3 edition of **Uncertain input data problems and the worst scenario method** found in the catalog.

Uncertain input data problems and the worst scenario method

Ivan HlavГЎДЌek

- 249 Want to read
- 8 Currently reading

Published
**2004**
by Elsevier in Amsterdam, Boston
.

Written in English

- Uncertainty (Information theory),
- Error analysis (Mathematics),
- Mathematical models.

**Edition Notes**

Includes bibliographical references (p. 427-448) and index.

Statement | Ivan Hlaváček, Jan Chleboun, Ivo Babuška. |

Series | North-Holland series in applied mathematics and mechanics -- v. 46 |

Contributions | Chleboun, Jan., Babuška, Ivo. |

Classifications | |
---|---|

LC Classifications | Q375 .H53 2004 |

The Physical Object | |

Pagination | xxvi, 458 p. : |

Number of Pages | 458 |

ID Numbers | |

Open Library | OL22632632M |

ISBN 10 | 044451435X |

Scenario planning, also called scenario thinking or scenario analysis, is a strategic planning method that some organizations use to make flexible long-term plans. It is in large part an adaptation and generalization of classic methods used by military intelligence.. The original method was that a group of analysts would generate simulation games for policy makers. Data searches that yield incorrect results - This means that a search retrieves incorrect data as the result of a search. In the worst case situation, the data retrieved appears to be correct in format, but only by tracing back to source documents and other original data can it be determined that the data is incorrect for the search criteria.

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methods with which uncertainty is included when analyzing data. For data analysis of the type we will be doing in Physics , an effective analysis method is called Worst Case Analysis. Completion of Worst Case Analysis yields the best value of the result and a range of uncertainty in the form best valueFile Size: 22KB. Energy Scenarios: The Value and Limits of Scenario Analysis. Sergey Paltsev* Massachusetts Institute of Technology, Cambridge, MA, USA. Abstract. A need for a low-carbon world has added a new challenging dimension for the longterm - energy scenarios development. In addition to the traditional factors like technologicalFile Size: 1MB.

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Purchase Uncertain Input Data Problems and the Worst Scenario Method, Volume 46 - 1st Edition. Print Book & E-Book. ISBNUncertain Input Data Problems and the Worst Scenario Method (ISSN Book 46) - Kindle edition by Hlavacek, Ivan, Chleboun, Jan, Babuska, Ivo, Achenbach, Jan.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Uncertain Input Data Problems and the Worst Scenario Method (ISSN Book 46).Manufacturer: Elsevier Science.

Uncertain Input Data Problems and the Worst Scenario Method (Volume 46) (North-Holland Series in Applied Mathematics and Mechanics (Volume 46)) 1st Edition by Ivan Hlavacek (Author), Jan Chleboun (Author), Ivo Babuska (Author), Jan Achenbach (Editor) & 1 moreCited by: Uncertain Input Data Problems and the Worst Scenario Method.

Edited by Ivan Hlaváěek, Jan Chleboun, Ivo Babuška. Vol General Abstract Scheme and the Analysis of the Worst Scenario Method. (04) Book chapter Full text access Chapter II - General Abstract Scheme and the Analysis of the Worst Scenario Method.

Ivan. Get this from a library. Uncertain input data problems and the worst scenario method. [Ivan Hlaváček; Jan Chleboun; Ivo Babuška] -- This book deals with the impact of uncertainty in input data on the outputs of mathematical models.

Uncertain inputs as scalars, tensors, functions, or domain boundaries are considered. In practical. An introduction to the worst scenario method is given.

We start with an example and a general abstract scheme. An analysis of the method both on the continuous and approximate levels is discussed.

We show a possible incorporation of the method into the fuzzy set theory. Finally, we present a survey of applications published during the last by: Download Citation | Uncertain input data problems and the worst scenario method | An introduction to the worst scenario method is given.

We start with an example and a general abstract scheme. An Author: Ivan Hlaváček. In practical terms, material parameters or constitutive laws, for instance, are uncertain, and quantities as local temperature, local mechanical stress, or local displacement are monitored. The goal of the worst scenario method is to extremize the quantity over the set of uncertain input data.

ISBN: X OCLC Number: Description: xxvi, pages: illustrations ; 24 cm. Contents: I. Reality, mathematics, and computation l abstract scheme and the analysis of the worst scenario method inear elliptic boundary value problems lic problems --V. Elastic and thermoelastic beams c plates and pseudoplates --VII.

Read "Uncertain Input Data Problems and the Worst Scenario Method" by Ivan Hlavacek available from Rakuten Kobo. This book deals with the impact of uncertainty in input data on the outputs of mathematical models. Uncertain inputs as Brand: Elsevier Science.

The first step in the process of structuring scenarios is to develop an event sequence diagram describing “the success” or “as planned,” scenario (S 0).This scenario, after going through N events, leads to the successful, or “as planned” end-state, denoted ES describes the normal operating procedures for the system in the absence of any undesired initiating events (IEs).

Abstract. Three ingredients constitute mathematical models dependent on parameters whose value is uncertain: a compact set u ad of admissible parameters a, a state problem A(a)u = f(a) with an a-dependent state u ≡ u(a), and a continuous quantity of interest Ψ(a) = Φ(a,u(a)).In the worst scenario method (WSM), the maximum of Ψ over u ad is : J.

Chleboun. In addition to probabilistic uncertainty, this book also deals with ellipsoidal and more general convex descriptions of uncertainty. Uncertain Input Data Problems and the Worst Scenario Method, by Ivan Hlavacek, Jan Chleboun, and Ivo Babuska, Elsevier, Amsterdam,ISBN X.

In numerical analysis, the interval finite element method (interval FEM) is a finite element method that uses interval parameters. Interval FEM can be applied in situations where it is not possible to get reliable probabilistic characteristics of the structure.

This is important in concrete structures, wood structures, geomechanics, composite structures, biomechanics and in many other areas. Product Type: Book Edition: 1 Volume: 45 First Published: eBook: On Topological Derivatives for Elastic Solids with Uncertain Input Data Article (PDF Available) in Journal of Optimization Theory and Applications (3) June with 48 Reads.

Uncertain Input Data Problems and the Worst Scenario Method, () Unilateral Contact with Coulomb Friction and Uncertain Input Data. Numerical Functional Analysis and Optimization 24 Cited by: The finite element method is a numerical method widely used in engineering.

Experience shows that unreliable computation can lead to very serious consequences. Hence reliability questions stand more and more at the forefront of engineering and theoretical interests.

The present book presents the mathematical theory of the finite element method and focuses on the question of how reliable. Uncertain Input Data Problems and the Worst Scenario Method Ivan Hlavacek, Jan Chleboun, Ivo Babuska, Jan Achenbach. With this assumption, the value of the left hand side of the \true" constraint i x X j eaijxj bi 0 at a candidate solution xis a random variable with mean and the standard deviation given by Mean(ix) = X j aijxj 2bi; StD(i x) = ˙iDi(x); D i (x) = sX j2Ji a2 ijxj; where Ji is the set of indices of uncertain data entries of the i-th constraint and ˙i is the standard deviation of ˘ij.

In a worst-case scenario, management becomes a slave to historical data and trends rather than worrying about what the business is doing now. Scenario Planning is a method of direction-finding and strategy formation that defines itself by non-prediction. Scenarios are integrated narratives of how the future may unfold, with always two.

() Robust Estimation for Uncertain Models in a Data Fusion Scenario. IFAC Proceedings Volumes() Parameter estimation with Cited by: