Applied engineering analysis
By: Hsu, Tai-Ran.
Publisher: Hoboken John Wiley and Sons 2018Description: xxv, 500p.ISBN: 9781119071204.Subject(s): Mathematics -- EngineeringDDC classification: 620.00151 | H859a Summary: Applied Engineering Analysis is a concise textbookwhich demonstrates how toapply mathematics to solve engineering problems. It begins with an overview of engineering analysis and an introduction to mathematical modeling, followed by vector calculus, matrices and linear algebra, and applications of first and second order differential equations. Fourier series and Laplace transform are also covered, along with partial differential equations, numerical solutions to nonlinear and differential equations and an introduction to finite element analysis. The book also covers statistics with applications to design and statistical process controls. Drawing on the author′s extensive industry and teaching experience, spanning 40 years, the book takes a pedagogical approach and includes examples, case studies and end of chapter problems. It is also accompanied by a website hosting a solutions manual and PowerPoint slides for instructors. Key features: Strong emphasis on deriving equations, not just solving given equations, for the solution of engineering problems. Examples and problems of a practical nature with illustrations to enhance student s self–learning. Numerical methods and techniques, including finite element analysis. Includes coverage of statistical methods for probabilistic design analysis of structures and statistical process control (SPC). Applied Engineering Analysis is a resource book for engineering students and professionals to learn how to apply the mathematics experience and skills that they have already acquired to their engineering profession for innovation, problem solving, and decision making.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | General Stacks | 620.00151 H859a (Browse shelf) | Available | A183758 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
620.00151 G629t TECHNICAL MATHEMATICS WITH APPLICATIONS | 620.00151 G875n NUMERICAL METHODS FOR ENGINEERS | 620.00151 G948G GODUNOV-TYPE SCHEMES | 620.00151 H859a Applied engineering analysis | 620.00151 In2 Industrial mathematics | 620.00151 In8 FINITE ELEMENT METHODS IN ENGINEERING | 620.00151 J37a LINEAR ALGEBRA AND ORDINARY DIFFERENTIAL EQUATIONS |
Applied Engineering Analysis is a concise textbookwhich demonstrates how toapply mathematics to solve engineering problems. It begins with an overview of engineering analysis and an introduction to mathematical modeling, followed by vector calculus, matrices and linear algebra, and applications of first and second order differential equations. Fourier series and Laplace transform are also covered, along with partial differential equations, numerical solutions to nonlinear and differential equations and an introduction to finite element analysis. The book also covers statistics with applications to design and statistical process controls.
Drawing on the author′s extensive industry and teaching experience, spanning 40 years, the book takes a pedagogical approach and includes examples, case studies and end of chapter problems. It is also accompanied by a website hosting a solutions manual and PowerPoint slides for instructors.
Key features:
Strong emphasis on deriving equations, not just solving given equations, for the solution of engineering problems.
Examples and problems of a practical nature with illustrations to enhance student s self–learning.
Numerical methods and techniques, including finite element analysis.
Includes coverage of statistical methods for probabilistic design analysis of structures and statistical process control (SPC).
Applied Engineering Analysis is a resource book for engineering students and professionals to learn how to apply the mathematics experience and skills that they have already acquired to their engineering profession for innovation, problem solving, and decision making.
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