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Chaos & FractalsAll functions are free

Chaos & Fractals

Explore parameters and structure from Lorenz attractors to Mandelbrot sets.

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Lorenz uses adaptive integration; Mandelbrot uses finite iteration escape time. Long-term chaotic trajectories cannot be accurately predicted.

Chaos & Fractals: uses and methods

Explore parameters and structure from Lorenz attractors to Mandelbrot sets.

Applicable scope and calculation boundary

Lorenz uses adaptive integration; Mandelbrot uses finite iteration escape time. Long-term chaotic trajectories cannot be accurately predicted.

model and reference method

Lorenz (1963); complex quadratic iteration z←z²+c.

model version: 1.0.0. The results are used for scientific research, exploration and teaching, please interpret according to the model conditions.

input parameters

object
Lorenz attractor / Mandelbrot Fractal
σ
Value range: 0.1 – 50
ρ
Value range: 0.1 – 100
β
Value range: 0.1 – 20
Points duration
Value range: 1 – 100

How to use

  1. Load the example or enter data that matches the field description.
  2. Confirm units and models, run calculations and check diagnostics.
  3. Export charts, tables or results packages and record model versions.

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FROM SCIENCE TO PRACTICE

commercial application case

Industry Application · Independent Reproduction Example

nonlinear system parameter sensitivity analysis

system development team uses Lorenz and other models to train its understanding of nonlinear sensitivity.

Public industry reference: MathWorks · Dynamical Systems

MATLAB document provides numerical solutions to ordinary differential equations.

View product or organization original information

on this site

  1. Setting parameters and initial values
  2. integral trajectory
  3. Compare short-term and long-term differences

Deliverables

trajectory diagram and state sequence for model discussion

needs to be checked before landing

Teaching attractors cannot directly serve as real weather or equipment predictors。

case is compiled for public industry purposes, and the reproduction steps are independent examples of this site; it does not mean that the above-mentioned institutions use or endorse this site, nor does it cite customer benefits that have not been publicly verified. The

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recommended by universities and research institutions

Mathematics

The following is the recommended reading order of this website organized by direction relevance, public research resources and learning portals. The number is the serial number recommended by the editor, not QS, THE or paper measurement ranking; it does not represent the overall strength of the institution.

  1. 01

    MIT · Department of Mathematics

    United States The

    Applied Mathematics, Dynamic Systems, Geometry and Numerical Analysis。

    official website link accessibility check: 2026-10-03
  2. 02

    University of Oxford · Mathematical Institute

    United Kingdom

    Partial differential equations, mathematical modeling and geometry。

    official website link accessibility check: 2026-10-03
  3. 03

    Inria

    France

    Scientific Computing, Numerical Simulation and Computational Mathematics。

    official website entrance; please refer to the current public page of the institution.

catalog compiled on 2026-10-03. Link accessibility does not equate to verification of the latest papers, admissions, or program status; please check the institution's official website for specific research teams and opportunities.

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