£129.97

Springer Geometrically Unfitted Finite Element Methods - UCL 2016

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Description

This comprehensive volume from Springer presents the proceedings of the UCL Workshop 2016, offering in-depth coverage of geometrically unfitted finite element methods and their practical applications. Part of the prestigious Lecture Notes in Computational Science and Engineering series (volume 121), this academic resource brings together contributions from leading researchers exploring advanced numerical techniques for solving complex computational problems. Geometrically unfitted methods represent a significant development in finite element analysis, enabling flexible discretisation approaches that do not require body-fitted meshes. This proceedings volume is essential for computational scientists, engineers, and mathematicians working on finite element modelling, numerical analysis, and scientific computing applications where traditional mesh-fitting constraints present challenges. The collection synthesises recent research findings and methodological advances presented at the workshop, providing readers with current theoretical insights and applied examples relevant to modern computational science practice.

Key Features

Part of Springer's Lecture Notes in Computational Science and Engineering series as volume 121, establishing credibility in academic computational research.

Comprises proceedings from the UCL Workshop 2016, featuring contributions from specialists in geometrically unfitted finite element methods.

Covers advanced numerical techniques that eliminate the requirement for body-fitted meshes in finite element analysis.

Provides both theoretical frameworks and practical applications for computational scientists and engineering professionals.

Addresses contemporary challenges in finite element modelling and numerical discretisation using unfitted method approaches.

Offers insights into cutting-edge research presented at a major university workshop on computational methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 December 2018
Listed Since
12 January 2019

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No barcode data available

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