Differences between revisions 110 and 117 (spanning 7 versions)
 ⇤ ← Revision 110 as of 2020-06-02 14:07:39 → Size: 62947 Editor: kcrisman Comment: ← Revision 117 as of 2020-08-11 14:10:09 → ⇥ Size: 63144 Editor: kcrisman Comment: Deletions are marked like this. Additions are marked like this. Line 205: Line 205: # html('

Numerical integrals with the midpoint rule

') pretty_print(html('

Numerical integral with the {} rule

'.format(endpoint_rule))) Line 213: Line 213: sum_html = "%s \cdot \\left[ %s \\right]" % (dx, ' + '.join([ "f(%s)" % cap(i) for i in xs ]))    num_html = "%s \cdot \\left[ %s \\right]" % (dx, ' + '.join([ str(cap(i)) for i in ys ])) sum_html = "%s \\cdot \\left[ %s \\right]" % (dx, ' + '.join([ "f(%s)" % cap(i) for i in xs ]))    num_html = "%s \\cdot \\left[ %s \\right]" % (dx, ' + '.join([ str(cap(i)) for i in ys ])) Line 628: Line 628: pretty_print(html("

The midpoint rule for a function of two variables

")) pretty_print(html(r"

The midpoint rule for a function of two variables

")) Line 643: Line 643: pretty_print(html("$$\int_{"+str(R16(y_start))+"}^{"+str(R16(y_end))+"} "+ "\int_{"+str(R16(x_start))+"}^{"+str(R16(x_end))+"} "+func+"\ dx \ dy$$"))    pretty_print(html('

Numerical approximation: ' + str(num_approx)+'

')) pretty_print(html(r"$\int_{"+str(R16(y_start))+r"}^{"+str(R16(y_end))+r"} "+ r"\int_{"+str(R16(x_start))+r"}^{"+str(R16(x_end))+r"} "+latex(SR(func))+r"\ dx \ dy$"))    pretty_print(html(r'

Numerical approximation: ' + str(num_approx)+r'

')) Line 660: Line 660: from numpy import linspace from numpy import linspace, asanyarray, diff Line 712: Line 712: y_val = map(scaled_ff,x_val) y_val = [*map(scaled_ff,x_val)] Line 715: Line 715: pretty_print(html("$$\sum_{i=1}^{i=%s}w_i\left(%s\\right)= %s\\approx %s =\int_{-1}^{1}%s \,dx$$"%(n, pretty_print(html(r"$$\sum_{i=1}^{i=%s}w_i\left(%s\right)= %s\approx %s =\int_{-1}^{1}%s \,dx$$"%(n, Line 1033: Line 1033: pretty_print(html('\n
$\lim_{(x,?)\\rightarrow(x_0,y_0)} f(x,y) =%s$'%str(limit_x)+' and $\lim_{(?,y)\\rightarrow(x_0,y_0)} f(x,y) =%s$
'%str(limit_y))) pretty_print(html(r'
$\lim_{(x,?)\rightarrow(x_0,y_0)} f(x,y) =%s$'%str(limit_x)+r' and $\lim_{(?,y)\rightarrow(x_0,y_0)} f(x,y) =%s$
'%str(limit_y))) Line 1044: Line 1044: Line 1070: Line 1069: pretty_print(html('Enter $(x_0 ,y_0 )$ above and see what happens as the number of contour levels $\\rightarrow \infty$.')) pretty_print(html(r'Enter $(x_0 ,y_0 )$ above and see what happens as the number of contour levels $\rightarrow \infty$.')) Line 1083: Line 1082: pretty_print(table([[surface],['hi']])) show(surface) Line 1384: Line 1383: == Lateral Surface Area (FIXME in Jupyter) == == Lateral Surface Area == Line 1389: Line 1388: Note that this works in Sage cell, but causes a zip file error in Jupyter Line 1456: Line 1457: == Parametric surface example (FIXME in Jupyter) == == Parametric surface example == Line 1458: Line 1459: Note that this works in Sage cell, but causes a zip file error in Jupyter. Line 1506: Line 1509: u(t) = u    v(t) = v    w(t) = w

# Sage Interactions - Calculus

## Root Finding Using Bisection

by William Stein ## Newton's Method

Note that there is a more complicated Newton's method below.

by William Stein ## A contour map and 3d plot of two inverse distance functions

by William Stein ## A simple tangent line grapher

by Marshall Hampton ## Numerical integrals with the midpoint rule

by Marshall Hampton ## Numerical integrals with various rules

by Nick Alexander (based on the work of Marshall Hampton) ## Some polar parametric curves

by Marshall Hampton. This is not very general, but could be modified to show other families of polar curves. ## Function tool

Enter symbolic functions f, g, and a, a range, then click the appropriate button to compute and plot some combination of f, g, and a along with f and g. This is inspired by the Matlab funtool GUI. ## Newton-Raphson Root Finding

by Neal Holtz

This allows user to display the Newton-Raphson procedure one step at a time. It uses the heuristic that, if any of the values of the controls change, then the procedure should be re-started, else it should be continued. ## Coordinate Transformations

by Jason Grout  ## Taylor Series

by Harald Schilly ## Illustration of the precise definition of a limit

by John Perry

I'll break tradition and put the image first. Apologies if this is Not A Good Thing. ## A graphical illustration of sin(x)/x -> 1 as x-> 0

by Wai Yan Pong ## Quadric Surface Plotter

by Marshall Hampton. This is pretty simple, so I encourage people to spruce it up. In particular, it isn't set up to show all possible types of quadrics. ## The midpoint rule for numerically integrating a function of two variables

by Marshall Hampton ## Gaussian (Legendre) quadrature

by Jason Grout

The output shows the points evaluated using Gaussian quadrature (using a weight of 1, so using Legendre polynomials). The vertical bars are shaded to represent the relative weights of the points (darker = more weight). The error in the trapezoid, Simpson, and quadrature methods is both printed out and compared through a bar graph. The "Real" error is the error returned from scipy on the definite integral.  ## Vector Calculus, 2-D Motion

By Rob Beezer

A fast_float() version is available in a worksheet ## Vector Calculus, 3-D Motion

by Rob Beezer

Available as a worksheet ## Multivariate Limits by Definition

by John Travis  ## Directional Derivatives

This interact displays graphically a tangent line to a function, illustrating a directional derivative (the slope of the tangent line). ## 3D graph with points and curves

By Robert Marik

This sagelet is handy when showing local, constrained and absolute maxima and minima in two variables. Available as a worksheet ## Approximating function in two variables by differential

by Robert Marik ## Taylor approximations in two variables

by John Palmieri

This displays the nth order Taylor approximation, for n from 1 to 10, of the function sin(x2 + y2) cos(y) exp(-(x2+y2)/2). ## Volumes over non-rectangular domains

by John Travis ## Lateral Surface Area

by John Travis

Note that this works in Sage cell, but causes a zip file error in Jupyter ## Parametric surface example

by Marshall Hampton

Note that this works in Sage cell, but causes a zip file error in Jupyter. ## Line Integrals in 3D Vector Field

by John Travis interact/calculus (last edited 2020-08-11 14:10:09 by kcrisman)