Engineering Math - Differential Equations and Dynamical Systems

Engineering Math - Differential Equations and Dynamical Systems

Steve Brunton via YouTube Direct link

What is a "Linear" Differential Equation?

21 of 49

21 of 49

What is a "Linear" Differential Equation?

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Engineering Math - Differential Equations and Dynamical Systems

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  1. 1 Differential Equations and Dynamical Systems: Overview
  2. 2 Calculus Review: The Derivative (and the Power Law and Chain Rule)
  3. 3 Gentle Introduction to Modeling with Matrices and Vectors: A Probabilistic Weather Model
  4. 4 The Simplest Ordinary Differential Equation (ODE) and Its Exponential Solution
  5. 5 Solving Differential Equations with Power Series: A Simple Example
  6. 6 Taylor Series and Power Series Made Easy (with Pictures): Review of Calculus
  7. 7 Taylor Series of the Exponential Function and Euler's Formula!
  8. 8 Second-Order Ordinary Differential Equations: Solving the Harmonic Oscillator Four Ways
  9. 9 Example Second-Order ODE: Spring-Mass-Damper
  10. 10 More Examples of Second Order Differential Equations
  11. 11 High-Order Ordinary Differential Equations with More Derivatives (from Physics)
  12. 12 Solving General High-Order, Linear Ordinary Differential Equations (ODEs)
  13. 13 Matrix Systems of Differential Equations
  14. 14 Motivating Eigenvalues and Eigenvectors with Differential Equations
  15. 15 Eigenvalues and Eigenvectors
  16. 16 Solving Systems of Differential Equations with Eigenvalues and Eigenvectors
  17. 17 2x2 Systems of ODEs: Sources and Sinks
  18. 18 2x2 Systems of ODEs: Saddle Points and Instability
  19. 19 2x2 Systems of ODEs: Imaginary Eigenvalues and Center Fixed Points
  20. 20 Stability and Eigenvalues: What does it mean to be a "stable" eigenvalue?
  21. 21 What is a "Linear" Differential Equation?
  22. 22 Linearizing Nonlinear Differential Equations Near a Fixed Point
  23. 23 A Particle in a Potential Well: Nonlinear Dynamics
  24. 24 Drawing Phase Portraits for Nonlinear Systems
  25. 25 Phase Portrait for Double Well Potential
  26. 26 The Hartman-Grobman Theorem, Structural Stability of Linearization, and Stable/Unstable Manifolds
  27. 27 Non-Normal Linear Systems and Transient Energy Growth: Bypass Transition to Turbulence
  28. 28 Repeated Eigenvalues and Secular Terms: Transient Growth in Non-Normal Systems
  29. 29 Systems of Differential Equations: Diagonalization and Jordan Canonical Form
  30. 30 Differential Equations with Forcing: Method of Undetermined Coefficients
  31. 31 Differential Equations with Forcing: Method of Variation of Parameters
  32. 32 Systems of Differential Equations with Forcing: Example in Control Theory
  33. 33 Linear Systems of Differential Equations with Forcing: Convolution and the Dirac Delta Function
  34. 34 Forced Systems of Differential Equations in Matlab and Python
  35. 35 Numerical Differentiation with Finite Difference Derivatives
  36. 36 Numerical Differentiation: Second Derivatives and Differentiating Data
  37. 37 Why we can't take "dt" to 0 in a computer: Sources of error in numerical differentiation
  38. 38 Numerical Integration: Discrete Riemann Integrals and Trapezoid Rule
  39. 39 Numerical Simulation of Ordinary Differential Equations: Integrating ODEs
  40. 40 Deriving Forward Euler and Backward/Implicit Euler Integration Schemes for Differential Equations
  41. 41 Numerical Integration of ODEs with Forward Euler and Backward Euler in Python and Matlab
  42. 42 Error Analysis of Euler Integration Scheme for Differential Equations Using Taylor Series
  43. 43 Stability of Forward Euler and Backward Euler Integration Schemes for Differential Equations
  44. 44 Runge-Kutta Integrator Overview: All Purpose Numerical Integration of Differential Equations
  45. 45 Coding a Fourth-Order Runge-Kutta Integrator in Python and Matlab
  46. 46 Numerical Integration of Chaotic Dynamics: Uncertainty Propagation & Vectorized Integration
  47. 47 Chaotic Dynamical Systems
  48. 48 Engineering Math Pre-Req: Quick and Dirty Introduction to Python
  49. 49 Engineering Math Pre-Req: Quick and Dirty Introduction to Matlab

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