• Урок 1. 00:04:51
    Introduction
  • Урок 2. 00:05:42
    Introduction and Simple Iterations Method
  • Урок 3. 00:26:26
    Simple Iterations Method: Code I (for Loop)
  • Урок 4. 00:14:23
    Simple Iterations Method: Code II (while Loop)
  • Урок 5. 00:05:55
    Convergence vs Divergence
  • Урок 6. 00:15:29
    Newton-Raphson Method
  • Урок 7. 00:11:46
    Bisection Method: Algorithm
  • Урок 8. 00:17:30
    Bisection Method: Code
  • Урок 9. 00:11:03
    User-Defined Functions & Run-Time Input
  • Урок 10. 00:10:47
    Root Finding in SciPy & Summary
  • Урок 11. 00:15:27
    Introduction and Linear Interpolation Method
  • Урок 12. 00:07:32
    Lagrange's Method: Algorithm
  • Урок 13. 00:17:34
    Lagrange's Method: Code
  • Урок 14. 00:10:59
    Newton's Method: Algorithm
  • Урок 15. 00:16:07
    Newton's Method: Code
  • Урок 16. 00:04:10
    Linear Regression: Algorithm
  • Урок 17. 00:08:18
    Linear Regression: Code I (for Loop)
  • Урок 18. 00:08:29
    Linear Regression: Code II (NumPy Arrays)
  • Урок 19. 00:04:44
    Polynomial Fit: Algorithm
  • Урок 20. 00:24:01
    Polynomial Fit: Code
  • Урок 21. 00:08:59
    Interpolation Functions of SciPy
  • Урок 22. 00:14:54
    Curve Fitting Functions of SciPy & Summary
  • Урок 23. 00:12:06
    Introduction and Finite Differences Method
  • Урок 24. 00:11:31
    Finite Differences Method: Code I
  • Урок 25. 00:11:27
    Finite Differences Method: Code II
  • Урок 26. 00:17:41
    Plotting Derivative Curves
  • Урок 27. 00:10:01
    Numerical Differentiation Function in SciPy & Summary
  • Урок 28. 00:07:39
    Introduction & Trapezoidal Rule: Algorithm
  • Урок 29. 00:11:59
    Trapezoidal Rule: Code
  • Урок 30. 00:07:23
    Simpson's 1/3 Rule: Algorithm
  • Урок 31. 00:08:18
    Simpson's 1/3 Rule: Code
  • Урок 32. 00:05:28
    Simpson's 3/8 Rule: Algorithm
  • Урок 33. 00:09:42
    Simpson's 3/8 Rule: Code
  • Урок 34. 00:07:55
    Double Integration: Algorithm
  • Урок 35. 00:16:02
    Double Integration: Code
  • Урок 36. 00:14:21
    Quadrature in SciPy & Summary
  • Урок 37. 00:26:02
    Introduction & Gauss Elimination Method: Algorithm
  • Урок 38. 00:21:10
    Gauss Elimination Method: Code I (Elimination)
  • Урок 39. 00:21:41
    Gauss Elimination Method: Code II (Back-Substitution)
  • Урок 40. 00:16:39
    Gauss Elimination Method: Code III (Modifications)
  • Урок 41. 00:07:15
    Jacobi's Method: Algorithm
  • Урок 42. 00:32:08
    Jacobi's Method: Code
  • Урок 43. 00:10:49
    Gauss-Seidel's Method
  • Урок 44. 00:05:07
    Diagonal Dominance
  • Урок 45. 00:08:37
    Linear System Solution in NumPy and SciPy & Summary
  • Урок 46. 00:16:23
    Introduction & Euler's Method
  • Урок 47. 00:08:23
    Second Order Runge-Kutta's Method
  • Урок 48. 00:08:38
    Fourth Order Runge-Kutta's Method
  • Урок 49. 00:15:58
    Fourth Order Runge-Kutta's Method: Plot Numerical and Exact Solutions
  • Урок 50. 00:08:28
    Higher-Order ODE's: Algorithm
  • Урок 51. 00:22:53
    Higher-Order ODE's: Code
  • Урок 52. 00:20:13
    Higher-Order ODE's: Plotting Solutions
  • Урок 53. 00:16:48
    ODE Solution in SciPy & Summary
Этот материал находится в платной подписке. Оформи премиум подписку и смотри Programming Numerical Methods in Python, а также все другие курсы, прямо сейчас!
Премиум