This
book covers the following topics: Solution of Linear Algebraic Equations,
Interpolation and Extrapolation, Evaluation of Functions, Special Functions,
Random Numbers, Sorting, Root Finding and Nonlinear Sets of Equations,
Minimization or Maximization of Functions, Eigensystems, Fourier and Spectral
Applications, Statistical Description of Data, Integral Equations and Inverse
Theory.
Numerical Topics in Fluid
Dynamics Computation!!! Peter Bastian Authored - This PDF covers advanced
numerical computation topics but puts more emphasis on the solution of
computational fluid dynamics. The book starts with the modeling of immiscible
fluid flow in a composite porous medium, thus laying down the basics for the
equations of multiphase fluid flow. It then provides fully implicit methods that
have been used to find the finite volume discretization of systems for complex
algebraic equations. Two important chapters are the parallelization methods that
result in higher productivity of computation and the UG framework used for
carrying out grid computations. Numerical results are then presented, which
allow deriving some conclusions concerning practical applications and
performance. The document will be particularly useful to researchers and
engineers studying computational fluid dynamics and related numerical modeling
problems.
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
problem-solving 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 Non-Linear Systems of
Equations and Eigenvalues-a 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.
This book is a technical
reference to the floating-point environment supported on SPARCTM and x86
platforms running under the Solaris operating system. The book describes the
Floating-Point Environment, the representation and computation of floating point
numbers and how the results of arithmetic operations are rounded. The Software
and Hardware Support section describes how numerical operations are passed
between the hardware and software of the system. The book should be
indispensable to anyone seeking an understanding of how numerical computations
are executed and optimized on Solaris systems. In particular, it will be an
asset worth having in real life for developers and engineers working in the
field of numerical algorithms within this particular environment of computing
and offers a deep view into performance and accuracy considerations.
This
lecture series provides comprehensive foundational knowledge in the field of
numerical computational analysis. Numerical Linear Algebra covers basic matrix
operations and solutions of linear systems. The book further goes into the
Solution of Nonlinear Equations that shows methods for solving equations which
are not linear in form. Finally, it discusses Approximation Theory, showing how
functions and data may be approximated. The lectures also cover Numerical
Solution of ODEs and PDEs, giving ways to solve these two basic kinds of
equations. This resource is intended for students and professionals looking to
gain a solid understanding of basic and applied numerical analysis techniques.