Model Order Reduction via Orthogonal Polynomial Approximation

von Yao-Lin Jiang

374 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Asia Pacific Mathematics Series
• Themen: Mathematik und Naturwissenschaften Mathematik Mathematische Analysis, allgemein Numerische Mathematik
• ISBN: 9789819583744
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore