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Path integrals in stochastic engineering dynamics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Path integrals in stochastic engineering dynamics/ by Ioannis A. Kougioumtzoglou, Apostolos F. Psaros, Pol D. Spanos.
Author:	Kougioumtzoglou, Ioannis A.
other author:	Psaros, Apostolos F.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiii, 228 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Wiener path integral formalism -- Linear systems under Gaussian white noise excitation: exact closed form solutions -- Nonlinear systems under Gaussian white noise excitation -- Nonlinear systems under non-white, non-Gaussian and non-stationary excitation -- Nonlinear systems with singular diffusion matrices: a broad perspective including hysteresis modeling -- High-dimensional nonlinear systems: circumventing the curse of dimensionality via a reduced-order formulation -- Efficient numerical implementation strategies via sparse representations and compressive sampling -- An enhanced quadratic Wiener path integral approximation with applications to nonlinear system reliability assessment -- Epilogue.
Contained By:	Springer Nature eBook
Subject:	Engineering - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-031-57863-2
ISBN:	9783031578632

Path integrals in stochastic engineering dynamics
Kougioumtzoglou, Ioannis A.

Path integrals in stochastic engineering dynamics[electronic resource] /by Ioannis A. Kougioumtzoglou, Apostolos F. Psaros, Pol D. Spanos. - Cham :Springer Nature Switzerland :2024. - xiii, 228 p. :ill., digital ;24 cm.

Introduction -- Wiener path integral formalism -- Linear systems under Gaussian white noise excitation: exact closed form solutions -- Nonlinear systems under Gaussian white noise excitation -- Nonlinear systems under non-white, non-Gaussian and non-stationary excitation -- Nonlinear systems with singular diffusion matrices: a broad perspective including hysteresis modeling -- High-dimensional nonlinear systems: circumventing the curse of dimensionality via a reduced-order formulation -- Efficient numerical implementation strategies via sparse representations and compressive sampling -- An enhanced quadratic Wiener path integral approximation with applications to nonlinear system reliability assessment -- Epilogue.

This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics. It fills a gap in the literature by introducing to the engineering mechanics community, for the first time in the form of a book, the Wiener path integral as a potent uncertainty quantification tool. Since the path integral flourished within the realm of quantum mechanics and theoretical physics applications, most books on the topic have focused on the complex-valued Feynman integral with only few exceptions, which present path integrals from a stochastic processes perspective. Remarkably, there are only few papers, and no books, dedicated to path integral as a solution technique in stochastic engineering dynamics. Summarizing recently developed techniques, this volume is ideal for engineering analysts interested in further establishing path integrals as an alternative potent conceptual and computational vehicle in stochastic engineering dynamics. Organizes and presents in a systematic manner recent advances in Wiener path integral solution techniques; Establishes Wiener path integrals as a potent conceptual and computational vehicle in stochastic engineering dynamics; Discusses diverse applications in emerging/transformative technologies, such as nano-mechanics and energy harvesting.

ISBN: 9783031578632

Standard No.: 10.1007/978-3-031-57863-2doiSubjects--Topical Terms:

646559
Engineering
--Statistical methods.

LC Class. No.: TA340

Dewey Class. No.: 620.0015195

Path integrals in stochastic engineering dynamics
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245 1 0 $a Path integrals in stochastic engineering dynamics $h [electronic resource] / $c by Ioannis A. Kougioumtzoglou, Apostolos F. Psaros, Pol D. Spanos.
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300 $a xiii, 228 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Wiener path integral formalism -- Linear systems under Gaussian white noise excitation: exact closed form solutions -- Nonlinear systems under Gaussian white noise excitation -- Nonlinear systems under non-white, non-Gaussian and non-stationary excitation -- Nonlinear systems with singular diffusion matrices: a broad perspective including hysteresis modeling -- High-dimensional nonlinear systems: circumventing the curse of dimensionality via a reduced-order formulation -- Efficient numerical implementation strategies via sparse representations and compressive sampling -- An enhanced quadratic Wiener path integral approximation with applications to nonlinear system reliability assessment -- Epilogue.
520 $a This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics. It fills a gap in the literature by introducing to the engineering mechanics community, for the first time in the form of a book, the Wiener path integral as a potent uncertainty quantification tool. Since the path integral flourished within the realm of quantum mechanics and theoretical physics applications, most books on the topic have focused on the complex-valued Feynman integral with only few exceptions, which present path integrals from a stochastic processes perspective. Remarkably, there are only few papers, and no books, dedicated to path integral as a solution technique in stochastic engineering dynamics. Summarizing recently developed techniques, this volume is ideal for engineering analysts interested in further establishing path integrals as an alternative potent conceptual and computational vehicle in stochastic engineering dynamics. Organizes and presents in a systematic manner recent advances in Wiener path integral solution techniques; Establishes Wiener path integrals as a potent conceptual and computational vehicle in stochastic engineering dynamics; Discusses diverse applications in emerging/transformative technologies, such as nano-mechanics and energy harvesting.
650 0 $a Engineering $x Statistical methods. $3 646559
650 0 $a Path integrals. $3 699909
650 1 4 $a Applied Dynamical Systems. $3 3538870
650 2 4 $a Mathematical and Computational Engineering Applications. $3 3592737
650 2 4 $a Stochastic Analysis. $3 3599427
650 2 4 $a Integral Transforms and Operational Calculus. $3 3538804
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 1066859
700 1 $a Psaros, Apostolos F. $3 3719559
700 1 $a Spanos, Pol D. $3 3719560
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856 4 0 $u https://doi.org/10.1007/978-3-031-57863-2
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