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Assignments

Contents:

• Assignment Instructions
  • TL;DR
  • Stage 1
  • Stage 2
  • Notes
• Assignment 0: Introduction
  • Assignment Preparation
    • Series
    • Integrals
    • Roots
  • More Details
    • Floating Point Numbers
• Assignment 1: Monty Hall etc.
  • Assignment Preparation
    • Evaluating Functions
    • Differentiation
  • More Details
    • Roundoff vs Truncation Error
• Assignment 2: IVPs and ODEs
  • Example: ABM Predictor-Corrector method
    • Testing
• Assignment 4: Chaos and Lyapunov Exponents
• Assignment 5: Modeling Data
  • Scenario
  • Model: Periodic Signals
  • Obtaining Fits
    • curve_fit
    • least_squares
    • minimize
  • Changing Variables
  • Principal Component Analysis (PCA)
  • Correlated Errors and the Covariance Matrix
  • Confidence Region
  • Extensions
  • References

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Assignment 0: Introduction