Free Download Linear Differential Equations in the Complex Domain: Problems of Analytic Continuation (Translations of Mathematical Monographs) By Yasutaka Sibuya
2008 | 267 Pages | ISBN: 0821846760 | DJVU | 2 MB
Research in differential equations is usually oriented toward explicit results and motivated by applications. Many clever methods have been discovered in this way, but, when problems of more fundamental difficulty arise, researchers must find something intrinsic in the mathematics itself in order to make progress. As research in topology, algebraic geometry, and functions of several complex variables have advanced, many methods useful in such fields were introduced into the study of differential equations. The main part of this book is a translation of a 1976 book originally written in Japanese. The book, focusing attention on intrinsic aspects of the subject, explores some problems of linear ordinary differential equations in complex domains. Examples of the problems discussed include the Riemann problem on the Riemann sphere, a characterization of regular singularities, and a classification of meromorphic differential equations. Since the original book was published, many new ideas have developed, such as applications of D-modules, Gevrey asymptotics, cohomological methods, $k$-summability, and studies of differential equations containing parameters. Five appendices, added in the present edition, briefly cover these new ideas. In addition, more than 100 references have been added. This book will introduce readers to the essential facts concerning the structure of solutions of linear differential equations in the complex domain, as well as illuminate the intrinsic meaning of older results by means of more modern ideas. A useful reference for research mathematicians on various fundamental results, this book would also be suitable as a textbook in a graduate course or seminar.

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English | PDF EPUB (True) | 2023 | 174 Pages | ISBN : 3031435826 | 28.4 MB
This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or determine their energies in detectors such as those used in the NOvA neutrino experiment, which studies changes in a beam of neutrinos as it propagates approximately 800 km through the earth. NOvA relies heavily on simulations of the physics processes and the detector response; these simulations work well, but do not match the real experiment perfectly. Thus, neural networks trained on simulated datasets must include systematic uncertainties that account for possible imperfections in the simulation. This thesis presents the first application in HEP of adversarial domain generalization to a regression neural network. Applying domain generalization to problems with large systematic variations will reduce the impact of uncertainties while avoiding the risk of falsely constraining the phase space. Reducing the impact of systematic uncertainties makes NOvA analysis more robust, and improves the significance of experimental results.

Free Download Domain Adaptation and Representation Transfer: 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings by Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
English | PDF | 2023 | 180 Pages | ISBN : 3031458567 | 21 MB
This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023.

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English | 2024 | ISBN: 3031422015 | 149 Pages | PDF (True) | 10 MB

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by Knowledge Gleam
English | 18 Oct. 2023 | ISBN: 8864875433, 8864873945 | ASIN: B0CLDGG1BY | 227 Pages | PNG | 19 MB

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Free Download Domain-Driven Transformation: Monolithen und Microservices zukunftsfähig machen
Deutsch | 2023 | ISBN: 3864908841 | 569 Seiten | EPUB | 17 MB
Mit ihrer Methode Domain-Driven Transformation haben Carola Lilienthal und Henning Schwentner einen umfassenden Ansatz geschaffen, um sowohl auf strategischer als auch auf technischer und teamorganisatorischer Ebene architektonisch erodierte Softwaresysteme zu transformieren. Dabei spannen sie den Bogen von der Analyse der fachlichen Prozesse und der Zerlegung in Bounded Contexts bis hin zu Domain-Driven Refactorings und deren Umsetzung in agilen Teams. Schließlich geben sie der Leserschaft eine Anleitung, wie der Transformationsprozess abhängig vom Zustand der vorhandenen Architektur gestaltet werden sollte. Im Einzelnen werden behandelt:

Free Download Domain-Driven Design with Java - A Practitioner's Guide: Create simple, elegant, and valuable software solutions for complex business problems by Premanand Chandrasekaran, Karthik Krishnan, Neal Ford
English | August 19, 2022 | ISBN: 1800560737 | 302 pages | MOBI | 30 Mb
Adopt a practical and modern approach to architecting and implementing DDD-inspired solutions to transform abstract business ideas into working software across the entire spectrum of the software development life cycle

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