Chap 1: Mathematical Preliminaries and Error Analysis

1.2: Rounding errors and Computer Arithmeric
1.3: Algorithms and Convergence
	

Chap 2: Solutions of Equations in One Variable   (print)
2.1: Bisection
2.2: Fixed Point Iteration
2.3: Newton's method
2.4: Error Analysis for Iterative methods
2.5: Accelratting convergence
2.6: Muller's methpod

Chap 3: Interpolation and polynomial approximation
3.1: Interpolation and Lagrangian polynomial
3.2:  devided difference
3.3: Hermite Interpolaiton
3.4: Cubic Spline Interpolatopn

Chap 4: Numerical differentiation and integration
4.1: Numerical Differentiation
4.2: Richardson extrapolatopn
4.3: elements of Numerical Integratopn
4.4: Conposite numerical integration

Chap 5: Initial-Value Problems for Ordinary Differential Equations  (print)

 
	

Chap 6: Direct Methods for Solving Linear Systems  (print)
6.1: Linear system of equations
6.2: Pivoting Stragegies
6.5: Matrix factorization
6.6: Specauial types of Matrices.
	

Chap 7: Iterative Techniques in Matrix Algebra (print)
7.3: Iterative Techniques for solving Linear Systems.
7.4: Error bounds and Iterative Refinement
7.5: The Conjugate Gradient Method.

Chap 10: Numerical Solutions of Nonlinear Systems of Equations (print)
10.1: Fixed Points for Functions of Several Variables.
10.2: Newton's Method
10.3: Quasi-Newton Methods
10.4: Steepest Descent Technieques