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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
Eigenvalue Problems
Problem Formulation
Standard Eigenvalue Problem
Generalized Eigenvalue Problem
Properties of Eigenvalues
Power Method
Basic Power Method
Algorithm
Convergence Analysis
Dominant Eigenvalue
Inverse Power Method
Smallest Eigenvalue
Shifted Inverse Iteration
Convergence Acceleration
Deflation Techniques
Hotelling's Deflation
Wielandt's Deflation
QR Algorithm
QR Decomposition
Gram-Schmidt Process
Householder Reflections
Givens Rotations
Basic QR Algorithm
Iteration Process
Convergence Properties
Practical QR Algorithm
Hessenberg Form
Implicit Shifts
Deflation Strategies
Jacobi Method
Symmetric Matrices
Jacobi Rotations
Convergence Theory
Implementation Details
Lanczos Method
Krylov Subspaces
Tridiagonalization
Large Sparse Matrices
Reorthogonalization
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11. Optimization Methods
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1. Introduction to Numerical Methods