Inicio > Matemáticas y ciencia > Matemáticas > Probabilidad y estadística > Advances in High-Order Sensitivity Analysis
Advances in High-Order Sensitivity Analysis

Advances in High-Order Sensitivity Analysis

Dan Gabriel Cacuci

135,21 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2026
Materia
Probabilidad y estadística
ISBN:
9781032763590
135,21 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Kálamo Books
  • Librería Elías (Asturias)
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
Sobre IBD

This book follows the 'adjoint method' of sensitivity analysis conceived by the author as the most efficient method for computing exactly first-order sensitivities. It will be of interest to postgraduate and professional mathematicians as well as engineers and scientists.

Artículos relacionados

  • ENGINEERING UNCERTAINTY AND RISK ANALYSIS
    Sergio E. Serrano
    An integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering u...
    Disponible

    134,56 €

  • UNDERSTANDING AND CALCULATING THE ODDS
    Catalin Barboianu
    Man’s daily life is full of decisional situations. Whether we have math skills or not, we frequently estimate and compare probabilities, sometimes without realizing it, especially when making decisions. But probabilities are not just simple numbers attached objectively or subjectively to events, as they perhaps look, and their calculus and usage is highly predisposed to qualita...
    Disponible

    31,61 €

  • Random Graphs and Complex Networks
    Remco van der Hofstad
    ...
  • Introduction to Malliavin Calculus
    David Nualart / Eulalia Nualart
    ...
    Disponible

    64,04 €

  • Probability, Markov Chains, Queues, and Simulation
    William J. Stewart
    Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic process...
  • SPSS for you
    A. Rajathi / P. Chandran
    In an era where statistical analysis underpins breakthroughs across all fields, the importance of mastering statistical software cannot be overstated. 'SPSS for you' emerges as a pivotal resource for anyone keen to navigate the complexities of statistical analysis with ease and precision. Drawing from over 25 years of teaching experience, practical guidance in statistical analy...
    Disponible

    29,30 €

Otros libros del autor

  • Advances in High-Order Predictive Modeling
    Dan Gabriel Cacuci
    Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling. ...
  • The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I
    Dan Gabriel Cacuci
    The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties und...
    Disponible

    233,42 €

  • The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III
    Dan Gabriel Cacuci
    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...
    Disponible

    47,40 €

  • The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III
    Dan Gabriel Cacuci
    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...
  • The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I
    Dan Gabriel Cacuci
    The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties und...
  • BERRU Predictive Modeling
    Dan Gabriel Cacuci
    This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact. Therefore, knowing only the nominal values of experimentally measured or computed quantities is insufficient for applications, particularly since the respective experimental and computed nominal values seldom coincide. In t...