Name: The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III (en Inglés)
SKU: 63500383
Price: 75.90 USD
Availability: InStock
Author: Dan Gabriel Cacuci

portada The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III (en Inglés)

The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III (en Inglés)

Formato

Libro Físico

Editorial

Springer Nature B.V.

Autor

Dan Gabriel Cacuci

Año

2023

Idioma

Inglés

N° páginas

384

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6 cm

ISBN13

9783031227585

The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III (en Inglés)

Dan Gabriel Cacuci (Autor) · Springer Nature B.V. · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 138.01$ 75.90

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 75.90

Llega entre el 11 Sep y el 24 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III (en Inglés)"

This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale systems. The model’s responses can be either scalar-valued functionals of the model’s parameters and state variables (as customarily encountered, e.g., in optimization problems) or general function-valued responses, which are often of interest but are currently not amenable to efficient sensitivity analysis. The C-ASAM framework is set in linearly increasing Hilbert spaces, each of state-function-dimensionality, as opposed to exponentially increasing parameter-dimensional spaces, thereby breaking the so-called "curse of dimensionality" in sensitivity and uncertainty analysis. The C-ASAM applies to any model; the larger the number of model parameters, the more efficient the C-ASAM becomes for computing arbitrarily high-order response sensitivities. The text includes illustrative paradigm problems which are fully worked-out to enable the thorough understanding of the C-ASAM’s principles and their practical application. The book will be helpful to those working in the fields of sensitivity analysis, uncertainty quantification, model validation, optimization, data assimilation, model calibration, sensor fusion, reduced-order modelling, inverse problems and predictive modelling. It serves as a textbook or as supplementary reading for graduate course on these topics, in academic departments in the natural, biological, and physical sciences and engineering.

This Volume Three, the third of three, covers systems that are nonlinear in the state variables, model parameters and associated responses. The selected illustrative paradigm problems share these general characteristics. A separate Volume One covers systems that are linear in the state variables.