Introduction to computational engineering with MATLAB
Material type:
TextSeries: Chapman & Hall/CRC numerical analysis and scientific computing seriesPublication details: Boca Raton, FL : C&H/CRC Press, 2023. Description: xxiv, 414 pagesISBN: 9781032221410Subject(s): MATLAB | Engineering -- Data processing | Computer engineeringDDC classification: 004.41:62 Online resources: Table of content | Reviews Summary: Introduction to Computational Engineering with MATLAB® aims to teach readers how to use MATLAB programming to solve numerical engineering problems. The book focuses on computational engineering with the objective of helping engineering students improve their numerical problem-solving skills. The book cuts a middle path between undergraduate texts that simply focus on programming and advanced mathematical texts that skip over foundational concepts, feature cryptic mathematical expressions, and do not provide sufficient support for novices.
Although this book covers some advanced topics, readers do not need prior computer programming experience or an advanced mathematical background. Instead, the focus is on learning how to leverage the computer and software environment to do the hard work. The problem areas discussed are related to data-driven engineering, statistics, linear algebra, and numerical methods. Some example problems discussed touch on robotics, control systems, and machine learning.
| Item type | Current library | Call number | Status | Date due | Barcode |
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NISER LIBRARY | 004.41:62 BOW-I (Browse shelf(Opens below)) | Available | 25647 |
Includes bibliographical references and index.
Introduction to Computational Engineering with MATLAB® aims to teach readers how to use MATLAB programming to solve numerical engineering problems. The book focuses on computational engineering with the objective of helping engineering students improve their numerical problem-solving skills. The book cuts a middle path between undergraduate texts that simply focus on programming and advanced mathematical texts that skip over foundational concepts, feature cryptic mathematical expressions, and do not provide sufficient support for novices.
Although this book covers some advanced topics, readers do not need prior computer programming experience or an advanced mathematical background. Instead, the focus is on learning how to leverage the computer and software environment to do the hard work. The problem areas discussed are related to data-driven engineering, statistics, linear algebra, and numerical methods. Some example problems discussed touch on robotics, control systems, and machine learning.
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