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Numerical Mathematics 1 Unit 2 Summary 2019
Summary of Unit 2 for Numerical Mathematics 1 2019 We summarize chapter 2.6:Fixed point iterations, 2.3: The Newton method, 2.5: Systems of nonlinear equations, 5.9: Iterative methods, 5.10: Richardson and gradient methods and 5.12: When should an iterative method be stopped?
- Book
- Summary
- • 3 pages •
Summary of Unit 2 for Numerical Mathematics 1 2019 We summarize chapter 2.6:Fixed point iterations, 2.3: The Newton method, 2.5: Systems of nonlinear equations, 5.9: Iterative methods, 5.10: Richardson and gradient methods and 5.12: When should an iterative method be stopped?
Numerical Mathematics 1 Unit 2 Summary 2019
We summarize chapter 2.6:Fixed point iterations, 2.3:TheNewton method, 2.5:Systems of nonlinear equations, 5.9:Iterative methods, 5.10:Richardson and gradient methodsand 5.12:When should an iterative method be stopped?
- Book
- Summary
- • 3 pages •
We summarize chapter 2.6:Fixed point iterations, 2.3:TheNewton method, 2.5:Systems of nonlinear equations, 5.9:Iterative methods, 5.10:Richardson and gradient methodsand 5.12:When should an iterative method be stopped?
Summary Unit 1
We summarize chapter 3.3.1: Lagrangian polynomial interpolation, 3.3.2: Stability of polynomial interpolation, 3.4: Piecewise linear interpolation , 4.3.2: Trapezoidal formula and 4.3.3: Simpson formula. Book: Scientific Computing with MATLAB and Octave
- Book
- Summary
- • 2 pages •
We summarize chapter 3.3.1: Lagrangian polynomial interpolation, 3.3.2: Stability of polynomial interpolation, 3.4: Piecewise linear interpolation , 4.3.2: Trapezoidal formula and 4.3.3: Simpson formula. Book: Scientific Computing with MATLAB and Octave