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High-Dimensional Optimization and Probability
- With a View Towards Data Science
Engelsk
Bogcover for High-Dimensional Optimization and Probability af , 9783031008313
Specifikationer
Sprog:
Engelsk
Sider:
417
ISBN-13:
9783031008313
Indbinding:
Hardback
ISBN-10:
3031008316
Udg. Dato:
5 aug 2022
Størrelse i cm:
24,1 x 16,4 x 3,0
Oplagsdato:
5 aug 2022

High-Dimensional Optimization and Probability

- With a View Towards Data Science
Engelsk
Hardback 2022
Format:

Bog beskrivelse
This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society. The discussion presents modern, state-of-the-art, research results and advances in areas including non-convex optimization, decentralized distributed convex optimization, topics on surrogate-based reduced dimension global optimization in process systems engineering, the projection of a point onto a convex set, optimal sampling for learning sparse approximations in high dimensions, the split feasibility problem, higher order embeddings, codifferentials and quasidifferentials of the expectation of nonsmooth random integrands, adjoint circuit chains associated with a random walk, analysis of the trade-off between sample size and precision in truncated ordinary least squares, spatial deep learning, efficient location-based tracking for IoT devices using compressive sensing and machine learning techniques, and nonsmooth mathematical programs with vanishing constraints in Banach spaces.

The book is a valuable source for graduate students as well as researchers working on Optimization, Probability and their various interconnections with a variety of other areas.

Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


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Specifikationer
Sprog:
Engelsk
Sider:
417
ISBN-13:
9783031008313
Indbinding:
Hardback
ISBN-10:
3031008316
Udg. Dato:
5 aug 2022
Størrelse i cm:
24,1 x 16,4 x 3,0
Oplagsdato:
5 aug 2022
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