Guide to Information Sources in Mathematics and Statistics

The other is Anderson's A Guide to Library Service in Mathematics: The Non-Trivial Mathematics Librarian (JAI Press, 1993). One of the chapters in this book is a comprehensive annotated bibliography of in-print mathematics books ...

Author: Martha A. Tucker

Publisher: ABC-CLIO

ISBN: 9780313053375

Category: Language Arts & Disciplines

Page: 368

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This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.

Composing Software Components

A collection of subroutines is called a 'library,' and includes not only code but documentation. ... needs (for example) Γ-functions, and writing a mathematical library is a non-trivial task that requires great skill and knowledge.

Author: Dick Hamlet

Publisher: Springer Science & Business Media

ISBN: 9781441971487

Category: Computers

Page: 368

View: 464

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Software components and component-based software development (CBSD) are acknowledged as the best approach for constructing quality software at reasonable cost. Composing Software Components: A Software-testing Perspective describes a 10-year investigation into the underlying principles of CBSD. By restricting attention to the simplest cases, startling results are obtained: • Components are tested using only executable code. Their behavior is recorded and presented graphically. • Functional and non-functional behavior of systems synthesized from components are calculated from component tests alone. No access to components themselves is required. • Fast, accurate tools support every aspect of CBSD from design through debugging. Case studies of CBSD also illuminate software testing in general, particularly an expanded role for unit testing and the treatment of non-functional software properties. This unique book: • Contains more than a dozen case studies of fully worked-out component synthesis, with revealing insights into fundamental testing issues. • Presents an original, fundamental theory of component composition that includes persistent state and concurrency, based on functional software testing rather than proof-of-programs. • Comes with free supporting software with tutorial examples and data for replication of examples. The Perl software has been tested on Linux, Macintosh, and Windows platforms. Full documentation is provided. • Includes anecdotes and insights from the author’s 50-year career in computing as systems programmer, manager, researcher, and teacher. Composing Software Components: A Software-testing Perspective will help software researchers and practitioners to understand the underlying principles of component testing. Advanced students in computer science, engineering, and mathematics can also benefit from the book as a supplemental text and reference.

Routledge Library Editions Artificial Intelligence

For a machine to solve any non - trivial problem of mathematics or logic , it must be capable of carrying out a finite series of steps without any non - mechanical intervention , such as that of a human operator being called upon to ...

Author: Various

Publisher: Routledge

ISBN: 9780429960680

Category: Computers

Page: 2724

View: 815

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"Artificial Intelligence" (AI) a term coined in the 1950s actually dates back as far as 1943. Now very much in the public consciousness, AI research has fallen in and out of favour over the years. Routledge Library Editions: Artificial Intelligence (10 Volumes) brings together as one set, or individual volumes, a small interdisciplinary series of previously out-of-print titles, originally published between 1970 and 1994. Covering ground in computer science, literature, philosophy, psychology, psychotherapy and sociology, this set is a fascinating insight into the development of ideas surrounding AI.

Intelligent Computer Mathematics

... like natural numbers, matching them between libraries is often straightforward, because of mathematical naming conventions. However, for more advanced concepts, finding similar formalizations in different libraries is a non-trivial ...

Author: Stephen M. Watt

Publisher: Springer

ISBN: 9783319084343

Category: Computers

Page: 460

View: 575

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This book constitutes the joint refereed proceedings of Calculemus 2014, Digital Mathematics Libraries, DML 2014, Mathematical Knowledge Management, MKM 2014 and Systems and Projects, S&P 2014, held in Coimbra, Portugal, during July 7-11, 2014 as four tracks of CICM 2014, the Conferences on Intelligent Computer Mathematics. The 26 full papers and 9 Systems and Projects descriptions presented together with 5 invited talks were carefully reviewed and selected from a total of 55 submissions. The Calculemus track of CICM examines the integration of symbolic computation and mechanized reasoning. The Digital Mathematics Libraries track - evolved from the DML workshop series - features math-aware technologies, standards, algorithms and processes towards the fulfillment of the dream of a global DML. The Mathematical Knowledge Management track of CICM is concerned with all aspects of managing mathematical knowledge in the informal, semi-formal and formal settings. The Systems and Projects track presents short descriptions of existing systems or on-going projects in the areas of all the other tracks of the conference.

Machine Learning for Developers

If we had to choose a definitive must-use library for use in this book, and a non-trivial mathematical application written in Python, it would have to be NumPy. This library will help us implement applications using statistics and ...

Author: Rodolfo Bonnin

Publisher: Packt Publishing Ltd

ISBN: 9781786466969

Category: Computers

Page: 270

View: 685

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Your one-stop guide to becoming a Machine Learning expert. About This Book Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning A highly practical guide explaining the concepts of problem solving in the easiest possible manner Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to know what Machine Learning is and is keen to use Machine Learning to make their day-to-day apps fast, high performing, and accurate. Any developer who wants to enter the field of Machine Learning can effectively use this book as an entry point. What You Will Learn Learn the math and mechanics of Machine Learning via a developer-friendly approach Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems Get a feel for advanced concepts, using popular programming frameworks. Prepare yourself and other developers for working in the new ubiquitous field of Machine Learning Get an overview of the most well known and powerful tools, to solve computing problems using Machine Learning. Get an intuitive and down-to-earth introduction to current Machine Learning areas, and apply these concepts on interesting and cutting-edge problems. In Detail Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications. Style and approach This book gives you a glimpse of Machine Learning Models and the application of models at scale using clustering, classification, regression and reinforcement learning with fun examples. Hands-on examples will be presented to understand the power of problem solving with Machine Learning and Advanced architectures, software installation, and configuration.

Intelligent Computer Mathematics

Overview of licenses of selected (formal) mathematical libraries Library (System) License Coq Standard Library (Coq) ... Also note that the licensing differences between the formal libraries can already now cause nontrivial problems.

Author: James H. Davenport

Publisher: Springer

ISBN: 9783642226731

Category: Computers

Page: 312

View: 697

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This book constitutes the joint refereed proceedings of three international events, namely the 18th Symposium on the Integration of Symbolic Computation and Mechanized Reasoning, Calculemus 2011, the 10th International Conference on Mathematical Knowledge Management, MKM 2011, and a new track on Systems and Projects descriptions that span both the Calculemus and MKM topics, all held in Bertinoro, Italy, in July 2011. All 51 submissions passed through a rigorous review process. A total of 15 papers were submitted to Calculemus, of which 9 were accepted. Systems and Projects track 2011 there have been 12 papers selected out of 14 submissions while MKM 2011 received 22 submissions, of which 9 were accepted for presentation and publication. The events focused on the use of AI techniques within symbolic computation and the application of symbolic computation to AI problem solving; the combination of computer algebra systems and automated deduction systems; and mathematical knowledge management, respectively.

Library Office Notes

Election Alert It will soon be necessary to elect new members to the Library Executive Committee . ... a new book entitled A Guide to Library Services in Mathematics : The Non - trivial Mathematics Librarian , published by JAI Press .

Author: University of Illinois at Urbana-Champaign. Library

Publisher:

ISBN: UIUC:30112018787397

Category: Academic libraries

Page: 844

View: 229

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The Unimaginable Mathematics of Borges Library of Babel

no smallest integer at which they differ. ... Although this sounds relatively innocuous, the constructivist school of mathematicians raises nontrivial objections to the well-ordering principle and the theorems which spring from it.

Author: William Goldbloom Bloch

Publisher: Oxford University Press

ISBN: 9780195334579

Category: Literary Criticism

Page: 192

View: 559

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Combinatorics -- Topology and cosmology -- Information theory -- Geometry and Graph Theory -- Real Analysis -- More Combinatorics -- A Homomorphism

Developing a 21st Century Global Library for Mathematics Research

National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on ... Thisis not trivial, and it isillustrative of the maintenance problemfor Webbased data.

Author: National Research Council

Publisher: National Academies Press

ISBN: 9780309298513

Category: Mathematics

Page: 142

View: 974

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Like most areas of scholarship, mathematics is a cumulative discipline: new research is reliant on well-organized and well-curated literature. Because of the precise definitions and structures within mathematics, today's information technologies and machine learning tools provide an opportunity to further organize and enhance discoverability of the mathematics literature in new ways, with the potential to significantly facilitate mathematics research and learning. Opportunities exist to enhance discoverability directly via new technologies and also by using technology to capture important interactions between mathematicians and the literature for later sharing and reuse. Developing a 21st Century Global Library for Mathematics Research discusses how information about what the mathematical literature contains can be formalized and made easier to express, encode, and explore. Many of the tools necessary to make this information system a reality will require much more than indexing and will instead depend on community input paired with machine learning, where mathematicians' expertise can fill the gaps of automatization. This report proposes the establishment of an organization; the development of a set of platforms, tools, and services; the deployment of an ongoing applied research program to complement the development work; and the mobilization and coordination of the mathematical community to take the first steps toward these capabilities. The report recommends building on the extensive work done by many dedicated individuals under the rubric of the World Digital Mathematical Library, as well as many other community initiatives. Developing a 21st Century Global Library for Mathematics envisions a combination of machine learning methods and community-based editorial effort that makes a significantly greater portion of the information and knowledge in the global mathematical corpus available to researchers as linked open data through a central organizational entity-referred to in the report as the Digital Mathematics Library. This report describes how such a library might operate - discussing development and research needs, role in facilitating discover and interaction, and establishing partnerships with publishers.