Introduction To Scientific Computing And Data Analysis PDF Download
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| 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 | : Charles F. Van Loan |
| Publisher | : Pearson |
| Total Pages | : 388 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : |
Download Introduction to Scientific Computing Book in PDF, ePub and Kindle
Unique in content and approach, this book covers all the topics that are usually covered in an introduction to scientific computing--but folds in graphics and matrix-vector manipulation in a way that gets readers to appreciate the "connection" between continuous mathematics and computing. "MATLAB 5" is used "throughout" to encourage experimentation, and each chapter focuses on a different important theorem--allowing readers to appreciate the rigorous side of scientific computing. In addition to standard topical coverage, each chapter includes 1) a sketch of a "hard" problem that involves ill-conditioning, high dimension, etc.; 2)at least one theorem with both a rigorous proof and a "proof by MATLAB" experiment to bolster intuition; 3)at least one recursive algorithm; and 4)at least one connection to a real-world application. The book revolves around examples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Power Tools of the Trade. Polynomial Interpolation. Piecewise Polynomial Interpolation. Numerical Integration. Matrix Computations. Linear Systems. The QR and Cholesky Factorizations. Nonlinear Equations and Optimization. The Initial Value Problem. For engineers and mathematicians.
| 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 | : Einar Smith |
| Publisher | : Springer Nature |
| Total Pages | : 344 |
| Release | : 2020-12-02 |
| Genre | : Mathematics |
| ISBN | : 3030608085 |
Download Introduction to the Tools of Scientific Computing Book in PDF, ePub and Kindle
The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts. In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing. The fact that different languages are studied and compared also makes the book useful for mathematicians and practitioners trying to decide which programming language to use for which purposes.
| Author | : J. Nathan Kutz |
| Publisher | : Oxford University Press |
| Total Pages | : 657 |
| Release | : 2013-08-08 |
| Genre | : Computers |
| ISBN | : 0199660336 |
Download Data-Driven Modeling & Scientific Computation Book in PDF, ePub and Kindle
Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.
| 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 | : Arash Karimpour |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-07-31 |
| Genre | : |
| ISBN | : 9781735241012 |
Download Fundamentals of Data Science with MATLAB Book in PDF, ePub and Kindle
| Author | : Walter Gander |
| Publisher | : Springer Science & Business |
| Total Pages | : 905 |
| Release | : 2014-04-23 |
| Genre | : Mathematics |
| ISBN | : 3319043250 |
Download Scientific Computing - An Introduction using Maple and MATLAB Book in PDF, ePub and Kindle
Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.
| Author | : Victor Eijkhout |
| Publisher | : Lulu.com |
| Total Pages | : 536 |
| Release | : 2010 |
| Genre | : Algebras, Linear |
| ISBN | : 1257992546 |
Download Introduction to High Performance Scientific Computing Book in PDF, ePub and Kindle
This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.
| Author | : Joakim Sundnes |
| Publisher | : |
| Total Pages | : 157 |
| Release | : 2020 |
| Genre | : Computer programming |
| ISBN | : 3030503569 |
Download Introduction to Scientific Programming with Python Book in PDF, ePub and Kindle
This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
