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Inverse Problems and Data Assimilation
  • Language: en
  • Pages: 228

Inverse Problems and Data Assimilation

This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.

Inverse Problems and Data Assimilation
  • Language: en
  • Pages: 227

Inverse Problems and Data Assimilation

A clear and concise mathematical introduction to the subjects of inverse problems and data assimilation, and their inter-relations.

Data Assimilation
  • Language: en
  • Pages: 256

Data Assimilation

  • Type: Book
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  • Published: 2015-09-05
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  • Publisher: Springer

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 organize...

Künneth Geometry
  • Language: en
  • Pages: 200

Künneth Geometry

This clear and elegant text introduces Künneth, or bi-Lagrangian, geometry from the foundations up, beginning with a rapid introduction to symplectic geometry at a level suitable for undergraduate students. Unlike other books on this topic, it includes a systematic development of the foundations of Lagrangian foliations. The latter half of the text discusses Künneth geometry from the point of view of basic differential topology, featuring both new expositions of standard material and new material that has not previously appeared in book form. This subject, which has many interesting uses and applications in physics, is developed ab initio, without assuming any previous knowledge of pseudo-Riemannian or para-complex geometry. This book will serve both as a reference work for researchers, and as an invitation for graduate students to explore this field, with open problems included as inspiration for future research.

An Introduction to Sequential Monte Carlo
  • Language: en
  • Pages: 390

An Introduction to Sequential Monte Carlo

This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general...

Fabricate 2020
  • Language: en
  • Pages: 163

Fabricate 2020

  • Type: Book
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  • Published: 2020-04-06
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  • Publisher: UCL Press

Fabricate 2020 is the fourth title in the FABRICATE series on the theme of digital fabrication and published in conjunction with a triennial conference (London, April 2020). The book features cutting-edge built projects and work-in-progress from both academia and practice. It brings together pioneers in design and making from across the fields of architecture, construction, engineering, manufacturing, materials technology and computation. Fabricate 2020 includes 32 illustrated articles punctuated by four conversations between world-leading experts from design to engineering, discussing themes such as drawing-to-production, behavioural composites, robotic assembly, and digital craft.

Robot 2015: Second Iberian Robotics Conference
  • Language: en
  • Pages: 760

Robot 2015: Second Iberian Robotics Conference

  • Type: Book
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  • Published: 2015-11-27
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  • Publisher: Springer

This book contains a selection of papers accepted for presentation and discussion at ROBOT 2015: Second Iberian Robotics Conference, held in Lisbon, Portugal, November 19th-21th, 2015. ROBOT 2015 is part of a series of conferences that are a joint organization of SPR – “Sociedade Portuguesa de Robótica/ Portuguese Society for Robotics”, SEIDROB – Sociedad Española para la Investigación y Desarrollo de la Robótica/ Spanish Society for Research and Development in Robotics and CEA-GTRob – Grupo Temático de Robótica/ Robotics Thematic Group. The conference organization had also the collaboration of several universities and research institutes, including: University of Minho, Univ...

Major Financial Institutions of Europe 1994
  • Language: en
  • Pages: 274

Major Financial Institutions of Europe 1994

The eighth edition of this directory supplies data on over 1000 financial institutions in Europe, principally banks, investment companies, insurance companies and leasing companies. Among the details given are names of chairmen, board members and senior management.

Annual Report
  • Language: en
  • Pages: 288

Annual Report

  • Type: Book
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  • Published: 1991
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  • Publisher: Unknown

None

Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
  • Language: en
  • Pages: 491

Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization

Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.