Logo

Data Assimilation: A Mathematical Introduction

Large book cover: Data Assimilation: A Mathematical Introduction

Data Assimilation: A Mathematical Introduction
by

Publisher: arXiv.org
ISBN-13: 9783319203256
Number of pages: 158

Description:
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.

Home page url

Download or read it online for free here:
Download link
(2.2MB, PDF)

Similar books

Book cover: Universal Optimization and Its ApplicationUniversal Optimization and Its Application
by - viXra.org
This book describes new method of optimization (''Method of Deformation of Functional'') that has the advantages at greater generality and flexibility as well as the ability to solve complex problems which other methods cannot solve.
(5797 views)
Book cover: Linear Complementarity, Linear and Nonlinear ProgrammingLinear Complementarity, Linear and Nonlinear Programming
by
This book provides an in-depth and clear treatment of all the important practical, technical, computational, geometric, and mathematical aspects of the Linear Complementarity Problem, Quadratic Programming, and their various applications.
(11505 views)
Book cover: Optimal Stopping and ApplicationsOptimal Stopping and Applications
by - UCLA
From the table of contents: Stopping Rule Problems; Finite Horizon Problems; The Existence of Optimal Rules; Applications. Markov Models; Monotone Stopping Rule Problems; Maximizing the Rate of Return; Bandit Problems; Solutions to the Exercises.
(12943 views)
Book cover: A Practical Guide to Robust OptimizationA Practical Guide to Robust Optimization
by - arXiv
The aim of this paper is to help practitioners to understand robust optimization and to successfully apply it in practice. We provide a brief introduction to robust optimization, and also describe important do's and don'ts for using it in practice.
(7284 views)