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 
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 for Mechanical Engineers
This note introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation, integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches.
Author(s): Prof. Anthony T. Patera, Prof. Daniel Frey and Prof. Nicholas Hadjiconstantinou
NA Pages
Introduction to Numerical Computation
This note explains the following topics: Computer arithmetic, Polynomial interpolation, Splines, Numerical integration, Numerical solution of nonlinear equations, Direct methods for linear systems, Iterative solvers for linear systems, Least Squares, ODEs.
Author(s): Wen Shen
102 Pages
This manual describes the floating-point environment supported by software and hardware on SPARCTM and x86 platforms running the Solaris operating system.
Author(s): Sun microsystems
NA Pages
