Applied Numerical Computing
This note explains the following topics, Numerical linear algebra, nonlinear optimization, nonlinear least squares, introduction to floating point numbers and rounding error, examples from signal and image processing, control, machine learning.
Author(s): Prof. L. Vandenberghe
NA Pages 
Numerical Computation by Peter Bastian
This PDF covers the following topics related to Numerical Computation, Modeling Immiscible Fluid Flow in Porous Media, Basic Properties of Multiphase Flow Equations, Fully Implicit Finite Volume Discretization, Solution of Algebraic Equations, Parallelization, UG, A Framework for Unstructured Grid Computations, Numerical Results.
Author(s): Peter Bastian
236 Pages
Numerical Methods for Computational Science and Engineering
The resource described here is an overview of numerical methods important in the study of computational science and engineering. The text starts off with Computing with Matrices and Vectors, foundational elements in many algorithms. The note moves forward and explains Direct Methods for Linear Systems of Equations and Direct Methods for Linear Least Squares Problems, important problemsolving aspects in linear algebra. The Filtering Algorithms for data processing are reviewed, while Data Interpolation and Data Fitting in 1D discuss ways of approximating onedimensional data. Approximation of Functions in 1D and Numerical Quadrature introduce the techniques on function approximation and integration. It also discusses Iterative Methods for NonLinear Systems of Equations and Eigenvaluesa critical topic needed for solving complex systems. It finally includes Numerical Integration and Structure Preserving Integration, fundamental to perform numerical calculations with appropriate accuracy in scientific computing.
Author(s): Prof. R. Hiptmair
839 Pages
