    # generate csv file
    inpf = open('circle_mesh.csv','w')
 
    # header
    inpf.write("id, x, y, volume\n")
 
    for i in xrange(len(sim_particles_new)):
        inpf.write("%d, %Lf, %Lf,%Lf\n" % (i, sim_particles_new[i][0], sim_particles_new[i][1], sim_particles_area_new[i]))
 
    inpf.close()
 

References mult(), and print_point().

Here is the call graph for this function:

mult()

discretize_circle_equidist.mult	(		matrix,
			vector
	)

Definition at line 18 of file discretize_circle_equidist.py.

def mult(matrix, vector):
    return [matrix[0][0] * vector[0] + matrix[0][1] * vector[1], matrix[1][0] * vector[0] + matrix[1][1] * vector[1]]
 

Referenced by discretize_circle().

Here is the caller graph for this function:

print_point()

discretize_circle_equidist.print_point	(		point,
			area,
			prefix = ""
	)

Definition at line 6 of file discretize_circle_equidist.py.

def print_point(point, area, prefix = ""):
    str = prefix + " area = " + "%4.6e" %(area) + ", point = ["
    N = 2
    for i in xrange(N):
        str += "%4.6e" % (point[i])
        if i < N - 1:
            str += ", "
        else:
            str += "]\n"
 
    print(str)
 

Referenced by discretize_circle().

Here is the caller graph for this function: