Proceedings Of The American Mathematical Society
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Automorphic Forms Representations and L Functions
Author | : Armand Borel,W. Casselman,American Mathematical Society |
Publsiher | : American Mathematical Soc. |
Total Pages | : 382 |
Release | : 1979-06-30 |
Genre | : Mathematics |
ISBN | : 9780821814376 |
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Part 2 contains sections on Automorphic representations and $L$-functions, Arithmetical algebraic geometry and $L$-functions
Functional Analysis and Semi groups
Author | : Einar Hille,Ralph Saul Phillips |
Publsiher | : American Mathematical Soc. |
Total Pages | : 808 |
Release | : 1996-02-06 |
Genre | : Banach algebras |
ISBN | : 9780821810316 |
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Early in 1952 it became obvious that a new printing would be needed, and new advances in the theory called for extensive revision. It has been completely rewritten, mostly by Phillips, and much has been added while keeping the existing framework. Thus, the algebraic tools play a major role, and are introduced early, leading to a more satisfactory operational calculus and spectral theory. The Laplace-Stieltjes transform methods, used by Hille, have not been replaced but rather supplemented by the new tools. - Foreword.
A Conversation on Professional Norms in Mathematics
Author | : Pamela E. Harris,Michael A. Hill,Dagan Karp,Emily Riehl,Mathilde Gerbelli-Gauthier |
Publsiher | : American Mathematical Soc. |
Total Pages | : 138 |
Release | : 2021-10-19 |
Genre | : Education |
ISBN | : 9781470467135 |
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The articles in this volume grew out of a 2019 workshop, held at Johns Hopkins University, that was inspired by a belief that when mathematicians take time to reflect on the social forces involved in the production of mathematics, actionable insights result. Topics range from mechanisms that lead to an inclusion-exclusion dichotomy within mathematics to common pitfalls and better alternatives to how mathematicians approach teaching, mentoring and communicating mathematical ideas. This collection will be of interest to students, faculty and administrators wishing to gain a snapshot of the current state of professional norms within mathematics and possible steps toward improvements.
Random Growth Models
Author | : Michael Damron,Firas Rassoul-Agha,Timo Seppäläinen |
Publsiher | : American Mathematical Soc. |
Total Pages | : 256 |
Release | : 2018-09-27 |
Genre | : Random measures |
ISBN | : 9781470435530 |
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The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics. This volume is based on lectures delivered at the 2017 AMS Short Course “Random Growth Models”, held January 2–3, 2017 in Atlanta, GA. The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth.
Bayesian Approach to Inverse Problems
Author | : Jérôme Idier |
Publsiher | : John Wiley & Sons |
Total Pages | : 322 |
Release | : 2013-03-01 |
Genre | : Mathematics |
ISBN | : 9781118623695 |
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Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data. Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise. Regularization is the key concept to solve inverse problems. The goal of this book is to deal with inverse problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three chapters bring the theoretical notions that make it possible to cast inverse problems within a mathematical framework. The next three chapters address the fundamental inverse problem of deconvolution in a comprehensive manner. Chapters 7 and 8 deal with advanced statistical questions linked to image estimation. In the last five chapters, the main tools introduced in the previous chapters are put into a practical context in important applicative areas, such as astronomy or medical imaging.
Collections and proceedings
Author | : Maine Historical Society |
Publsiher | : Unknown |
Total Pages | : 512 |
Release | : 1891 |
Genre | : Electronic Book |
ISBN | : MINN:31951002485580O |
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Proceedings of the American Mathematical Society
Author | : American Mathematical Society |
Publsiher | : Unknown |
Total Pages | : 518 |
Release | : 1962 |
Genre | : Electronic journals |
ISBN | : NYPL:33433063432946 |
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Contains the material formerly published in even-numbered issues of the Bulletin of the American Mathematical Society.
Semilinear Schrodinger Equations
Author | : Thierry Cazenave |
Publsiher | : American Mathematical Soc. |
Total Pages | : 346 |
Release | : 2003 |
Genre | : Schrödinger equation |
ISBN | : 9780821833995 |
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The nonlinear Schrodinger equation has received a great deal of attention from mathematicians, particularly because of its applications to nonlinear optics. This book presents various mathematical aspects of the nonlinear Schrodinger equation. It studies both problems of local nature and problems of global nature.