8 edition of Sensitivity, stability, and parametric analysis found in the catalog.
by North-Holland, Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. in Amsterdam, New York, New York, N.Y., U.S.A
Written in English
Bibliography: p. 241-242.
|Statement||edited by Anthony V. Fiacco ; B. Bank ... [et al.].|
|Series||Mathematical programming study ;, 21|
|Contributions||Fiacco, Anthony V., Bank, B. 1941-|
|LC Classifications||QA402.5 .S46 1984|
|The Physical Object|
|Pagination||vi, 242 p. :|
|Number of Pages||242|
|LC Control Number||84014439|
The discontinuities of the rock mass pose a high impact on its response to the static load and make complexity in modeling in such area. Principal objective of this study is to analyze the stability and sensitivity of Golab transfer tunnel access (transfer water from Zayanderud River to Kashan). This tunnel with a length of kilometers and inclination of percent is located Search the world's most comprehensive index of full-text books. My libraryMissing: stability, parametric.
Parametric stability statistics have suitable properties under certain statistical assumptions, including a normal distribution and homogeneity of variance of the errors and their interaction effects. However, parametric statistics may not be the best method for assessing genotype stability if the assumptions are not met (Huhn, ). () Sensitivity and stability analysis for nonlinear programming. Annals of Operations Research , () Sensitivity Analysis of Nonlinear .
This parametric sensitivity analysis defines the sensitivity of a steady state point against the variation of a particular system parameter. The parametric sensitivities are derived here by studying the effects changes in a given parameter over the system natural modes of the variations on the small signal stability and the results obtained. Sensitivity of Automatic Control Systems book. and establish relations between sensitivity theory and classical stability problems. They offer a significant, general theory for investigating the sensitivity of boundary problems and use elements of this theory for sensitivity analysis of solutions to nonlinear programming and variational.
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Sensitivity, Stability and Parametric Analysis. Editors; Anthony V. Fiacco Chapters Table of contents (13 chapters) About About this book; Table of contents.
Search within book. Front Matter. PDF. Stability of mixed-integer quadratic programming problems T. Gal. Pages Some examples and counterexamples for the stability analysis.
Genre/Form: Aufsatzsammlung: Sensitivity Physical Format: Online version: Sensitivity, stability, and parametric analysis. Amsterdam ; New York: North-Holland ; New. Genre/Form: Electronic books: Additional Physical Format: Print version: Sensitivity, stability, and parametric analysis.
Amsterdam ; New York: North-Holland ; New. A STABILITY AND SENSITIVITY ANALYSIS OF PARAMETRIC FUNCTIONS IN A SEDIMENTATION MODEL. sensitivity and stability analysis of the parametric model functions that play the roles of initial guess and observation data, respectively.
Keywords: Sedimentation of suspensions, sensitivity analysis, degenerate parabolic equation, parameter estimation, discrete mollification. The second feature is the thorough sensitivity and stability analysis of the parametric model functions that play stability roles of initial guess and observation data, respectively.
KEYWORDS: Sedimentation of suspensions, sensitivity analysis, degenerate parabolic. Advances in Sensitivity Analysis and Parametric Programming, () Sensitivity analysis in vector optimization. Journal of Optimization Theory. Book Description This book gives a unified presentation of the field of stability.
Buckling and post-buckling states are studied on the basis of total potential energy of structural systems. Emphasis is placed throughout the text on post-buckling analysis and behaviour. Quantitative Stability Analysis of Optimal Solutions in PDE-Constrained Optimization 8.
Numerical Sensitivity Analysis for the Quantity of Interest in PDE-Constrained Optimization 9. On the Interplay Between Interior Point Approximation and Parametric Sensitivities in Optimal Control Bibliography This chapter focuses on sensitivity analysis and Lyapunov stability.
Sensitivity analysis is an extension and development of a rather old idea, which became known in the theory of partial differential equations under the name of a correctly set problem.
The problem of parametric invariance for linear system subject to stationary or. This book provides introduction to theoretical background and first "hands on" practical computations in sensitivity analysis. Sensitivity analysis is based on systems view of statistical evaluation in quantification and extraction of effects of input factors in multivariate, nonlinear and dynamical systems on system output s: 4.
Santiago Zuluaga-Botero, Izabela Dobrosz-Gómez, Miguel-Ángel Gómez-García, Parametric Sensitivity Analysis for the Industrial Case of O-Xylene Oxidation to Phthalic Anhydride in a Packed Bed Catalytic Reactor, Catalysts, /catal, 10, 6, (), ().
Gal T. () A Historical Sketch on Sensitivity Analysis and Parametric Programming. In: Gal T., Greenberg H.J. (eds) Advances in Sensitivity Analysis and Parametic Programming. International Series in Operations Research & Management Science, vol 6.
Global sensitivity analysis. The uncertain outputs presented above make the conclusions sensitive to uncertainties regarding the conversion efficiency and unit vibration. Also, the generator speed is a key parameter that directly affects the connected stability of the generator linking to the electric power system.
Journal of Productivity Analysis, 15, –, °c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Sensitivity and Stability Analysis in DEA: Some Recent Developments W.
COOPER Red McCombs School of Business, University of Texas at Austin, Austin, TexasUSA SHANLING LI. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters.
This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. Sensitivity analyses are carried out with respect to the Mach number, Reynolds number and swirl number, and the accuracy of parametric gradients of the frequency response curve is assessed.
The sensitivity analysis reveals that increases in Reynolds and Mach numbers yield higher gains, through a decrease in temperature diffusion.
Understanding Scenario Analysis vs Sensitivity Analysis Investors use the two analytical methods to establish the amount of risk and potential benefits. The difference between the two methods is that sensitivity analysis examines the effect of changing just one variable at a time.
In book: Sensitivity, Stability and Parametric Analysis, pp parametric sensitivity analysis involves a perturbation analysis in which the effects of small changes of some or all of the. American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA.
The parametric study and sensitivity analysis were then performed based on a 1D enthalpy-based transient model, and the energy storage efficiency was used as the objective function to minimize the number of variables in the parameter space.Sensitivity analysis, combined with parametric optimization, is often presented as a way of checking if the solution of a deterministic linear program is reliable even if some of the parameters.In this paper basic results on sensitivity and stability analysis in di⁄erentiable nonlinear programming problems are surveyed.
We follow mainly the approach of A. V. Fiacco and his co-authors. We give also an overview on sensitivity for right-hand side perturbations of the parameters, on sensitivity for parametric linear.