Numerical Analysis And Scientific Computation
Download Numerical Analysis And Scientific Computation full books in PDF, epub, and Kindle. Read online free Numerical Analysis And Scientific Computation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Jeffery J. Leader |
| Publisher | : Addison-Wesley Longman |
| Total Pages | : 0 |
| Release | : 2004 |
| Genre | : Numerical analysis |
| ISBN | : 9780201734997 |
This text is intended for a first course in Numerical Analysis taken by students majoring in mathematics, engineering, computer science, and the sciences. This text emphasizes the mathematical ideas behind the methods and the idea of mixing methods for robustness. The optional use of MATLAB is incorporated throughout the text.
| Author | : Peter Deuflhard |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 0387215840 |
This book introduces the main topics of modern numerical analysis: sequence of linear equations, error analysis, least squares, nonlinear systems, symmetric eigenvalue problems, three-term recursions, interpolation and approximation, large systems and numerical integrations. The presentation draws on geometrical intuition wherever appropriate and is supported by a large number of illustrations, exercises, and examples.
| Author | : Germund Dahlquist |
| Publisher | : SIAM |
| Total Pages | : 741 |
| Release | : 2008-09-04 |
| Genre | : Mathematics |
| ISBN | : 0898716446 |
This work addresses the increasingly important role of numerical methods in science and engineering. It combines traditional and well-developed topics with other material such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions.
| Author | : David Ronald Kincaid |
| Publisher | : American Mathematical Soc. |
| Total Pages | : 810 |
| Release | : 2009 |
| Genre | : Mathematics |
| ISBN | : 0821847880 |
This book introduces students with diverse backgrounds to various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with appropriate motivations and careful proofs. In an engaging and informal style, the authors demonstrate that many computational procedures and intriguing questions of computer science arise from theorems and proofs. Algorithms are presented in pseudocode, so that students can immediately write computer programs in standard languages or use interactive mathematical software packages. This book occasionally touches upon more advanced topics that are not usually contained in standard textbooks at this level.
| Author | : Michael T. Heath |
| Publisher | : SIAM |
| Total Pages | : 567 |
| Release | : 2018-11-14 |
| Genre | : Science |
| ISBN | : 1611975573 |
This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
| Author | : James P Howard, II |
| Publisher | : CRC Press |
| Total Pages | : 257 |
| Release | : 2017-07-12 |
| Genre | : Mathematics |
| ISBN | : 1498723640 |
Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
| Author | : Bertil Gustafsson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 317 |
| Release | : 2011-06-11 |
| Genre | : Mathematics |
| ISBN | : 3642194958 |
The book of nature is written in the language of mathematics -- Galileo Galilei How is it possible to predict weather patterns for tomorrow, with access solely to today’s weather data? And how is it possible to predict the aerodynamic behavior of an aircraft that has yet to be built? The answer is computer simulations based on mathematical models – sets of equations – that describe the underlying physical properties. However, these equations are usually much too complicated to solve, either by the smartest mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into a program that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds to introduce the most important classes of numerical methods, with finite element, finite difference and spectral methods as central tools. The concluding section describes applications in physics and engineering, including wave propagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB®.
| Author | : Nabil Nassif |
| Publisher | : CRC Press |
| Total Pages | : 332 |
| Release | : 2016-04-19 |
| Genre | : Mathematics |
| ISBN | : 1466589493 |
Designed for a one-semester course, Introduction to Numerical Analysis and Scientific Computing presents fundamental concepts of numerical mathematics and explains how to implement and program numerical methods. The classroom-tested text helps students understand floating point number representations, particularly those pertaining to IEEE simple an
| Author | : Azmy S. Ackleh |
| Publisher | : CRC Press |
| Total Pages | : 628 |
| Release | : 2009-07-20 |
| Genre | : Mathematics |
| ISBN | : 1420091581 |
Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.The text covers the main areas o
| Author | : Ionut Danaila |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 303 |
| Release | : 2007-12-03 |
| Genre | : Mathematics |
| ISBN | : 0387491597 |
This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online.
