︠ab2ad55a-6ee7-416a-be50-96bc3dd2c33ai︠
from sage.plot.plot3d.platonic import index_face_set
def cuboid(v1,v2,**kwds):
    """
    Cuboid defined by corner points v1 and v2.
    """
    ptlist = []
    for vi in (v1,v2):
        for vj in (v1,v2):
            for vk in (v1,v2):
                ptlist.append([vi[0],vj[1],vk[2]])
    f_incs = [[0, 2, 6, 4], [0, 1, 3, 2], [0, 1, 5, 4], [1, 3, 7, 5], [2, 3, 7, 6], [4, 5, 7, 6]]
    
    if 'aspect_ratio' not in kwds:
        kwds['aspect_ratio'] = [1,1,1]
    return index_face_set(f_incs,ptlist,enclosed = True, **kwds)
var('x,y')
R16 = RealField(16)
npi = RDF(pi)
sin,cos = math.sin,math.cos 
html("<h1>The midpoint rule for a function of two variables</h1>")
@interact
def midpoint2d(func = input_box('y*sin(x)/x+sin(y)',type=str,label='function of x and y'), nx = slider(2,20,1,3,label='x subdivisions'), ny = slider(2,20,1,3,label='y subdivisions'), x_start = slider(-10,10,.1,0), x_end = slider(-10,10,.1,3*npi), y_start= slider(-10,10,.1,0), y_end= slider(-10,10,.1,3*npi)):
    f = sage_eval('lambda x,y: ' + func)
    delx = (x_end - x_start)/nx
    dely = (y_end - y_start)/ny
    xvals = [RDF(x_start + (i+1.0/2)*delx) for i in range(nx)]
    yvals = [RDF(y_start + (i+1.0/2)*dely) for i in range(ny)]
    num_approx = 0
    cubs = []
    darea = delx*dely
    for xv in xvals:
        for yv in yvals:
            num_approx += f(xv,yv)*darea
            cubs.append(cuboid([xv-delx/2,yv-dely/2,0],[xv+delx/2,yv+dely/2,f(xv,yv)], opacity = .5, rgbcolor = (1,0,0)))
    html("$$\int_{"+str(R16(y_start))+"}^{"+str(R16(y_end))+"} "+ "\int_{"+str(R16(x_start))+"}^{"+str(R16(x_end))+"} "+func+"\ dx \ dy$$")
    html('<p style="text-align: center;">Numerical approximation: ' + str(num_approx)+'</p>')
    p1 = plot3d(f,(x,x_start,x_end),(y,y_start,y_end))
    show(p1+sum(cubs))
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︠cafa7cc0-bdb5-4e2d-b759-03be96074015︠











Collaborative Calculation and Data Science

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The midpoint rule for a function of two variables

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The midpoint rule for a function of two variables

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