๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Topological Data Analysis for Scientific Visualization

โœ Scribed by Julien Tierny


Publisher
Springer
Year
2017
Tongue
English
Leaves
152
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Topological Data Analysis for Scientific
โœ Julien Tierny (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p><p>Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.</p><p>Theoretical concepts are presented in a painstaking but intuitive manner, with numerou

Topological Data Analysis for Scientific
โœ Julien Tierny ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer ๐ŸŒ English

Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quali

Computational Topology for Data Analysis
โœ Tamal Krishna Dey, Yusu Wang ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained tex

Computational Topology for Data Analysis
โœ TAMAL KRISHNA DEY, YUSU WANG ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially in both its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained text intr

Beginning Data Science in R: Data Analys
โœ Thomas Mailund [Thomas Mailund] ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Apress ๐ŸŒ English

<span><p>Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.</p><