Applied Numerical Methods Using MATLAB. Won Y. Yang

Чтение книги онлайн.

Читать онлайн книгу Applied Numerical Methods Using MATLAB - Won Y. Yang страница 11

Applied Numerical Methods Using MATLAB - Won Y. Yang

Скачать книгу

Cao, Jaekwon Kim, Kyung W. Park, Ho‐Hyun Park, Jingon Joung, Jong‐Suk Ro, Han L. Lee, Cheol‐Ho Hong, Taeho Im to be identified as the authors of this work has been asserted in accordance with law.

       Registered Office

      John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

       Editorial Office

      111 River Street, Hoboken, NJ 07030, USA

      For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

      Wiley also publishes its books in a variety of electronic formats and by print‐on‐demand. Some content that appears in standard print versions of this book may not be available in other formats.

       Limit of Liability/Disclaimer of Warranty

      MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This work's use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       Library of Congress Cataloging‐in‐Publication Data

      Names: Yang, Won Y., 1953- author. | Cao, Wenwu, author. | Kim,

      Jaekwon, 1972- author. | Park, Kyung W., 1976- author. | Park, Ho Hyun,

      1964- author. | Joung, Jingon, 1974- author. | Ro, Jong Suk, 1975-

      author. | Lee, Han L., 1983- author. | Hong, Cheol Ho, 1977- author. |

      Im, Taeho, 1979- author.

      Title: Applied numerical methods using MATLAB® / Won Y. Yang, Wenwu Cao,

      Jaekwon Kim, Kyung W. Park, Ho Hyun Park, Jingon Joung, Jong Suk Ro, Han

      L. Lee, Cheol Ho Hong, Taeho Im.

      Description: Second edition. | Hoboken, NJ : Wiley, 2020. | Includes

      bibliographical references and index.

      Identifiers: LCCN 2019030074 (print) | LCCN 2019030075 (ebook) | ISBN

      9781119626800 (hardback) | ISBN 9781119626718 (adobe pdf) | ISBN

      9781119626824 (epub)

      Subjects: LCSH: MATLAB. | Numerical analysis--Data processing.

      Classification: LCC QA297 .A685 2020 (print) | LCC QA297 (ebook) | DDC

      518--dc23

      LC record available at https://lccn.loc.gov/2019030074

      LC ebook record available at https://lccn.loc.gov/2019030075

      Cover Design: Wiley

      Cover Image: © Yurchanka Siarhei/Shutterstock

       To our parents and families who love and support us and to our teachers and students who enriched our knowledge

      This book introduces applied numerical methods for engineering and science students in sophomore to senior levels; it targets the students of today who do not like and/or do not have time to derive and prove mathematical results. It can also serve as a reference to MATLAB applications for professional engineers and scientists, since many of the MATLAB codes presented after introducing each algorithm's basic ideas can easily be modified to solve similar problems even by those who do not know what is going on inside the MATLAB routines and the algorithms they use. Just as most drivers have to know only where to go and how to drive a car to get to their destinations, most users have to know only how to formulate their problems that they want to solve using MATLAB and how to use the corresponding routines for solving them. We never deny that detailed knowledge about the algorithm (engine) of the program (car) is helpful for getting safely to the solution (destination); we only imply that one‐time users of any MATLAB program or routine may use this book as well as the readers who want to understand the underlying principle/equations of each algorithm.

      This book mainly focuses on helping readers understand the fundamental mathematical concepts and practice problem‐solving skills using MATLAB‐based numerical methods, skipping some tedious derivations/proofs. Obviously, basic concepts must be taught so that readers can properly formulate the mathematics problems. Afterward, readers can directly use the MATLAB codes to solve practical problems. Almost every algorithm introduced in this book is followed by example MATLAB code with a friendly interface so that students can easily modify the code to solve their own problems. The selection of exercises follows the same philosophy of making the learning easy and practical. Readers should be able to solve similar problems immediately after reading the materials and codes listed in this book. For most students – and particularly non‐math majors – understanding how to use numerical tools correctly in solving their problems of interest is more important than doing lengthy proofs and derivations.

      Compared with the first edition, Bairstow's method (Section 4.7), Integration Involving PWL Function (Section 5.11), Mixed Integer Linear Programming (Section 7.3.4), Neural Network (Section 7.4), Adaptive Filter (Section 7.5), Recursive Least‐Squares Estimation (Section 7.6), and DoA Estimation (Section 8.8) have been added to the second edition.

      Program files can be downloaded from <https://wyyang53.wixsite.com/mysite/publications>. Any questions, comments, and suggestions regarding this book are welcome and they should be mailed to [email protected].

      Won

Скачать книгу