Introduction To Numerical Analysis And Scientific Computing
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Author | : Nabil Nassif |
Publisher | : CRC Press |
Total Pages | : 332 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 1466589493 |
Download Introduction to Numerical Analysis and Scientific Computing Book in PDF, Epub and Kindle
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 | : Peter Deuflhard |
Publisher | : Springer Science & Business Media |
Total Pages | : 350 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 0387215840 |
Download Numerical Analysis in Modern Scientific Computing Book in PDF, Epub and Kindle
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 | : Dimitrios Mitsotakis |
Publisher | : CRC Press |
Total Pages | : 870 |
Release | : 2023-06-19 |
Genre | : Mathematics |
ISBN | : 1000889483 |
Download Computational Mathematics Book in PDF, Epub and Kindle
This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics, engineering, and computer science. Features: No previous experience in Python is required. Includes simplified computer code for fast-paced learning and transferable skills development. Includes practical problems ideal for project assignments and distance learning. Presents both intuitive and rigorous faces of modern scientific computing. Provides an introduction to neural networks and machine learning.
Author | : Germund Dahlquist |
Publisher | : SIAM |
Total Pages | : 741 |
Release | : 2008-09-04 |
Genre | : Mathematics |
ISBN | : 0898716446 |
Download Numerical Methods in Scientific Computing: Book in PDF, Epub and Kindle
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 | : Michael T. Heath |
Publisher | : SIAM |
Total Pages | : 567 |
Release | : 2018-11-14 |
Genre | : Science |
ISBN | : 1611975573 |
Download Scientific Computing Book in PDF, Epub and Kindle
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 | : David Ronald Kincaid |
Publisher | : American Mathematical Soc. |
Total Pages | : 810 |
Release | : 2009 |
Genre | : Mathematics |
ISBN | : 0821847880 |
Download Numerical Analysis Book in PDF, Epub and Kindle
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 | : Peter Linz |
Publisher | : Jones & Bartlett Learning |
Total Pages | : 494 |
Release | : 2003 |
Genre | : Mathematics |
ISBN | : 9780763714994 |
Download Exploring Numerical Methods Book in PDF, Epub and Kindle
Advanced Mathematics
Author | : James P Howard, II |
Publisher | : CRC Press |
Total Pages | : 257 |
Release | : 2017-07-12 |
Genre | : Mathematics |
ISBN | : 1498723640 |
Download Computational Methods for Numerical Analysis with R Book in PDF, Epub and Kindle
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 | : Mark H. Holmes |
Publisher | : Springer Nature |
Total Pages | : 563 |
Release | : 2023-07-11 |
Genre | : Computers |
ISBN | : 3031224302 |
Download Introduction to Scientific Computing and Data Analysis Book in PDF, Epub and Kindle
This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.
Author | : Nabil Nassif |
Publisher | : |
Total Pages | : 329 |
Release | : 2016 |
Genre | : |
ISBN | : |
Download Introduction to Numerical Analysis and Scientific Computing Book in PDF, Epub and Kindle
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.