diff options
Diffstat (limited to 'FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions')
16 files changed, 820 insertions, 0 deletions
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/README.md b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/README.md new file mode 100644 index 0000000..4339c30 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/README.md @@ -0,0 +1,20 @@ +**file1_scalar_function** + + +**file2_domain_range** + + +**file3_parabola_example** + + +**file4_level_curves** + + +**file5_level_surface** + + +**file6_scalar_function_application** + + +**file7_neural_nets** + diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/Scalar_Function_Quiz.pdf b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/Scalar_Function_Quiz.pdf Binary files differnew file mode 100644 index 0000000..6d94a2c --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/Scalar_Function_Quiz.pdf diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file1_scalar_functions.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file1_scalar_functions.py new file mode 100644 index 0000000..1a6f4ed --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file1_scalar_functions.py @@ -0,0 +1,50 @@ +from manimlib.imports import *
+
+class ScalarFunction(Scene):
+ def construct(self):
+ circle = Circle(radius = 1.5, color = BLUE_E, fill_color = BLUE_C, fill_opacity = 0.1).move_to(2*LEFT)
+ dot_circle = Dot().shift(np.array([-1.5,0,0])).set_color(BLUE_E)
+ dot_circle_lab = TextMobject(r"$a$", color = BLUE_E).next_to(dot_circle, DOWN)
+
+ arrow = Arrow(np.array([3,-3,0]),np.array([3,3,0]))
+ line = Line(np.array([3,-1.5,0]),np.array([3,1.5,0]), color = RED_C)
+
+ dot0 = Dot().shift(np.array([3,0,0])).set_color(RED_E)
+ dot0_lab = TextMobject(r"$f(a)$", color = RED_E).scale(0.8).next_to(dot0, RIGHT)
+
+ dot1 = Dot().shift(np.array([3,-1.5,0])).set_color(RED_C)
+
+ dot2 = Dot().shift(np.array([3,1.5,0])).set_color(RED_C)
+ dot2_lab = TextMobject(r"$f(A)$", color = RED_C).scale(0.8).next_to(dot2, RIGHT)
+
+ arrow_f = Arrow(np.array([-1.5,0,0]),np.array([3,0,0]), color = YELLOW_C, buff = 0.1)
+
+ R = TextMobject(r"$\mathbb{R}$", color = WHITE).move_to(np.array([3,-3.3,0]))
+
+ A = TextMobject(r"$A$", color = BLUE_E).move_to(np.array([-2.5,-3.3,0]))
+
+ F = TextMobject(r"$f$", color = GREY).move_to(np.array([0,-2.9,0]))
+
+ F_center = TextMobject(r"$f$", color = YELLOW_C).move_to(np.array([0.8,0.5,0]))
+
+ arrow_R_A = Arrow(np.array([-2.3,-3.3,0]),np.array([2.7,-3.3,0]), color = GREY, buff = 0.1)
+
+ scalar_function = TextMobject(r"Scalar Valued Function", r"$f: A \rightarrow \mathbb{R}$", color = PURPLE).move_to(np.array([0,3.5,0]))
+ scalar_function[1].set_color(GREEN_C)
+
+
+
+ self.play(ShowCreation(circle))
+ self.play(ShowCreation(arrow))
+
+
+ self.play(ShowCreation(dot1), ShowCreation(dot2))
+ self.play(ShowCreation(dot_circle))
+ self.play(ShowCreation(dot_circle_lab), ShowCreation(dot2_lab))
+ self.play(ShowCreation(A), ShowCreation(R))
+ self.play(GrowArrow(arrow_f), ShowCreation(dot0), ShowCreation(dot0_lab), ShowCreation(F_center), GrowArrow(arrow_R_A), ShowCreation(F), Transform(circle.copy(), line.copy()))
+
+ self.play(Write(scalar_function))
+
+
+ self.wait(2)
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file2_domain_range.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file2_domain_range.py new file mode 100644 index 0000000..1b54cb6 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file2_domain_range.py @@ -0,0 +1,190 @@ +# Plotting Graphs
+from manimlib.imports import *
+
+class PlotGraphs(GraphScene):
+ CONFIG = {
+ "x_min": -5,
+ "x_max": 5,
+ "y_min": 0,
+ "y_max": 4,
+ "graph_origin": ORIGIN + 2.5* DOWN,
+ "x_labeled_nums": list(range(-5, 6)),
+ "y_labeled_nums": list(range(0, 5)),
+ }
+ def construct(self):
+
+ topic = TextMobject("Domain and Range")
+ topic.scale(2)
+ topic.set_color(YELLOW)
+ self.play(Write(topic))
+ self.play(FadeOut(topic))
+ self.wait(1)
+
+ scalar_func_R = TextMobject(r"Scalar Valued Functions in $R$").scale(1.5).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+ self.play(Write(scalar_func_R))
+ self.play(FadeOut(scalar_func_R))
+ self.wait(1)
+
+
+ XTD = self.x_axis_width/(self.x_max- self.x_min)
+ YTD = self.y_axis_height/(self.y_max- self.y_min)
+
+ self.setup_axes(animate = True)
+
+ graphobj = self.get_graph(lambda x : np.sqrt(x + 4), x_min = -4, x_max = 5)
+ graph_lab = self.get_graph_label(graphobj, label = r"\sqrt{x + 4}")
+
+
+ rangeline1 = Arrow(self.graph_origin+2.2*YTD*UP+5*XTD*LEFT, self.graph_origin+4.1*YTD*UP+5*XTD*LEFT)
+ rangeline2 = Arrow(self.graph_origin+1.7*YTD*UP+5*XTD*LEFT, self.graph_origin+5*XTD*LEFT)
+ rangeline1.set_color(RED)
+ rangeline2.set_color(RED)
+
+ rangeMsg = TextMobject(r"Range: $y \geq 0$")
+ rangeMsg.move_to(self.graph_origin+2*YTD*UP+5*XTD*LEFT)
+ rangeMsg.scale(0.5)
+ rangeMsg.set_color(YELLOW)
+
+ domainline1 = Arrow(self.graph_origin+0.6*YTD*DOWN+1.2*XTD*LEFT, self.graph_origin+0.6*YTD*DOWN + 4*XTD*LEFT, buff = 0.1)
+ domainline2 = Arrow(self.graph_origin+0.6*YTD*DOWN+1.1*XTD*RIGHT, self.graph_origin+0.6*YTD*DOWN + 5.3*XTD*RIGHT, buff = 0.1)
+ domainline1.set_color(PINK)
+ domainline2.set_color(PINK)
+
+ domainMsg = TextMobject(r"Domain: $x \geq -4$")
+ domainMsg.move_to(self.graph_origin+0.6*YTD*DOWN)
+ domainMsg.scale(0.5)
+ domainMsg.set_color(GREEN)
+
+
+
+
+ self.play(ShowCreation(graphobj))
+ self.play(ShowCreation(graph_lab))
+ self.wait(1)
+ self.play(GrowArrow(rangeline1))
+ self.play(GrowArrow(rangeline2))
+ self.play(Write(rangeMsg))
+ self.wait(1)
+ self.play(GrowArrow(domainline1))
+ self.play(GrowArrow(domainline2))
+ self.play(Write(domainMsg))
+ self.wait(3)
+
+ self.wait(2)
+
+
+
+
+class PlotSineGraphs(GraphScene):
+ CONFIG = {
+ "x_min": -8,
+ "x_max": 8,
+ "y_min": -1,
+ "y_max": 1,
+ "graph_origin": ORIGIN,
+ "x_labeled_nums": list(range(-8, 9)),
+ "y_labeled_nums": list(range(-1, 2)),
+ }
+ def construct(self):
+
+
+
+ XTD = self.x_axis_width/(self.x_max- self.x_min)
+ YTD = self.y_axis_height/(self.y_max- self.y_min)
+
+ self.setup_axes(animate = True)
+
+ sineobj = self.get_graph(lambda x : np.sin(x), x_min = -7, x_max = 8)
+ sine_lab = self.get_graph_label(sineobj, label = "\\sin(x)")
+
+
+ rangeline1 = Line(8*XTD*LEFT,1*YTD*UP+8*XTD*LEFT)
+ rangeline2 = Line(8*XTD*LEFT,1*YTD*DOWN+8*XTD*LEFT)
+ rangeline1.set_color(RED)
+ rangeline2.set_color(RED)
+
+ rangeMsg = TextMobject(r"Range: $-1 \leq y \leq 1$")
+ rangeMsg.move_to(1.1*YTD*UP+8.5*XTD*LEFT)
+ rangeMsg.scale(0.5)
+ rangeMsg.set_color(YELLOW)
+
+
+ domainline1 = Arrow(1.1*YTD*DOWN+2*XTD*LEFT, 1.1*YTD*DOWN + 8.5*XTD*LEFT)
+ domainline2 = Arrow(1.1*YTD*DOWN+2*XTD*RIGHT, 1.1*YTD*DOWN + 8.5*XTD*RIGHT)
+ domainline1.set_color(PINK)
+ domainline2.set_color(PINK)
+
+ domainMsg = TextMobject(r"Domain: $[-\infty, \infty]$")
+ domainMsg.move_to(1.1*YTD*DOWN)
+ domainMsg.scale(0.5)
+ domainMsg.set_color(GREEN)
+
+
+
+ self.play(ShowCreation(sineobj))
+ self.play(ShowCreation(sine_lab))
+ self.wait(1)
+ self.play(GrowArrow(rangeline1))
+ self.play(GrowArrow(rangeline2))
+ self.play(Write(rangeMsg))
+ self.wait(1)
+ self.play(GrowArrow(domainline1))
+ self.play(GrowArrow(domainline2))
+ self.play(Write(domainMsg))
+ self.wait(3)
+
+
+
+
+class Paraboloid(ThreeDScene):
+ def construct(self):
+
+ scalar_func_R2 = TextMobject(r"Scalar Valued Functions in $R^2$").scale(1.5).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+ self.play(Write(scalar_func_R2))
+ self.play(FadeOut(scalar_func_R2))
+ self.wait(1)
+
+ axes = ThreeDAxes()
+
+ paraboloid = ParametricSurface(
+ lambda u, v: np.array([
+ 2*np.sin(u)*np.cos(v),
+ 2*np.sin(u)*np.sin(v),
+ 2*2*np.sin(u)*np.sin(u)
+ ]),u_min=0,u_max=PI/2,v_min=0,v_max=2*PI,checkerboard_colors=[GREEN_C, GREEN_E],
+ resolution=(15, 32)).scale(1)
+
+ domain = Polygon(np.array([-5,-5,0]),np.array([5,-5,0]),np.array([5,5,0]),np.array([-5,5,0]),np.array([-5,-5,0]), color = BLUE_C, fill_color = BLUE_C, fill_opacity = 0.2)
+ domain_lab = TextMobject(r"$Domain: R^2$", color = YELLOW_C).scale(0.7).move_to(1*DOWN + 2*LEFT)
+
+ rangef = Line(np.array([0, 0,0]), np.array([0, 0,5]), color = RED_C)
+ rangef_lab = TextMobject(r"$Range: z \geq 0$", color = RED_C).scale(0.7).move_to(2*UP + 1.5*RIGHT)
+
+ func = TextMobject(r"$z = f(x,y) = x^2+y^2$").scale(0.7).move_to(3*UP + 4*LEFT).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+
+ self.set_camera_orientation(phi=60 * DEGREES, theta = 0*DEGREES)
+ self.begin_ambient_camera_rotation(rate=0.3)
+
+ self.add(axes)
+
+ axis = TextMobject(r"X",r"Y",r"Z")
+ axis[0].move_to(6*RIGHT)
+ axis[1].move_to(6*UP)
+ axis[2].move_to(np.array([0,0,3.7]))
+
+ self.add_fixed_orientation_mobjects(axis[2])
+ self.add_fixed_orientation_mobjects(axis[0])
+ self.add_fixed_orientation_mobjects(axis[1])
+
+
+
+ self.add_fixed_in_frame_mobjects(func)
+ self.play(Write(paraboloid))
+ self.play(ShowCreation(domain))
+ self.add_fixed_in_frame_mobjects(domain_lab)
+ self.wait()
+ self.play(ShowCreation(rangef))
+ self.add_fixed_in_frame_mobjects(rangef_lab)
+ self.wait(5)
+
+
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file3_parabola_example.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file3_parabola_example.py new file mode 100644 index 0000000..63c16b3 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file3_parabola_example.py @@ -0,0 +1,47 @@ +from manimlib.imports import *
+
+class Parabola(ThreeDScene):
+ def construct(self):
+ axes = ThreeDAxes() # creates a 3D Axis
+
+ paraboloid = ParametricSurface(
+ lambda u, v: np.array([
+ 2*np.cosh(u)*np.cos(v),
+ 2*np.cosh(u)*np.sin(v),
+ 2*np.sinh(u)
+ ]),v_min=0,v_max=TAU,u_min=0,u_max=2,checkerboard_colors=[YELLOW_D, YELLOW_E],#
+ resolution=(15, 32))
+
+ text3d = TextMobject(r"Plot of $f: \mathbb{R}^2 \rightarrow \mathbb{R}$", r"$z = f(x,y) = \sqrt{x^2 + y^2 - 4}$")
+ text3d[0].move_to(4*LEFT+2*DOWN)
+ text3d[1].next_to(text3d[0], DOWN)
+ text3d[0].set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+ text3d[1].set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE)
+
+ #self.set_camera_orientation(phi=0 * DEGREES,theta=270*DEGREES)
+ self.move_camera(phi=110* DEGREES,theta=45*DEGREES)
+
+ self.add(axes)
+
+ axis = TextMobject(r"X",r"Y",r"Z")
+ axis[0].move_to(6*RIGHT)
+ axis[1].move_to(6*UP)
+ axis[2].move_to(np.array([0,0,3.7]))
+
+ self.add_fixed_orientation_mobjects(axis[2])
+ self.add_fixed_orientation_mobjects(axis[0])
+ self.add_fixed_orientation_mobjects(axis[1])
+
+
+ self.play(ShowCreation(paraboloid))
+ self.add_fixed_in_frame_mobjects(text3d)
+ self.play(Write(text3d[0]))
+ self.play(Write(text3d[1]))
+ self.begin_ambient_camera_rotation(rate=0.2)
+ self.wait(3)
+ self.move_camera(phi=0 * DEGREES,theta=180*DEGREES,run_time=3)
+ self.wait(3)
+ self.move_camera(phi=110* DEGREES,theta=90*DEGREES,run_time=3)
+ self.wait(3)
+
+
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file4_level_curves.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file4_level_curves.py new file mode 100644 index 0000000..2b6f719 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file4_level_curves.py @@ -0,0 +1,118 @@ +from manimlib.imports import *
+
+class LevelCurves(ThreeDScene):
+ def construct(self):
+ axes = ThreeDAxes()
+
+ paraboloid = ParametricSurface(
+ lambda u, v: np.array([
+ u*np.cos(v),
+ u*np.sin(v),
+ -u*u+2
+ ]),u_min=-1.414,u_max=1.414,v_min=0,v_max=2*PI, color = BLUE_C, fill_color = BLUE_C, fill_opacity = 0.1,
+ resolution=(15, 32)).scale(1)
+
+ plane_0 = Polygon(np.array([2,-2,0]),np.array([2,2,0]),np.array([-2,2,0]),np.array([-2,-2,0]),np.array([2,-2,0]), color = BLUE_E, fill_color = BLUE_E, fill_opacity = 0.3)
+ plane_0_lab = TextMobject("C = 0").move_to(0.4*UP+3.2*RIGHT).set_color(BLUE_E).scale(0.6)
+ circle_0 = Circle(radius = 1.414 , color = BLUE_E)
+ circle_0_lab = TextMobject("0").move_to(1.1*DOWN+1.1*RIGHT).set_color(BLUE_E).scale(0.6)
+
+ plane_0_5 = Polygon(np.array([2,-2,0.5]),np.array([2,2,0.5]),np.array([-2,2,0.5]),np.array([-2,-2,0.5]),np.array([2,-2,0.5]), color = GREEN_C, fill_color = GREEN_C, fill_opacity = 0.3)
+ plane_0_5_lab = TextMobject("C = 0.5").move_to(0.8*UP+3.4*RIGHT).set_color(GREEN_C).scale(0.6)
+ circle_0_5 = Circle(radius = 1.224 , color = GREEN_C)
+ circle_0_5_lab = TextMobject("0.5").move_to(0.9*DOWN+0.9*RIGHT).set_color(GREEN_C).scale(0.6)
+ circle_0_5_copy = circle_0_5.copy().move_to(np.array([0,0,0.5]))
+
+ plane_1 = Polygon(np.array([2,-2,1]),np.array([2,2,1]),np.array([-2,2,1]),np.array([-2,-2,1]),np.array([2,-2,1]), color = YELLOW_C, fill_color = YELLOW_C, fill_opacity = 0.3)
+ plane_1_lab = TextMobject("C = 1").move_to(1.2*UP+3.3*RIGHT).set_color(YELLOW_C).scale(0.6)
+ circle_1 = Circle(radius = 1 , color = YELLOW_C)
+ circle_1_lab = TextMobject("1").move_to(0.7*DOWN+0.7*RIGHT).set_color(YELLOW_C).scale(0.6)
+ circle_1_copy = circle_1.copy().move_to(np.array([0,0,1]))
+
+ plane_1_5 = Polygon(np.array([2,-2,1.5]),np.array([2,2,1.5]),np.array([-2,2,1.5]),np.array([-2,-2,1.5]),np.array([2,-2,1.5]), color = ORANGE, fill_color = ORANGE, fill_opacity = 0.3)
+ plane_1_5_lab = TextMobject("C = 1.5").move_to(1.7*UP+3.4*RIGHT).set_color(ORANGE).scale(0.6)
+ circle_1_5 = Circle(radius = 0.707 , color = ORANGE)
+ circle_1_5_lab = TextMobject("1.5").move_to(0.5*DOWN+0.5*RIGHT).set_color(ORANGE).scale(0.6)
+ circle_1_5_copy = circle_1_5.copy().move_to(np.array([0,0,1.5]))
+
+ plane_2 = Polygon(np.array([2,-2,2]),np.array([2,2,2]),np.array([-2,2,2]),np.array([-2,-2,2]),np.array([2,-2,2]), color = RED_C, fill_color = RED_C, fill_opacity = 0.3)
+ plane_2_lab = TextMobject("C = 2").move_to(2.1*UP+3.3*RIGHT).set_color(RED_C).scale(0.6)
+ dot_2 = Dot().set_fill(RED_C)
+ circle_2_lab = TextMobject("2").move_to(0.2*DOWN+0.2*RIGHT).set_color(RED_C).scale(0.6)
+ dot_2_copy = dot_2.copy().move_to(np.array([0,0,2]))
+
+ level_curves_line1 = DashedLine(np.array([0,-1.414,0]),np.array([0,-2,1]), color = WHITE)
+ level_curves_line2 = DashedLine(np.array([0,-1.224,0.5]),np.array([0,-2,1]), color = WHITE)
+ level_curves_line3 = DashedLine(np.array([0,-1,1]),np.array([0,-2,1]), color = WHITE)
+ level_curves_line4 = DashedLine(np.array([0,-0.707,1.5]),np.array([0,-2,1]), color = WHITE)
+ level_curves_line5 = DashedLine(np.array([0,0,2]),np.array([0,-2,1]), color = WHITE)
+
+ level_curves = TextMobject("Level Curves").move_to(1.4*UP+3*LEFT).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE).scale(0.8)
+
+
+ contour_line1 = DashedLine(np.array([0,-1.414,0]),np.array([0,-2,1]), color = WHITE)
+ contour_line2 = DashedLine(np.array([0,-1.224,0]),np.array([0,-2,1]), color = WHITE)
+ contour_line3 = DashedLine(np.array([0,-1,0]),np.array([0,-2,1]), color = WHITE)
+ contour_line4 = DashedLine(np.array([0,-0.707,0]),np.array([0,-2,1]), color = WHITE)
+ contour_line5 = DashedLine(np.array([0,0,0]),np.array([0,-2,1]), color = WHITE)
+
+ contours = TextMobject("Contours").move_to(1.4*UP+2.7*LEFT).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE).scale(0.8)
+
+
+ topic = TextMobject("Contour Plot").move_to(3*UP+3*LEFT).set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE).scale(0.8)
+
+ self.set_camera_orientation(phi=80 * DEGREES, theta = 0*DEGREES)
+ #self.set_camera_orientation(phi=0 * DEGREES, theta = 0*DEGREES)
+
+ self.add(axes)
+
+ axis = TextMobject(r"X",r"Y",r"Z")
+ axis[0].move_to(6*RIGHT)
+ axis[1].move_to(6*UP)
+ axis[2].move_to(np.array([0,0,3.7]))
+
+ self.add_fixed_orientation_mobjects(axis[2])
+ self.add_fixed_orientation_mobjects(axis[0])
+ self.add_fixed_orientation_mobjects(axis[1])
+
+ self.play(Write(paraboloid))
+ self.wait()
+ self.play(ShowCreation(plane_0), ShowCreation(circle_0))
+ self.add_fixed_in_frame_mobjects(plane_0_lab)
+ self.wait()
+ self.play(ShowCreation(plane_0_5), ShowCreation(circle_0_5_copy), ShowCreation(circle_0_5))
+ self.add_fixed_in_frame_mobjects(plane_0_5_lab)
+ self.wait()
+ self.play(ShowCreation(plane_1), ShowCreation(circle_1_copy), ShowCreation(circle_1))
+ self.add_fixed_in_frame_mobjects(plane_1_lab)
+ self.wait()
+ self.play(ShowCreation(plane_1_5), ShowCreation(circle_1_5_copy), ShowCreation(circle_1_5))
+ self.add_fixed_in_frame_mobjects(plane_1_5_lab)
+ self.wait()
+ self.play(ShowCreation(plane_2), ShowCreation(dot_2_copy), ShowCreation(dot_2))
+ self.add_fixed_in_frame_mobjects(plane_2_lab)
+ self.wait()
+
+ self.move_camera(phi=60 * DEGREES, theta = 30*DEGREES,run_time=3)
+ self.play(FadeOut(plane_0), FadeOut(plane_0_lab), FadeOut(plane_0_5), FadeOut(plane_0_5_lab), FadeOut(plane_1), FadeOut(plane_1_lab), FadeOut(plane_1_5), FadeOut(plane_1_5_lab), FadeOut(plane_2), FadeOut(plane_2_lab))
+
+ self.play(GrowArrow(level_curves_line1), GrowArrow(level_curves_line2), GrowArrow(level_curves_line3), GrowArrow(level_curves_line4), GrowArrow(level_curves_line5))
+ self.add_fixed_in_frame_mobjects(level_curves)
+ self.wait()
+ self.play(FadeOut(level_curves_line1), FadeOut(level_curves_line2), FadeOut(level_curves_line3), FadeOut(level_curves_line4), FadeOut(level_curves_line5), FadeOut(level_curves))
+ self.play(FadeOut(circle_0_5_copy), FadeOut(circle_1_copy), FadeOut(circle_1_5_copy), FadeOut(dot_2_copy))
+ self.wait()
+
+ self.play(GrowArrow(contour_line1), GrowArrow(contour_line2), GrowArrow(contour_line3), GrowArrow(contour_line4), GrowArrow(contour_line5))
+ self.add_fixed_in_frame_mobjects(contours)
+ self.wait()
+ self.play(FadeOut(contour_line1), FadeOut(contour_line2), FadeOut(contour_line3), FadeOut(contour_line4), FadeOut(contour_line5), FadeOut(contours))
+
+
+ self.move_camera(phi=0 * DEGREES, theta = 0*DEGREES,run_time=3)
+ self.play(FadeOut(paraboloid))
+ self.wait()
+
+ self.add_fixed_in_frame_mobjects(circle_0_lab, circle_0_5_lab, circle_1_lab, circle_1_5_lab,circle_2_lab)
+ self.add_fixed_in_frame_mobjects(topic)
+ self.wait(3)
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file5_level_surface.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file5_level_surface.py new file mode 100644 index 0000000..8052676 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file5_level_surface.py @@ -0,0 +1,78 @@ +from manimlib.imports import *
+
+class LevelSurface(ThreeDScene):
+ def construct(self):
+ axes = ThreeDAxes()
+
+ surface_0 = ParametricSurface(
+ lambda u, v: np.array([
+ u*np.cos(v),
+ u*np.sin(v),
+ (u*u*np.cos(v)*np.cos(v))-(u*np.sin(v)/5)+0
+ ]),u_min=-1,u_max=1,v_min=0,v_max=2*PI,checkerboard_colors=[RED_C, RED_E],
+ resolution=(15, 32)).scale(1)
+
+ k_0 = TextMobject("K = 0", color = RED_C).scale(0.7)
+
+ surface_1 = ParametricSurface(
+ lambda u, v: np.array([
+ u*np.cos(v),
+ u*np.sin(v),
+ (u*u*np.cos(v)*np.cos(v))-(u*np.sin(v)/5)+1
+ ]),u_min=-1,u_max=1,v_min=0,v_max=2*PI,checkerboard_colors=[GREEN_C, GREEN_E],
+ resolution=(15, 32)).scale(1)
+
+ k_1 = TextMobject("K = 1", color = GREEN_C).scale(0.7)
+
+ surface_2 = ParametricSurface(
+ lambda u, v: np.array([
+ u*np.cos(v),
+ u*np.sin(v),
+ (u*u*np.cos(v)*np.cos(v))-(u*np.sin(v)/5)+2
+ ]),u_min=-1,u_max=1,v_min=0,v_max=2*PI,checkerboard_colors=[YELLOW_C, YELLOW_E],
+ resolution=(15, 32)).scale(1)
+
+ k_2 = TextMobject("K = 2", color = YELLOW_C).scale(0.7)
+
+ func = TextMobject(r"$w = g(x,y,z)$", r"$= z - f(x,y)$", r"$z-x^2+y/5 = K$")
+ func.set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+
+ self.set_camera_orientation(phi=90 * DEGREES, theta = 90*DEGREES)
+ self.begin_ambient_camera_rotation(rate=0.3)
+
+
+ self.add(axes)
+
+ axis = TextMobject(r"X",r"Y",r"Z")
+ axis[0].move_to(6*RIGHT)
+ axis[1].move_to(6*UP)
+ axis[2].move_to(3.7*UP)
+
+ self.add_fixed_in_frame_mobjects(axis[2])
+ self.add_fixed_orientation_mobjects(axis[0])
+ self.add_fixed_orientation_mobjects(axis[1])
+
+ self.play(Write(surface_0))
+ self.add_fixed_in_frame_mobjects(k_0)
+ k_0.move_to(np.array([1.4*RIGHT ]))
+
+ self.play(Write(surface_1))
+ self.add_fixed_in_frame_mobjects(k_1)
+ k_1.move_to(np.array([1.4*RIGHT + 1*UP]))
+
+ self.play(Write(surface_2))
+ self.add_fixed_in_frame_mobjects(k_2)
+ k_2.move_to(np.array([1.4*RIGHT + 2*UP]))
+ self.wait()
+
+ self.add_fixed_in_frame_mobjects(func)
+ func[0].move_to(np.array([4.5*LEFT + 3*UP]))
+ func[1].move_to(np.array([4.5*LEFT + 2.5*UP]))
+ func[2].move_to(np.array([4.5*LEFT + 2*UP]))
+
+ self.wait(3)
+ self.move_camera(phi=60 * DEGREES,run_time=3)
+ self.wait(2)
+
+
+
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file6_scalar_function_application.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file6_scalar_function_application.py new file mode 100644 index 0000000..3ccfad6 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file6_scalar_function_application.py @@ -0,0 +1,140 @@ +from manimlib.imports import *
+
+class ScalarApplication(ThreeDScene):
+ def construct(self):
+ axes = ThreeDAxes() # creates a 3D Axis
+
+ self.add(axes)
+
+ axis = TextMobject(r"X",r"Y",r"Z")
+ axis[0].move_to(6*RIGHT)
+ axis[1].move_to(6*UP)
+ axis[2].move_to(np.array([0,0,3.7]))
+
+ self.add_fixed_orientation_mobjects(axis[2])
+ self.add_fixed_orientation_mobjects(axis[0])
+ self.add_fixed_orientation_mobjects(axis[1])
+
+ cube = Cube()
+ cube.set_fill(YELLOW_C, opacity = 0.2)
+ cube.scale(2)
+ self.set_camera_orientation(phi=0 * DEGREES,theta=270*DEGREES)
+ self.play(ShowCreation(cube))
+
+ dot = Sphere()
+ dot.scale(0.1)
+ dot.move_to(np.array([1,0.5,1]))
+ dot.set_fill(RED)
+
+ #dot = Dot(np.array([1,0.5,1]), color = RED)
+ temp_func = TextMobject("T(x,y,z)")
+ temp_func.next_to(dot,RIGHT)
+ temp_func.set_color(RED)
+ temp_func_trans = TextMobject("T(1,0.5,1)")
+ temp_func_trans.next_to(dot,RIGHT)
+ temp_func_trans.set_color(RED)
+ temp = TextMobject(r"$36 ^\circ$")
+ temp.next_to(dot,RIGHT)
+ temp.set_color(RED_E)
+
+
+ self.play(ShowCreation(dot))
+ self.play(ShowCreation(temp_func))
+ self.play(Transform(temp_func, temp_func_trans))
+ self.wait(1)
+ self.play(Transform(temp_func, temp))
+
+
+
+
+ dot1 = Sphere()
+ dot1.scale(0.1)
+ dot1.move_to(np.array([-1,-0.8,-1.5]))
+ dot1.set_fill(BLUE_E)
+ #dot1 = Dot(np.array([-1,-0.8,-1.5]), color = BLUE)
+ temp_func1 = TextMobject("T(x,y,z)")
+ temp_func1.next_to(dot1,LEFT)
+ temp_func1.set_color(BLUE)
+ temp_func_trans1 = TextMobject("T(-1,-0.8,-1.5)")
+ temp_func_trans1.next_to(dot1,LEFT)
+ temp_func_trans1.set_color(BLUE)
+ temp1 = TextMobject(r"$24 ^\circ$")
+ temp1.next_to(dot1,LEFT)
+ temp1.set_color(BLUE)
+
+ self.play(ShowCreation(dot1))
+ self.play(ShowCreation(temp_func1))
+ self.play(Transform(temp_func1, temp_func_trans1))
+ self.wait(1)
+ self.play(Transform(temp_func1, temp1))
+
+ self.play(FadeOut(temp_func))
+ self.play(FadeOut(temp_func1))
+
+
+ self.move_camera(phi=80* DEGREES,theta=45*DEGREES,run_time=3)
+
+ self.begin_ambient_camera_rotation(rate=0.2)
+ self.wait(4)
+ self.stop_ambient_camera_rotation()
+ self.wait(2)
+
+
+
+
+class AddTempScale(Scene):
+ def construct(self):
+ temp_scale = ImageMobject("tempscale.png")
+ temp_scale.scale(4)
+ temp_scale.move_to(2*RIGHT)
+ self.play(ShowCreation(temp_scale))
+
+
+ temp_func = TextMobject("T(x,y,z)")
+ temp_func.move_to(3*UP +2*LEFT)
+ temp_func.set_color(RED)
+ temp_func_trans = TextMobject("T(1,0.5,1)")
+ temp_func_trans.move_to(3*UP +2*LEFT)
+ temp_func_trans.set_color(RED)
+ temp = TextMobject(r"$36 ^\circ$")
+ temp.set_color(RED)
+ temp.move_to(3*UP +2*LEFT)
+ temp.scale(0.7)
+
+ self.play(ShowCreation(temp_func))
+ self.play(Transform(temp_func, temp_func_trans))
+ self.wait(1)
+ self.play(Transform(temp_func, temp))
+ self.play(ApplyMethod(temp_func.move_to, 1.8*UP +1.8*RIGHT))
+
+
+ temp_func1 = TextMobject("T(x,y,z)")
+ temp_func1.move_to(2*UP +2*LEFT)
+ temp_func1.set_color(BLUE)
+ temp_func_trans1 = TextMobject("T(-1,-0.8,-1.5)")
+ temp_func_trans1.move_to(2*UP +2*LEFT)
+ temp_func_trans1.set_color(BLUE)
+ temp1 = TextMobject(r"$24 ^\circ$")
+ temp1.set_color(BLUE)
+ temp1.move_to(2*UP +2*LEFT)
+ temp1.scale(0.7)
+
+ self.play(ShowCreation(temp_func1))
+ self.play(Transform(temp_func1, temp_func_trans1))
+ self.wait(1)
+ self.play(Transform(temp_func1, temp1))
+ self.play(ApplyMethod(temp_func1.move_to, 0.6*UP +1.8*RIGHT))
+
+
+
+ transtext = TextMobject("Scalar Function Transform:")
+ transtext.set_color(GREEN)
+ transtext1 = TextMobject(r"$\mathbb{R}^3 \rightarrow \mathbb{R}$")
+ transtext1.set_color(YELLOW_E)
+ transtext.move_to(3*UP +3*LEFT)
+ transtext1.next_to(transtext,DOWN)
+ self.play(Write(transtext))
+ self.play(Write(transtext1))
+ self.wait(2)
+
+
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file7_neural_nets.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file7_neural_nets.py new file mode 100644 index 0000000..eb6bf45 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/file7_neural_nets.py @@ -0,0 +1,177 @@ +from manimlib.imports import *
+
+class SigmoidFunc(GraphScene):
+ CONFIG = {
+ "x_min": -4,
+ "x_max": 4,
+ "y_min": -1,
+ "y_max": 1,
+ "graph_origin": ORIGIN + 0.8*DOWN,
+ "x_labeled_nums": list(range(-4, 5)),
+ "y_labeled_nums": list(range(-1, 2)),
+ "y_axis_height": 4.5,
+ }
+ def construct(self):
+ XTD = self.x_axis_width/(self.x_max- self.x_min)
+ YTD = self.y_axis_height/(self.y_max- self.y_min)
+
+ topic = TextMobject("Sigmoid Function")
+ topic.move_to(3.2*UP)
+ topic.set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+
+ self.setup_axes(animate = True)
+ sigmoid_func = self.get_graph(lambda x : (1/(1 + np.exp(-x))), x_min = -4, x_max = 4)
+ sigmoid_lab = self.get_graph_label(sigmoid_func, label = r"\frac{1}{1 + e^{-z}}")
+
+
+
+
+ self.play(ShowCreation(sigmoid_func),Write(sigmoid_lab))
+ self.play(Write(topic))
+ self.wait(2)
+ self.play(FadeOut(sigmoid_func), FadeOut(sigmoid_lab))
+ self.wait(1)
+
+
+
+class NeuralNet(GraphScene):
+ def construct(self):
+
+ sigmoid_exp = TextMobject(r"g(z) = g($\theta^T$ X) = $\frac{1}{1 + e^{-z}}$")
+ sigmoid_exp.move_to(3*UP + 4*LEFT)
+ sigmoid_exp.scale(0.8)
+ sigmoid_exp.set_color(BLUE)
+ sigmoid_exp1 = TextMobject(r"Predict: 'y = 1'",r"When g(z) $\geq$ 0.5, z $\geq$ 0, $\theta^T$ X $\geq$ 0")
+ sigmoid_exp2 = TextMobject(r"Predict: 'y = 0'", r"When g(z) $\leq$ 0.5, z $\leq$ 0, $\theta^T$ X $\leq$ 0")
+ sigmoid_exp1.scale(0.5)
+ sigmoid_exp2.scale(0.5)
+ sigmoid_exp1.set_color(PURPLE)
+ sigmoid_exp2.set_color(PURPLE)
+
+ sigmoid_exp1[0].next_to(sigmoid_exp, 1.5*DOWN)
+ sigmoid_exp1[1].next_to(sigmoid_exp1[0], DOWN)
+ sigmoid_exp2[0].next_to(sigmoid_exp1[1], 1.5*DOWN)
+ sigmoid_exp2[1].next_to(sigmoid_exp2[0], DOWN)
+
+
+ self.play(Write(sigmoid_exp))
+ self.play(Write(sigmoid_exp1[0]), Write(sigmoid_exp1[1]))
+ self.play(Write(sigmoid_exp2[0]), Write(sigmoid_exp2[1]))
+ self.wait(2)
+
+
+ neuron1 = Circle()
+ neuron1.set_fill(YELLOW_A, opacity = 0.5)
+
+ neuron2 = Circle()
+ neuron2.set_fill(ORANGE, opacity = 0.5)
+
+ neuron3 = Circle()
+ neuron3.set_fill(GREEN_E, opacity = 0.5)
+
+ neuron1.move_to(2*UP+RIGHT)
+ neuron2.move_to(2*DOWN+RIGHT)
+ neuron3.move_to(4*RIGHT)
+
+ arrow1 = Arrow(neuron1.get_right(),neuron3.get_left(),buff=0.1)
+ arrow1.set_color(RED)
+ arrow2 = Arrow(neuron2.get_right(),neuron3.get_left(),buff=0.1)
+ arrow2.set_color(RED)
+
+ arrow3 = Arrow(neuron3.get_right(),7*RIGHT,buff=0.1)
+ arrow3.set_color(RED)
+
+
+ sign1 = TextMobject("+1")
+ sign1.move_to(2*UP+RIGHT)
+ sign1.scale(2)
+ sign2 = TextMobject(r"$x_1$")
+ sign2.move_to(2*DOWN+RIGHT)
+ sign2.scale(2)
+ sign3 = TextMobject(r"$h_{\theta}(x)$")
+ sign3.move_to(6*RIGHT+0.4*DOWN)
+ sign3.scale(0.7)
+ sign4 = TextMobject(r"$= g(10 - 20x_1)$")
+ sign4.next_to(sign3,DOWN)
+ sign4.scale(0.5)
+ sign5 = TextMobject(r"$= g(10 - 20x_1)$")
+ sign5.next_to(sign3,DOWN)
+ sign5.scale(0.5)
+ sign6 = TextMobject(r"$= g(10 - 20x_1)$")
+ sign6.next_to(sign3,DOWN)
+ sign6.scale(0.5)
+
+
+ weight1 = TextMobject("10")
+ weight1.next_to(arrow1,UP)
+ weight2 = TextMobject("-20")
+ weight2.next_to(arrow2,DOWN)
+
+ gate = TextMobject("NOT GATE")
+ gate.set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
+ gate.scale(1.5)
+ gate.move_to(3*RIGHT+3.5*UP)
+
+
+
+ truth_table = TextMobject(r"\begin{displaymath}\begin{array}{|c|c|} x & y\\ \hline 1 & 0 \\0 & 1 \\\end{array}\end{displaymath}")
+ truth_table.next_to(sigmoid_exp2[1], 3*DOWN)
+
+ values = TextMobject("1", "0")
+ values.scale(2)
+
+ sign4_trans1 = TextMobject(r"$= g(10 - 20(1))$")
+ sign4_trans2 = TextMobject(r"$= g(10 - 20(0))$")
+ sign4_trans1.next_to(sign3,DOWN)
+ sign4_trans2.next_to(sign3,DOWN)
+ sign4_trans1.scale(0.5)
+ sign4_trans2.scale(0.5)
+
+
+
+ output1 = TextMobject("y = 0")
+ output2 = TextMobject("y = 1")
+ output1.next_to(sign4,DOWN)
+ output2.next_to(sign4,DOWN)
+ output1.scale(1.5)
+ output2.scale(1.5)
+
+
+
+ self.play(ShowCreation(neuron1),ShowCreation(neuron2))
+ self.play(ShowCreation(neuron3))
+ self.play(ShowCreation(sign1),ShowCreation(sign2))
+ self.wait(1)
+
+ self.play(GrowArrow(arrow1))
+ self.play(GrowArrow(arrow2))
+ self.play(ShowCreation(weight1),ShowCreation(weight2))
+
+
+
+ self.play(GrowArrow(arrow3))
+ self.play(Write(sign3),Write(sign4))
+
+ self.play(Write(gate))
+ self.play(ShowCreation(truth_table))
+
+ self.play(ApplyMethod(values[0].move_to, 2*DOWN+RIGHT))
+ self.play(FadeOut(values[0]))
+ self.play(Transform(sign4,sign4_trans1))
+ self.play(Write(output1))
+ self.wait(1)
+ self.play(FadeOut(output1))
+ self.play(Transform(sign4, sign5))
+
+
+ self.play(ApplyMethod(values[1].move_to, 2*DOWN+RIGHT))
+ self.play(FadeOut(values[1]))
+ self.play(Transform(sign4,sign4_trans2))
+ self.play(Write(output2))
+ self.wait(1)
+ self.play(FadeOut(output2))
+ self.play(Transform(sign4, sign6))
+
+ self.wait(2)
+
+
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file1_scalar_functions.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file1_scalar_functions.gif Binary files differnew file mode 100644 index 0000000..bea9c7b --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file1_scalar_functions.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file2_domain_range.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file2_domain_range.gif Binary files differnew file mode 100644 index 0000000..6801e4f --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file2_domain_range.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file3_parabola_example.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file3_parabola_example.gif Binary files differnew file mode 100644 index 0000000..9576b4a --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file3_parabola_example.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file4_level_curves.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file4_level_curves.gif Binary files differnew file mode 100644 index 0000000..b4ac106 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file4_level_curves.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file5_level_surface.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file5_level_surface.gif Binary files differnew file mode 100644 index 0000000..e4dc80d --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file5_level_surface.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file6_scalar_function_application.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file6_scalar_function_application.gif Binary files differnew file mode 100644 index 0000000..8bb176a --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file6_scalar_function_application.gif diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file7_neural_nets.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file7_neural_nets.gif Binary files differnew file mode 100644 index 0000000..a22f1b8 --- /dev/null +++ b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/scalar-functions/gifs/file7_neural_nets.gif |
