A01=Dan M. Frangopol
A01=George Cain
A01=Hugh W. Coleman
A01=Paul Norton
A01=Richard L. Kautz
A01=W. Glenn Steele
A01=William F. Ames
A01=Y.L. Tong
Abel Equation
advanced mathematical modeling for engineers
Author_Dan M. Frangopol
Author_George Cain
Author_Hugh W. Coleman
Author_Paul Norton
Author_Richard L. Kautz
Author_W. Glenn Steele
Author_William F. Ames
Author_Y.L. Tong
Basic Feasible Solution
Category=PB
Chaotic Attractor
Detailed Uncertainty Analysis
Dy
engineering mathematics applications
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental uncertainty quantification
Fourier Cosine Transform
Fuzzy Relation
Fuzzy Set
Holding
Homogeneous Equation
Laplace Transform
Liapunov Exponents
matrix algebra techniques
Membership Functions
Membership Grade
Neighboring Trajectories
Nice Function
numerical approximation methods
Optimal Basic Feasible Solution
Optimal Feasible Solution
Ordinary Differential Equation
Partial Differential Equation
Precision Uncertainties
Set A
Smoothing
State Space Trajectory
statistical data analysis
Synchronous Motor
vector calculus methods
Product details
- ISBN 9780367399160
- Weight: 453g
- Dimensions: 178 x 254mm
- Publication Date: 07 Oct 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Mathematics for Mechanical Engineers gives mechanical engineers convenient access to the essential problem solving tools that they use each day. It covers applications employed in many different facets of mechanical engineering, from basic through advanced, to ensure that you will easily find answers you need in this handy guide.
For the engineer venturing out of familiar territory, the chapters cover fundamentals like physical constants, derivatives, integrals, Fourier transforms, Bessel functions, and Legendre functions. For the experts, it includes thorough sections on the more advanced topics of partial differential equations, approximation methods, and numerical methods, often used in applications. The guide reviews statistics for analyzing engineering data and making inferences, so professionals can extract useful information even with the presence of randomness and uncertainty. The convenient Mathematics for Mechanical Engineers is an indispensable summary of mathematics processes needed by engineers.
Kreith, Frank; Ames, William F.; Cain, George; Tong, Y. L.; Steele, W. Glenn; Coleman, Hugh W.; Kautz, Richard L.; Frangopol, Dan M.; Norton, Paul
