Description |
1 online resource (304 pages) |
Contents |
BOOK COVER; TITLE; COPYRIGHT; INTRODUCTION; TABLE OF CONTENTS; Chapter I CONCEPTS OF MATRIX AND OPERATOR THEORY FOR SENSITIVITY AND UNCERTAINTY ANALYSIS; Chapter II CONCEPTS OF PROBABILITY THEORY FOR SENSITIVITY AND UNCERTAINTY ANALYSIS; Chapter III MEASUREMENT ERRORS AND UNCERTAINTIES: BASIC CONCEPTS; Chapter IV LOCAL SENSITIVITY AND UNCERTAINTY ANALYSIS OF LINEAR SYSTEMS; Chapter V LOCAL SENSITIVITY AND UNCERTAINTY ANALYSIS OF NONLINEAR SYSTEMS; Chapter VI GLOBAL OPTIMIZATION AND SENSITIVITY ANALYSIS; REFERENCES; INDEX |
Summary |
As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based on adjoint operators, which is applicable to a much wider variety of problems than methods traditionally used in control theory. This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP |
Notes |
Print version record |
Subject |
Mathematical models -- Evaluation.
|
|
Sensitivity theory (Mathematics)
|
|
Uncertainty (Information theory)
|
|
Mathematical models -- Evaluation
|
|
Sensitivity theory (Mathematics)
|
|
Uncertainty (Information theory)
|
Form |
Electronic book
|
ISBN |
9780203498798 |
|
0203498798 |
|