Chapter 1

Solution of Nonlinear Equations

Errors in numerical calculations; Sources and propagation of errors; Taylor's theorem; Solving nonlinear equations using trial-and-error, half-interval, Newton, fixed point iteration methods.

Chapter 2

Interpolation and Regression

Interpolation vs extrapolation; Lagrange interpolation; Newton interpolation—divided, forward and backward differences; Cubic spline; Polynomial regression.

Chapter 3

Numerical Differentiation and Integration

Differentiating continuous and tabulated functions; Newton’s difference-based differentiation; Max/min from tables; Numerical integration methods.

Chapter 4

Solving System of Linear Equations

Gaussian elimination; Pivoting; Gauss–Jordan method; Matrix inverse using Gauss–Jordan; LU decomposition.

Chapter 5

Solution of Ordinary Differential Equations

Initial value problems; Taylor series method; Picard’s method; Euler method and improvements; Runge–Kutta methods.

Chapter 6

Solution of Partial Differential Equations

Classification of PDEs; Difference equations; Laplace and Poisson equations; Engineering applications.