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Uncertainty Quantification and Stochastic Modeling with Matlab / (Record no. 247068)

000 -LEADER
fixed length control field 06078cam a2200553Ii 4500
001 - CONTROL NUMBER
control field ocn906575071
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190328114810.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150406s2015 enk ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency N$T
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency N$T
Modifying agency N$T
-- BTCTA
-- CDX
-- COO
-- OPELS
-- IDEBK
-- E7B
-- UIU
-- YDXCP
-- OCLCF
-- EBLCP
-- DEBSZ
-- FEM
-- VGM
-- OCLCQ
-- BUF
-- U3W
-- D6H
-- OCLCQ
-- WYU
019 ## -
-- 908100355
-- 968002077
-- 969082919
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780081004715
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0081004710
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781785480058
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1785480057
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)906575071
Canceled/invalid control number (OCoLC)908100355
-- (OCoLC)968002077
-- (OCoLC)969082919
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.2
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 003000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cursi, Eduardo Souza de,
Relator term author.
245 10 - TITLE STATEMENT
Title Uncertainty Quantification and Stochastic Modeling with Matlab /
Medium [electronic resource]
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer ISTE Press Ltd ;
Place of production, publication, distribution, manufacture Kidlington, Oxford :
Name of producer, publisher, distributor, manufacturer Elsevier Ltd.,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Source rda
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Vendor-supplied metadata.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlab� illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Cover ; Uncertainty Quantification and Stochastic Modeling with Matlab� ; Copyright ; Contents ; Introduction ; Chapter 1: Elements of Probability Theory and Stochastic Processes ; 1.1. Notation ; 1.2. Numerical Characteristics of Finite Populations ; 1.3. Matlab Implementation; 1.4. Couples of Numerical Characteristics ; 1.5. Matlab Implementation ; 1.6. Hilbertian Properties of the Numerical Characteristics ; 1.7. Measure and Probability ; 1.8. Construction of Measures ; 1.9. Measures, Probability and Integrals in Infinite Dimensional Spaces ; 1.10. Random Variables.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1.11. Hilbertian Properties of Random Variables 1.12. Sequences of Random Variables ; 1.13. Some Usual Distributions ; 1.14. Samples of Random Variables ; 1.15. Gaussian Samples ; 1.16. Stochastic Processes ; 1.17. Hilbertian Structure ; 1.18. Wiener Process ; 1.19. Ito Integrals ; 1.20. Ito Calculus ; Chapter 2: Maximum Entropy and Information ; 2.1. Construction of a Stochastic Model ; 2.2. The Principle of Maximum Entropy ; 2.3. Generating Samples of Random Variables, Random Vectors and Stochastic Processes.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.4. Karhunen-Lo�eve Expansions and Numerical Generation of Variates from Stochastic Processes Chapter 3: Representation of Random Variables ; 3.1. Approximations Based on Hilbertian Properties ; 3.2. Approximations Based on Statistical Properties (Moment Matching Method); 3.3. Interpolation-Based Approximations (Collocation); Chapter 4: Linear Algebraic Equations Under Uncertainty ; 4.1. Representation of the Solution of Uncertain Linear Systems ; 4.2. Representation of Eigenvalues and Eigenvectors of Uncertain Matrices ; 4.3. Stochastic Methods for Deterministic Linear Systems.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 5: Nonlinear Algebraic Equations Involving Random Parameters 5.1. Nonlinear Systems of Algebraic Equations ; 5.2. Numerical Solution of Noisy Deterministic Systems of Nonlinear Equations ; Chapter 6: Differential Equations Under Uncertainty ; 6.1. The Case of Linear Differential Equations ; 6.2. The Case of Nonlinear Differential Equations ; 6.3. The Case of Partial Differential Equations ; 6.4. Reduction of Hamiltonian Systems ; 6.5. Local Solution of Deterministic Differential Equations by Stochastic Simulation ; 6.6. Statistics of Dynamical Systems.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 7: Optimization Under Uncertainty 7.1. Representation of the Solutions in Unconstrained Optimization ; 7.2. Stochastic Methods in Deterministic Continuous Optimization ; 7.3. Population-Based Methods; 7.4. Determination of Starting Points ; Chapter 8: Reliability-Based Optimization ; 8.1. The Model Situation ; 8.2. Reliability Index ; 8.3. FORM; 8.4. The Bi-Level or Double-Loop Method; 8.5. One-Level or Single-Loop Approach ; 8.6. Safety Factors ; Bibliography ; Index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Uncertainty (Information theory)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS
General subdivision Applied.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS
General subdivision Probability & Statistics
-- General.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic models.
Source of heading or term fast
Authority record control number (OCoLC)fst01737780
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Uncertainty (Information theory)
Source of heading or term fast
Authority record control number (OCoLC)fst01160838
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sampaio, Rubens,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780081004715
Record control number (OCoLC)906575071
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified ScienceDirect
Uniform Resource Identifier http://www.sciencedirect.com/science/book/9781785480058

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Last Updated on September 15, 2019
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