Tools, Methods, and Languages for Scientific and Engineering Computation
Author: B. Ford
Publisher: North Holland
Published: 1984
Total Pages: 484
ISBN-13:
DOWNLOAD EBOOKComputer Applications -- Physical Sciences and Engineering.
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Object Oriented Methods for Interoperable Scientific and Engineering Computing
Author: Michael E. Henderson
Publisher: SIAM
Published: 1999-01-01
Total Pages: 340
ISBN-13: 9780898714456
DOWNLOAD EBOOKContains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.
Elements of Scientific Computing
Author: Aslak Tveito
Publisher: Springer Science & Business Media
Published: 2010-09-24
Total Pages: 471
ISBN-13: 3642112994
DOWNLOAD EBOOKScience used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas that carry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming.
Accurate Scientific Computations
Author: Willard L. Miranker
Publisher: Springer Science & Business Media
Published: 1986-09
Total Pages: 224
ISBN-13: 9783540167983
DOWNLOAD EBOOKMathematics of Computing -- Numerical Analysis.
Fundamentals of Scientific Computing
Author: Bertil Gustafsson
Publisher: Springer Science & Business Media
Published: 2011-06-11
Total Pages: 317
ISBN-13: 3642194958
DOWNLOAD EBOOKThe 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®.
Scientific Computing, Computer Arithmetic, and Validated Numerics
Author: Marco Nehmeier
Publisher: Springer
Published: 2016-04-08
Total Pages: 291
ISBN-13: 3319317695
DOWNLOAD EBOOKThis book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in Würzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.
Computation in Science
Author: Konrad Hinsen
Publisher: Morgan & Claypool Publishers
Published: 2015-12-01
Total Pages: 113
ISBN-13: 1681740931
DOWNLOAD EBOOKThis book provides a theoretical background in computation to scientists who use computational methods. It explains how computing is used in the natural sciences, and provides a high-level overview of those aspects of computer science and software engineering that are most relevant for computational science. The focus is on concepts, results, and applications, rather than on proofs and derivations. The unique feature of this book is that it “connects the dots between computational science, the theory of computation and information, and software engineering. The book should help scientists to better understand how they use computers in their work, and to better understand how computers work. It is meant to compensate a bit for the general lack of any formal training in computer science and information theory. Readers will learn something they can use throughout their careers.
Computational Integration
Author: Arnold R. Krommer
Publisher: SIAM
Published: 1998-01-01
Total Pages: 464
ISBN-13: 9781611971460
DOWNLOAD EBOOKThis survey covers a wide range of topics fundamental to calculating integrals on computer systems and discusses both the theoretical and computational aspects of numerical and symbolic methods. It includes extensive sections on one- and multidimensional integration formulas, like polynomial, number-theoretic, and pseudorandom formulas, and deals with issues concerning the construction of numerical integration algorithms.
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
Author: Harald Niederreiter
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 391
ISBN-13: 1461225523
DOWNLOAD EBOOKScientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo methods which make use of probabilistic simulations are frequently used in areas such as numerical integration, complex scheduling, queueing networks, and large-dimensional simulations. This collection of papers arises from a conference held at the University of Nevada, Las Vegas, in 1994. The conference brought together researchers across a range of disciplines whose interests include the theory and application of these methods. This volume provides a timely survey of this field and the new directions in which the field is moving.
Introduction to Scientific Programming with Python
Author: Joakim Sundnes
Publisher:
Published: 2020
Total Pages: 157
ISBN-13: 3030503569
DOWNLOAD EBOOKThis 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.
