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Introduction to Assembly Language Programming / Sivarama P. DANDAMUDI 

Public ISBD Titre : Introduction to Assembly Language Programming : For Pentium and RISC processors Type de document : texte imprimé Auteurs : Sivarama P. DANDAMUDI, Auteur Mention d'édition : 2nd ed. Editeur : Springer Science + Business Media, Inc. Année de publication : 2004 Importance : xxii, 690 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-0-387-20636-3 Note générale : Introduction to Assembly Language Programming : For Pentium and RISC Processors 2nd This updated textbook introduces readers to assembly and its evolving role in computer programming and design. The author concentrates the revised edition on protected-mode Pentium programming, MIPS assembly language programming, and use of the NASM and SPIM assemblers for a Linux orientation. The focus is on providing students with a firm grasp of the main features of assembly programming, and how it can be used to improve a computer's performance. All of the main features are covered in depth, and the book is equally viable for DOS or Linux, MIPS (RISC) or CISC (Pentium). The book is based on a successful course given by the author and includes numerous hands-on exercises. Langues : Anglais (eng) Catégories : 000 Généralités:Programmation, programmes, organisation des données, logiciel:Programmation Mots-clés : Assembler language(Computerprogram language. Microprocessors-Programming Index. décimale : 005.1 En ligne : http://www.directtextbook.com/isbn/9780387206363 Introduction to Assembly Language Programming [texte imprimé] : For Pentium and RISC processors / Sivarama P. DANDAMUDI, Auteur  . -  2nd ed. . - [S.l.] : Springer Science + Business Media, Inc., 2004 . - xxii, 690 p. : ill. ; 26 cm. ISBN : 978-0-387-20636-3 Introduction to Assembly Language Programming : For Pentium and RISC Processors 2nd This updated textbook introduces readers to assembly and its evolving role in computer programming and design. The author concentrates the revised edition on protected-mode Pentium programming, MIPS assembly language programming, and use of the NASM and SPIM assemblers for a Linux orientation. The focus is on providing students with a firm grasp of the main features of assembly programming, and how it can be used to improve a computer's performance. All of the main features are covered in depth, and the book is equally viable for DOS or Linux, MIPS (RISC) or CISC (Pentium). The book is based on a successful course given by the author and includes numerous hands-on exercises. Langues : Anglais (eng) Catégories : 000 Généralités:Programmation, programmes, organisation des données, logiciel:Programmation Mots-clés : Assembler language(Computerprogram language. Microprocessors-Programming Index. décimale : 005.1 En ligne : http://www.directtextbook.com/isbn/9780387206363

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More math into LaTeX / George A. GRATZER

Public ISBD Titre : More math into LaTeX Type de document : texte imprimé Auteurs : George A. GRATZER, Auteur Mention d'édition : 4th ed. Editeur : Springer Science + Business Media, Inc. Année de publication : 2007 Importance : 619 p. Présentation : ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-387-32289-6 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : 686.2 Printing Mots-clés : Mathematics printing--Computer programs Index. décimale : 686.2 More math into LaTeX [texte imprimé] / George A. GRATZER, Auteur  . -  4th ed. . - [S.l.] : Springer Science + Business Media, Inc., 2007 . - 619 p. : ill. ; 24 cm.. ISBN : 978-0-387-32289-6 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : 686.2 Printing Mots-clés : Mathematics printing--Computer programs Index. décimale : 686.2

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The elements of statistical learning / Trevor Hastie

Public ISBD Titre : The elements of statistical learning : data mining, inference, and prediction Type de document : texte imprimé Auteurs : Trevor Hastie, Auteur; Robert Tibshirani, Auteur Mention d'édition : second edition Editeur : Springer Science + Business Media, Inc. Année de publication : 2017 Importance : xxii, 745 pages Présentation : illustrations (some colors) Format : 24 cm ISBN/ISSN/EAN : 978-0-387-84857-0 Langues : Anglais (eng) Catégories : 000 Généralités:006.31 Machine Learning Mots-clés : The elements of statistical learning Index. décimale : 006.312 Résumé : "During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics."--Jacket The elements of statistical learning [texte imprimé] : data mining, inference, and prediction / Trevor Hastie, Auteur; Robert Tibshirani, Auteur  . -  second edition . - [S.l.] : Springer Science + Business Media, Inc., 2017 . - xxii, 745 pages : illustrations (some colors) ; 24 cm. ISBN : 978-0-387-84857-0 Langues : Anglais (eng) Catégories : 000 Généralités:006.31 Machine Learning Mots-clés : The elements of statistical learning Index. décimale : 006.312 Résumé : "During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics."--Jacket

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