Scientific Computing with MATLAB
2nd Edition
Published on 1. March 2016
Book
Hardback
586 pages
978-1-4987-5777-5 (ISBN)
Description
Scientific Computing with MATLAB (R), Second Edition improves students' ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter.
The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.
The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.
Reviews / Votes
Praise for the First Edition:"... this volume has many interesting cases to illustrate the power of MATLAB."-Bulletin of the Belgian Mathematical Society, Volume 20, 2013
"The reader's ability to tackle mathematical problems can be significantly enhanced after reading this book. ... This book can be used as a reference text for almost all college students, both undergraduates and graduates, in almost all disciplines that require certain levels of applied mathematics. This book will be a good desktop reference for many who have graduated from college and are still involved in solving mathematical problems in their jobs. A lot of MATLAB function designed by the authors and some third-party free toolboxes are also presented in the book."
-Zentralblatt MATH, 1156
More details
Edition
2nd edition
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
259 s/w Abbildungen, 65 s/w Tabellen
65 Tables, black and white; 259 Illustrations, black and white
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 37 mm
Weight
1322 gr
ISBN-13
978-1-4987-5777-5 (9781498757775)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Dingyu Xue | YangQuan Chen
Scientific Computing with MATLAB
Book
03/2021
2nd Edition
Chapman & Hall/CRC
€72.80
Shipment within 15-20 days
Dingyu Xue | YangQuan Chen
Scientific Computing with MATLAB
E-Book
09/2018
2nd Edition
Chapman & Hall/CRC
€68.49
Available for download
Dingyu Xue | YangQuan Chen
Scientific Computing with MATLAB
E-Book
09/2018
2nd Edition
Chapman & Hall/CRC
€68.49
Available for download
Previous edition
Dingyu Xue | YangQuan Chen
Solving Applied Mathematical Problems with MATLAB
Book
10/2008
1st Edition
Chapman & Hall/CRC
€104.17
Article exhausted; check for reprint
Persons
Dingyue Xue is a professor of control engineering in the College of Information Science and Engineering at Northeastern University in China. Dr. Xue is the author or coauthor of many books on MATLAB (R)-based control, simulation, and mathematical problem solutions, including Computer Aided Control Systems Design with MATLAB, Solving Advanced Applied Mathematical Problems Using MATLAB, and System Simulation Techniques with MATLAB and Simulink. His current research interests include CAD of control systems, system simulation, and fractional order control. He earned his D.Phil. from Sussex University.
YangQuan Chen is the director and founder of the Mechatronics, Embedded Systems and Automation (MESA) Lab in the School of Engineering at the University of California, Merced. He is the topic editor-in-chief of field robotics for the International Journal of Advanced Robotic Systems, a founding editorial board member of Unmanned Systems, and an editorial board member of several other leading journals. Dr. Chen is also the author or coauthor of many books, including Distributed-Order Dynamic Systems: Stability, Simulation, Applications and Perspectives, Fractional Order Motion Controls, Remote Sensing and Actuation Using Unmanned Vehicles, System Simulation Techniques with MATLAB and Simulink, and Modeling, Analysis and Design of Control Systems in MATLAB and Simulink. His research interests include unmanned aerial systems and UAV-based personal remote sensing, cyber-physical systems, the modeling and control of renewable energy systems, mechatronics, and applied fractional calculus. He earned his Ph.D. from Nanyang Technological University.
YangQuan Chen is the director and founder of the Mechatronics, Embedded Systems and Automation (MESA) Lab in the School of Engineering at the University of California, Merced. He is the topic editor-in-chief of field robotics for the International Journal of Advanced Robotic Systems, a founding editorial board member of Unmanned Systems, and an editorial board member of several other leading journals. Dr. Chen is also the author or coauthor of many books, including Distributed-Order Dynamic Systems: Stability, Simulation, Applications and Perspectives, Fractional Order Motion Controls, Remote Sensing and Actuation Using Unmanned Vehicles, System Simulation Techniques with MATLAB and Simulink, and Modeling, Analysis and Design of Control Systems in MATLAB and Simulink. His research interests include unmanned aerial systems and UAV-based personal remote sensing, cyber-physical systems, the modeling and control of renewable energy systems, mechatronics, and applied fractional calculus. He earned his Ph.D. from Nanyang Technological University.
Content
Computer Mathematics Languages - An Overview. Fundamentals of MATLAB Programming and Scientific Visualization. Calculus Problems. Linear Algebra Problems. Integral Transforms and Complex-Valued Functions. Nonlinear Equations and Numerical Optimization Problems. Differential Equation Problems. Data Interpolation and Functional Approximation Problems. Probability and Mathematical Statistics Problems. Topics on Nontraditional Mathematical Branches. MATLAB Functions Index. Index.