|
|
books
| book details |
Model Order Reduction via Orthogonal Polynomial Approximation
By (author) Yao-Lin Jiang
|
|
| on special |
normal price: R 5 827.95
Price: R 5 244.95
|
| book description |
This monograph presents a comprehensive exploration of model order reduction techniques rooted in orthogonal polynomials, addressing diverse dynamical systems such as linear, coupled, bilinear, time-delay, and nonlinear systems. By integrating general and specific polynomials—such as Laguerre and Chebyshev—as well as discrete orthogonal polynomials, the monograph introduces unified frameworks and innovative approaches, including structure-preserving reduction and hybrid methods. Organized thematically, the monograph combines theory with practical algorithms, emphasizing efficiency and accuracy. It features dedicated chapters on continuous-time and discrete-time systems, step-by-step derivations, and computational case studies. Readers will gain cutting-edge tools to simplify complex systems, accelerate simulations, and enhance design processes in engineering and applied mathematics.
| product details |
Normally shipped |
Publisher | Springer Verlag, Singapore
Published date | 11 Aug 2026
Language |
Format | Hardback
Pages | 372
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8195-8374-4
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 859.95
Price | R 7 073.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
|
Matt Dinniman
Paperback / softback
480 pages
was: R 523.95
now: R 461.95
|
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
