Useful Links
Mathematics
Numerical Methods
1. Introduction to Numerical Methods
2. Foundational Concepts in Numerical Computation
3. Root Finding Methods
4. Linear Systems of Equations
5. Interpolation and Approximation
6. Curve Fitting and Least Squares
7. Numerical Differentiation
8. Numerical Integration
9. Ordinary Differential Equations
10. Partial Differential Equations
11. Optimization Methods
12. Eigenvalue Problems
Interpolation and Approximation
Interpolation Problem
Problem Definition
Existence and Uniqueness
Polynomial Interpolation
Vandermonde Matrix Approach
Matrix Construction
Numerical Stability
Computational Complexity
Lagrange Interpolation
Lagrange Basis Functions
Formula Derivation
Computational Considerations
Newton Interpolation
Divided Differences
Newton's Formula
Recursive Construction
Computational Advantages
Polynomial Evaluation
Horner's Method
Nested Multiplication
Efficiency Analysis
Interpolation Error Analysis
Error Formula
Error Bounds
Runge's Phenomenon
High-Degree Polynomials
Oscillatory Behavior
Remedies
Piecewise Interpolation
Piecewise Linear Interpolation
Construction
Continuity Properties
Error Analysis
Spline Interpolation
Cubic Splines
Continuity Conditions
Smoothness Requirements
Tridiagonal System
Boundary Conditions
Natural Splines
Clamped Splines
Not-a-Knot Splines
B-Splines
Basis Functions
Local Support
Computational Advantages
Previous
4. Linear Systems of Equations
Go to top
Next
6. Curve Fitting and Least Squares