PASCAL XSC

Author: Rudi Klatte
Publisher: Springer Science & Business Media
ISBN: 3642772773
Format: PDF, ePub, Docs
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This manual describes a PASCAL extension for scientific computation with the short title PASCAL-XSC (PASCAL eXtension for Scientific Computation). The language is the result of a long term effort of members of the Institute for Applied Mathematics of Karlsruhe University and several associated scientists. PASCAL XSC is intended to make the computer more powerful arithmetically than usual. It makes the computer look like a vector processor to the programmer by providing the vector/matrix operations in a natural form with array data types and the usual operator symbols. Programming of algorithms is thus brought considerably closer to the usual mathematical notation. As an additional feature in PASCAL-XSC, all predefined operators for real and complex numbers and intervals, vectors, matrices, and so on, deliver an answer that differs from the exact result by at most one rounding. Numerical mathematics has devised algorithms that deliver highly accurate and automatically verified results by applying mathematical fixed point theorems. That is, these computations carry their own accuracy control. However, their imple mentation requires arithmetic and programming tools that have not been available previously. The development of PASCAL-XSC has been aimed at providing these tools within the PASCAL setting. Work on the subject began during the 1960's with the development of a general theory of computer arithmetic. At first, new algorithms for the realization of the arithmetic operations had to be developed and implemented.

Delphi in a Nutshell

Author: Ray Lischner
Publisher: "O'Reilly Media, Inc."
ISBN: 1449337317
Format: PDF, ePub
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"The bulk of the book is a complete ordered reference to the Delphi language set. Each reference item includes: the syntax, using standard code conventions; a description; a list of arguments, if any, accepted by the function or procedure; tips and tricks of usage - practical information on using the language feature in real programs; a brief example; and a cross-reference to related keywords."--Jacket.

Software Tools in Pascal

Author: Brian W. Kernighan
Publisher: Addison-Wesley Professional
ISBN:
Format: PDF
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Getting started. Filters. Files. Sorting. Text patterns. Editing. Formatting. Macro processing. Appendix: Implementation of primitives. Index.

Data Mining

Author: Ian H. Witten
Publisher: Morgan Kaufmann
ISBN: 0128043571
Format: PDF, ePub, Docs
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book

Pascal

Author: James L. Richards
Publisher:
ISBN: 9780125875226
Format: PDF, Mobi
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Consolidated Ada Reference Manual

Author: Tucker S. Taft
Publisher: Springer
ISBN: 3540453407
Format: PDF, ePub, Docs
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ISO (the International Organization for Standardization) and IEC (the International Electrotechnical 1 Commission) form the specialized system for worldwide standardization. National bodies that are members of ISO or IEC participate in the development of International Standards through technical committees established by the respective organization to deal with particular fields of technical activity. ISO and IEC technical committees collaborate in fields of mutual interest. Other international organizations, governmental and non-governmental, in liaison with ISO and IEC, also take part in the work. 2 In the field of information technology, ISO and IEC have established a joint technical committee, ISO/IEC JTC 1. Draft International Standards adopted by the joint technical committee are circulated to national bodies for voting. Publication as an International Standard requires approval by at least 75 % of the national bodies casting a vote. International Standard ISO/IEC 8652 was prepared by Joint Technical Committee ISO/IEC JTC 1, 3 Information Technology. This second edition cancels and replaces the first edition (ISO 8652:1987), of which it constitutes a 4 technical revision. Annexes A to J form an integral part of this International Standard. Annexes K to P are for information 5 only. xi 15 June 2001 Foreword ISO/IEC 8652:1995(E) with COR.1:2000 — Ada Reference Manual Introduction 1 This is the Ada Reference Manual.