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  • Course Content
  • Week Topics Study Metarials
    1 Initial value problems, difference equations R1) Lecture notes
    2 Stability analysis, convergence analysis R1) Lecture notes
    3 One-step methods: Taylor series expansion methods, convergence analysis, first and second order Runge-Kutta methods R1) Lecture notes
    4 Third and fourth order Runge-Kutta methods, higher order Runge-Kutta methods, convergence and truncation error approach R1) Lecture notes
    5 Extrapolation method: Euler extrapolation, stability analysis R1) Lecture notes
    6 Implicit Runge-Kutta Methods, Obrechkoff methods R1) Lecture notes
    7 Solutions of system of ordinary differential equations, Euler and Runge-Kutta methods, stability analysis, stiff systems R1) Lecture notes
    8 Adaptive methods, Runge-Kutta-Treanor method, Liniger-Willoughby adaptation, Nystrom-Trenor adaptation R1) Lecture notes
    9 Multi-step methods: Explicit multi-step methods, Adams-Bashford formulas, Nystrom formulas, Implicit multi-step methods, Adams-Moulton formulas, Milne-Simpson formulas R1) Lecture notes
    10 General linear multi-step methods, truncation error approach, stability and convergence, extended error approaches R1) Lecture notes
    11 Predictor-corrector methods, implicit multi-step methods, (P(CE)^m)E method, Adams predictor-corrector method, modified methods R1) Lecture notes
    12 Hybrid methods: one-step hybrid methods, two-step hybrid methods R1) Lecture notes
    13 Higher order differential equations, hybrid methods, Obrachkoff methods, adaptive methods, Nonregular step methods: Adams-Bashforth methods, Adams-Moulton methods R1) Lecture notes
    14 Numerical methods for boundary value problems: Shooting method, difference equations, convergence R1) Lecture notes
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