The Resource Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource)
Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource)
Resource Information
The item Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online. The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters. This book is aimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to combine data with timedependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathema tics, either through a lecture course, or through selfstudy
 Language
 eng
 Edition
 1st ed. 2015.
 Extent
 XVIII, 242 p. 61 illus., 41 illus. in color.
 Contents

 Mathematical background
 Discrete Time: Formulation
 Discrete Time: Smoothing Algorithms
 Discrete Time: Filtering Algorithms
 Discrete Time: MATLAB Programs
 Continuous Time: Formulation
 Continuous Time: Smoothing Algorithms
 Continuous Time: Filtering Algorithms
 Continuous Time: MATLAB Programs
 Index
 Isbn
 9783319203256
 Label
 Data Assimilation : A Mathematical Introduction
 Title
 Data Assimilation
 Title remainder
 A Mathematical Introduction
 Statement of responsibility
 by Kody Law, Andrew Stuart, Konstantinos Zygalakis
 Language
 eng
 Summary
 This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online. The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters. This book is aimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to combine data with timedependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathema tics, either through a lecture course, or through selfstudy
 http://library.link/vocab/creatorName
 Law, Kody
 Image bit depth
 0
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName

 Stuart, Andrew.
 Zygalakis, Konstantinos.
 SpringerLink (Online service)
 Series statement
 Texts in Applied Mathematics,
 Series volume
 62
 http://library.link/vocab/subjectName

 Mathematics
 Dynamics
 Ergodic theory
 Computer mathematics
 Probabilities
 Statistics
 Label
 Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Mathematical background  Discrete Time: Formulation  Discrete Time: Smoothing Algorithms  Discrete Time: Filtering Algorithms  Discrete Time: MATLAB Programs  Continuous Time: Formulation  Continuous Time: Smoothing Algorithms  Continuous Time: Filtering Algorithms  Continuous Time: MATLAB Programs  Index
 Control code
 9783319203256
 Dimensions
 unknown
 Edition
 1st ed. 2015.
 Extent
 XVIII, 242 p. 61 illus., 41 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319203256
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319203256
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1086563345
 Label
 Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Mathematical background  Discrete Time: Formulation  Discrete Time: Smoothing Algorithms  Discrete Time: Filtering Algorithms  Discrete Time: MATLAB Programs  Continuous Time: Formulation  Continuous Time: Smoothing Algorithms  Continuous Time: Filtering Algorithms  Continuous Time: MATLAB Programs  Index
 Control code
 9783319203256
 Dimensions
 unknown
 Edition
 1st ed. 2015.
 Extent
 XVIII, 242 p. 61 illus., 41 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319203256
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319203256
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1086563345
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/DataAssimilationAMathematicalIntroduction/L1C560e5XoU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/DataAssimilationAMathematicalIntroduction/L1C560e5XoU/">Data Assimilation : A Mathematical Introduction, by Kody Law, Andrew Stuart, Konstantinos Zygalakis, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>