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Titlebook: Smooth Manifolds and Observables; Jet Nestruev Textbook 2020Latest edition Springer Nature Switzerland AG 2020 Smooth manifolds.Smooth man

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发表于 2025-3-21 18:21:24 | 显示全部楼层 |阅读模式
书目名称Smooth Manifolds and Observables
编辑Jet Nestruev
视频video
概述Motivates the algebraic study of smooth manifolds by looking at them from the point of view of physics, in particular by using the observability principle.Bridges between ideas from physics, geometry,
丛书名称Graduate Texts in Mathematics
图书封面Titlebook: Smooth Manifolds and Observables;  Jet Nestruev Textbook 2020Latest edition Springer Nature Switzerland AG 2020 Smooth manifolds.Smooth man
描述This textbook demonstrates how differential calculus, smooth manifolds, and commutative algebra constitute a unified whole, despite having arisen at different times and under different circumstances. Motivating this synthesis is the mathematical formalization of the process of observation from classical physics. A broad audience will appreciate this unique approach for the insight it gives into the underlying connections between geometry, physics, and commutative algebra..The main objective of this book is to explain how differential calculus is a natural part of commutative algebra. This is achieved by studying the corresponding algebras of smooth functions that result in a general construction of the differential calculus on various categories of modules over the given commutative algebra. It is shown in detail that the ordinary differential calculus and differential geometry on smooth manifolds turns out to be precisely the particular case that corresponds to the category of geometric modules over smooth algebras. This approach opens the way to numerous applications, ranging from delicate questions of algebraic geometry to the theory of elementary particles..Smooth Manifolds and
出版日期Textbook 2020Latest edition
关键词Smooth manifolds; Smooth manifold theory; Observables; Observability; differential geometry smooth manif
版次2
doihttps://doi.org/10.1007/978-3-030-45650-4
isbn_softcover978-3-030-45652-8
isbn_ebook978-3-030-45650-4Series ISSN 0072-5285 Series E-ISSN 2197-5612
issn_series 0072-5285
copyrightSpringer Nature Switzerland AG 2020
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发表于 2025-3-21 21:41:07 | 显示全部楼层
Jet Nestruev addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that iswidely misunderstood, under-represented in the academic literature and requires immediate expert attention..978-3-030-91587-2978-3-030-91585-8Series ISSN 1613-5113 Series E-ISSN 2363-9466
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发表于 2025-3-22 07:08:50 | 显示全部楼层
0072-5285 of geometric modules over smooth algebras. This approach opens the way to numerous applications, ranging from delicate questions of algebraic geometry to the theory of elementary particles..Smooth Manifolds and978-3-030-45652-8978-3-030-45650-4Series ISSN 0072-5285 Series E-ISSN 2197-5612
发表于 2025-3-22 10:56:06 | 显示全部楼层
help readers gain a comprehensive understanding of this promising area. We start with the basic concepts of traditional RSs and their limitations due to the lack of causal reasoning ability. We then discuss how different causal inference techniques can be introduced to address these challenges, with
发表于 2025-3-22 16:49:20 | 显示全部楼层
Jet Nestruevon, they also come with a lot of new topics and new research questions. In view of the latest research efforts in the causal inference field, in this chapter, we provide a comprehensive discussion of challenges and opportunities for the three core components of the treatment effect estimation task,
发表于 2025-3-22 20:49:24 | 显示全部楼层
Jet Nestruevn which part of the model pipeline we are at. In this chapter, we will learn how causality-aware domain generalization methods differ from traditional domain generalization methods, how and when causality is used to infer invariant features, and how these methods have been applied to vision, graphs,
发表于 2025-3-22 21:59:57 | 显示全部楼层
Jet Nestruev challenges and benefits. Research in this area can promote the understanding of causality in complex systems with connected data points. In this chapter, we introduce the background of causal inference on graphs, envision the main challenges, and show some future directions in this area. Especially
发表于 2025-3-23 01:57:36 | 显示全部楼层
Jet Nestruev challenges and benefits. Research in this area can promote the understanding of causality in complex systems with connected data points. In this chapter, we introduce the background of causal inference on graphs, envision the main challenges, and show some future directions in this area. Especially
发表于 2025-3-23 06:30:46 | 显示全部楼层
Jet Nestruevce utilization to achieve cost efficiency. This chapter will discuss how to use Machine Learning (ML) techniques to alleviate the complexity of such tasks. Despite of several advantages of ML-based resource provisioning systems, researchers substantiated that ML brings new security challenges, such
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