Ebook Info
- Published: 2008
- Number of pages: 343 pages
- Format: PDF
- File Size: 2.04 MB
- Authors: Luigi Ambrosio
Description
The book is devoted to the theory of gradient flows in the general framework of metric spaces, and in the more specific setting of the space of probability measures, which provide a surprising link between optimal transportation theory and many evolutionary PDE’s related to (non)linear diffusion. Particular emphasis is given to the convergence of the implicit time discretization method and to the error estimates for this discretization, extending the well established theory in Hilbert spaces. The book is split in two main parts that can be read independently of each other.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐Perfect.
⭐very nice book. Clear proofs.
⭐Nice book, everything is perfect!
⭐Perfect for understanding the deep math behind modern approaches to machine learning. Not an easy read but very rewarding.
⭐Not found.
Keywords
Free Download Gradient Flows: In Metric Spaces and in the Space of Probability Measures (Lectures in Mathematics. ETH Zürich) 2nd Edition in PDF format
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Download Gradient Flows: In Metric Spaces and in the Space of Probability Measures (Lectures in Mathematics. ETH Zürich) 2nd Edition 2008 PDF Free
Gradient Flows: In Metric Spaces and in the Space of Probability Measures (Lectures in Mathematics. ETH Zürich) 2nd Edition 2008 PDF Free Download
Download Gradient Flows: In Metric Spaces and in the Space of Probability Measures (Lectures in Mathematics. ETH Zürich) 2nd Edition PDF
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