From Geometry to Quantum Mechanics

From Geometry to Quantum Mechanics
Author: Yoshiaki Maeda
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2007-04-22
Genre: Mathematics
ISBN: 0817645306

* Invited articles in differential geometry and mathematical physics in honor of Hideki Omori * Focus on recent trends and future directions in symplectic and Poisson geometry, global analysis, Lie group theory, quantizations and noncommutative geometry, as well as applications of PDEs and variational methods to geometry * Will appeal to graduate students in mathematics and quantum mechanics; also a reference

A Perspective on Canonical Riemannian Metrics

A Perspective on Canonical Riemannian Metrics
Author: Giovanni Catino
Publisher: Springer Nature
Total Pages: 247
Release: 2020-10-23
Genre: Mathematics
ISBN: 3030571858

This book focuses on a selection of special topics, with emphasis on past and present research of the authors on “canonical” Riemannian metrics on smooth manifolds. On the backdrop of the fundamental contributions given by many experts in the field, the volume offers a self-contained view of the wide class of “Curvature Conditions” and “Critical Metrics” of suitable Riemannian functionals. The authors describe the classical examples and the relevant generalizations. This monograph is the winner of the 2020 Ferran Sunyer i Balaguer Prize, a prestigious award for books of expository nature presenting the latest developments in an active area of research in mathematics.

Finite and Infinite Dimensional Analysis in Honor of Leonard Gross

Finite and Infinite Dimensional Analysis in Honor of Leonard Gross
Author: Hui-Hsiung Kuo
Publisher: American Mathematical Soc.
Total Pages: 242
Release: 2003
Genre: Mathematics
ISBN: 0821832026

This book contains the proceedings of the special session in honor of Leonard Gross held at the annual Joint Mathematics Meetings in New Orleans (LA). The speakers were specialists in a variety of fields, and many were Professor Gross's former Ph.D. students and their descendants. Papers in this volume present results from several areas of mathematics. They illustrate applications of powerful ideas that originated in Gross's work and permeate diverse fields. Topics include stochastic partial differential equations, white noise analysis, Brownian motion, Segal-Bargmann analysis, heat kernels, and some applications. The volume should be useful to graduate students and researchers. It provides perspective on current activity and on central ideas and techniques in the topics covered.

Recent Advances in Data Science

Recent Advances in Data Science
Author: Henry Han
Publisher: Springer Nature
Total Pages: 295
Release: 2020-09-28
Genre: Computers
ISBN: 9811587604

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.