Notes

Here are all the notes from each topic in the class. You can also acesss the same links on the sidebar.

• Python
• Errors and Complexity
• Floating Point Representation
• Rounding
• Taylor Series
• Random Number Generators and Monte Carlo Method
• Vectors, Matrices, and Norms
• LU Decomposition for Solving Linear Equations
• Sparse Matrices
• Condition Numbers
• Eigenvalues and Eigenvectors
• Markov chains
• Finite Difference Methods
• Solving Nonlinear Equations
• Optimization
• Least Squares Fitting
• Singular Value Decomposition (SVD)
• Principal Component Analysis (PCA)