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Mathematical Principles of Topological and Geometric Data Analysis
  • Language: en
  • Pages: 287

Mathematical Principles of Topological and Geometric Data Analysis

This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory and network analysis, it goes on to describe and analyze some of the most important machine learning techniques for dimension reduction, including the different types of manifold learning and kernel methods. It also develops a new notion of curvature of generalized metric spaces, based on the notion of hyperconvexity, which can be used for the topological representation of geometric information. In recent years there has been a fas...

Bernhard Riemann — On the Hypotheses Which Lie at the Bases of Geometry
  • Language: en
  • Pages: 196

Bernhard Riemann — On the Hypotheses Which Lie at the Bases of Geometry

This book presents William Clifford’s English translation of Bernhard Riemann’s seminal text, accompanied by detailed mathematical, historical, and philosophical commentary. It explores Riemann’s revolutionary ideas on space, placing them within the broader framework developed by later thinkers such as Helmholtz, Ricci, Weyl, and Einstein. A historical introduction situates Riemann’s work in its 19th-century context, while subsequent chapters trace the evolution of the concept of space across philosophy, physics, and mathematics, and examine its enduring influence up to modern research. The second edition includes expanded mathematical commentary, a new section on metric geometry and machine learning, a systematic bibliography, and numerous updates throughout. Appealing to mathematicians, historians, and readers with an interest in physics or philosophy, this book provides a comprehensive perspective on Riemann’s groundbreaking contributions and their lasting impact.

Data Visualization with Category Theory and Geometry
  • Language: en
  • Pages: 281

Data Visualization with Category Theory and Geometry

This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general and Riemannian geometry in particular, and category theory. Presenting a list of examples consisting of both geometric objects and empirical datasets, this book provides insights into the different effects of dimensionality reduction techniques on data representation and visualization, with the aim of guiding the reader in understanding the expected results specific to each method in such scenarios. As a showcase, the dimensionality reduction method of “Uniform Manifold Approximation and ...

Mathematics Going Forward
  • Language: en
  • Pages: 629

Mathematics Going Forward

This volume is an original collection of articles by 44 leading mathematicians on the theme of the future of the discipline. The contributions range from musings on the future of specific fields, to analyses of the history of the discipline, to discussions of open problems and conjectures, including first solutions of unresolved problems. Interestingly, the topics do not cover all of mathematics, but only those deemed most worthy to reflect on for future generations. These topics encompass the most active parts of pure and applied mathematics, including algebraic geometry, probability, logic, optimization, finance, topology, partial differential equations, category theory, number theory, differential geometry, dynamical systems, artificial intelligence, theory of groups, mathematical physics and statistics.

Bernhard Riemann - Über die Hypothesen, welche der Geometrie zu Grunde liegen
  • Language: de
  • Pages: 244

Bernhard Riemann - Über die Hypothesen, welche der Geometrie zu Grunde liegen

Die Geburtsstunde der modernen Geometrie war am 10.06.1854, als Bernhard Riemann in seinem Habilitationsvortrag differenzierbare Mannigfaltigkeiten, Riemannsche Metriken, Schnittkrümmungen und Normalkoordinaten einführte. Die Riemannsche Geometrie ist nicht nur eines der wichtigsten Forschungsgebiete der heutigen Mathematik, sondern führte auch zu einem völlig neuen Raumverständnis und bildet die Grundlage der modernen Physik, von der Allgemeinen Relativitätstheorie Einsteins bis zur Quantenfeldtheorie. Die Riemannsche Geometrie inspiriert auch wichtige Verfahren des Maschinellen Lernens. Im vorliegenden Werk wird dieser klassische Text der Mathematik umfassend historisch, mathematisch...