Introduction To Scientific Computing And Data Analysis
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Introduction To Scientific Computing And Data Analysis
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Author : Mark H. Holmes
language : en
Publisher: Springer Nature
Release Date : 2023-07-11
Introduction To Scientific Computing And Data Analysis written by Mark H. Holmes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-11 with Computers categories.
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.
Fundamentals Of Data Science With Matlab
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Author : Arash Karimpour
language : en
Publisher:
Release Date : 2020-07-31
Fundamentals Of Data Science With Matlab written by Arash Karimpour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with categories.
Principles Of Data Science With Python
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Author : Arash Karimpour
language : en
Publisher:
Release Date : 2020-07-31
Principles Of Data Science With Python written by Arash Karimpour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with categories.
A Gentle Introduction To Scientific Computing
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Author : Dan Stanescu
language : en
Publisher: CRC Press
Release Date : 2022-05-01
A Gentle Introduction To Scientific Computing written by Dan Stanescu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-01 with Mathematics categories.
This book intends to serve a very broad audience of college students across a variety of disciplines. It exposes its readers to some of the basic tools and techniques used in computational science, with a view to helping them understand what happens ‘behind the scenes’ when simple tools are used.
Introduction To Numerical Analysis And Scientific Computing
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Author : Nabil Nassif
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Introduction To Numerical Analysis And Scientific Computing written by Nabil Nassif and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
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
An Introduction To Bayesian Scientific Computing
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Author : Daniela Calvetti
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-20
An Introduction To Bayesian Scientific Computing written by Daniela Calvetti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-20 with Computers categories.
This book has been written for undergraduate and graduate students in various disciplines of mathematics. The authors, internationally recognized experts in their field, have developed a superior teaching and learning tool that makes it easy to grasp new concepts and apply them in practice. The book’s highly accessible approach makes it particularly ideal if you want to become acquainted with the Bayesian approach to computational science, but do not need to be fully immersed in detailed statistical analysis.
Introduction To High Performance Scientific Computing
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Author : Victor Eijkhout
language : en
Publisher: Lulu.com
Release Date : 2010
Introduction To High Performance Scientific Computing written by Victor Eijkhout and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Algebras, Linear categories.
This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.
Data Driven Modeling Scientific Computation
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Author : J. Nathan Kutz
language : en
Publisher: OUP Oxford
Release Date : 2013-08-08
Data Driven Modeling Scientific Computation written by J. Nathan Kutz and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-08 with Mathematics categories.
The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: · statistics, · time-frequency analysis, and · low-dimensional reductions The blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems. Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.
Introduction To Scientific Programming With Python
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Author : Joakim Sundnes
language : en
Publisher:
Release Date : 2020
Introduction To Scientific Programming With Python written by Joakim Sundnes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computer programming categories.
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.
Topological Data Analysis For Scientific Visualization
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Author : Julien Tierny
language : en
Publisher: Springer
Release Date : 2018-01-16
Topological Data Analysis For Scientific Visualization written by Julien Tierny and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-16 with Mathematics categories.
Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases. With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.