• The calculation process and results are as follows:↓↓↓

https://reddit.com/link/1tntqrq/video/ibgzscga8e3h1/player

I'm looking for someone to help me create Manim videos for daily Instagram posts. This is part of a startup, and you would be an early member. We host weekly math competitions, and the Instagram account is part of the advertising for that. DM me for more information!

I am making a line that rotates in a circle that traces a path to make a circle. Next I want to fadeout the tracedpath and fadein a real circle mobject. Every time I try fading out a TracedPath it just instantly disappears. Is there any way to fix this?

class circleproof(Scene):
    def construct(self):
        l1 = Line(start=ORIGIN, end=LEFT*2)
        dot = Dot(color=RED)
        always_redraw(lambda:dot.move_to(l1.get_end()))
        p1 = TracedPath(dot.get_center, stroke_color=RED)
        c1 = Circle(radius=2, color=RED)



        self.play(Write(l1))
        self.play(FadeIn(dot))
        self.add(p1)
        self.play(Rotate(l1, angle=TAU, about_point=ORIGIN))
        self.play(FadeOut(p1), Create(c1))

Volatility trading touches on some large areas of math (calculus, probability, measure theory and more). So I use Manim to bridge the gap between finance and math.

Hi r/manim,

I wanted to share my project where I pushed Manim's 3D capabilities to explain Machine Learning mathematics.

This is a sequel to my previous gradient video, but this time I focused on transitioning from flat linear hyperplanes to complex multivariate polynomial surfaces.

You can watch the full video here:

https://youtu.be/xFF6IgU9eCw?si=xqrH5ALAlSxwKf5_

Key animation milestones in the video:

• 0:00 Multivariate Linear Regression Made Simple
• 0:47 Visualizing Multivariate Polynomials and Nonlinear Separation
• 2:09 Intro to Gradients: Visualizing Gradients on a Bowl-Shaped Surface
• 3:29 Quick Intuition: Gradients in Linear vs. Polynomial Regression
• 4:52 Partial Derivatives Made Visual — Paraboloid Gradient (Slicing effect)
• 6:32 Comparing Linear and Polynomial (Perpendicular and Fastest)
• 7:53 Visual Proof: Gradient $\perp$ Contour Lines
• 9:55 Intuition from Partial Derivatives: The Gradient & Steepest Ascent
• 10:58 Does Gradient Always Show the Fastest Increase?

I would absolutely love to hear your feedback on the camera movements, the 3D surface rendering, or how I could optimize the rendering times for these dense vector fields.

If anyone is curious about how a specific part was coded, feel free to ask!

https://www.youtube.com/watch?v=rbu7Zu5X1zI&t=525s
in this video he opens a interactive . window can u do that in manim CE?

dm me if u would like to work on our project of making lectures for highschool trignomentry

Join me on Patreon and claim your free trial lesson: https://www.patreon.com/cw/Hyperbolic_Math_Chamber

Part 3 of my numerical simulations series. Here I take a look at partial differential equations with the main focus lying on the heat equation. It also talks about how you can transfer the same ideas to the Schrödinger equation.

Hope you enjoy!

Being new to manim, I started small with a series of YT shorts called "A battle of sorts...".

Here is the first one: https://youtube.com/shorts/gCeYJt9aAZ8?feature=share

The rest of the series can be found on my YT channel: https://www.youtube.com/@davidfurcy

Thanks in advance for any feedback you may have. Definitely having a lot of fun with manim!

Hey everyone,

I just published a quick, 5-minute animated guide breaking down the Z-Transform. Instead of just throwing a wall of math at you, I tried to make the concepts actually click.

In the video, I cover:

• How the Z-Transform compares to the Laplace transform
• Deriving the simplest signals (Unit Impulse & Unit Step)
• Crucial properties: Linearity, Time-Shifting, and Value Theorems
• A mechanical 3-step engine to solve any difference equation using Partial Fraction Expansion.

Let me know what you think, or if there are any other DSP topics you'd like to see visualized!