SSCE2393
NUMERICAL
METHODS
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LEARNING RESOURCES
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METHODS OF TEACHING
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ASSESSMENT
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Partial Differential Equation (PDE)
Elliptic, Parabolic, and
Hyperbolic equations
Non-linear equation
Bisection, Simple Iterative,
Newton Raphson methods
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Linear System
Gauss elimination,Doolittle,
Cholesky, Thomas Algorithm,
Jacobi and Gauss Seidel
methods
Interpolation
Lagrange, Newton’s divided
difference Newton’s forward
methods
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2
Contents
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3
Curve Fitting
Least square curve fitting –
linear, quadratic and
linearization of special function
4
5
Ordinary Differential Equation (ODE)
IVP – 1st order differential equation
solved by Euler, Taylor’s series, RK
methods
BVP – 2nd order differential equation
Eigenvalue & Eigenvector
Power method, shifted power
method
Numerical Differentiation & Numerical Integration
Differentiation – forward, backward and
central formula
Integration – trapezoidal, simpsons rule,
Gaussian quadrature
8
PADLET SESSION : INTRODUCTION
9
THANK YOU
In the Name of God for Mankind
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