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: Discrete OptimizationDiscrete Optimization
by - Utrecht University
From the table of contents: Preliminaries (Optimization Problems); Minimum Spanning Trees; Matroids; Shortest Paths; Maximum Flows; Minimum Cost Flows; Matchings; Integrality of Polyhedra; Complexity Theory; Approximation Algorithms.
(4124 views)
Book cover: Robust OptimizationRobust Optimization
by - Princeton University Press
Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of this relatively new approach to optimization.
(5353 views)
Book cover: Optimization and Dynamical SystemsOptimization and Dynamical Systems
by - Springer
Aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory.
(9342 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.
(3287 views)