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These autobiographical memoirs of Neal Koblitz, coinventor of one of the two most popular forms of encryption and digital signature, cover many topics besides his own personal career in mathematics and cryptography - travels to the Soviet Union, Latin America, Vietnam and elsewhere, political activism, and academic controversies relating to math education, the C. P. Snow two-culture problem, and mistreatment of women in academia. The stories speak for themselves and reflect the experiences of a student and later a scientist caught up in the tumultuous events of his generation.

Mathematics. --- History of Mathematics. --- Number Theory. --- Data Encryption. --- Data Structures, Cryptology and Information Theory. --- Data structures (Computer science). --- Data encryption (Computer science). --- Mathematics_$xHistory. --- Number theory. --- Mathématiques --- Structures de données (Informatique) --- Chiffrement (Informatique) --- Théorie des nombres --- Koblitz, Neal. --- Mathematicians --- World politics --- Mathematics - General --- Mathematics --- Physical Sciences & Mathematics --- Koblitz, Neal, --- Travel. --- Koblit︠s︡, N., --- Koblitz, Neal I. --- History. --- History of Mathematical Sciences.

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Open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.

Bioinformatics --- Computational biology --- Data mining --- Bio-informatique --- Exploration de données (Informatique) --- Periodicals. --- Périodiques --- Computational Biology. --- Bioinformatics. --- Computational biology. --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Bio-informatics --- Biological informatics --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- data mining --- machine learning algorithms --- large scale data analysis --- Database searching --- Biology --- Information science --- Systems biology --- Genomics --- Data processing --- Data Mining. --- Biomedicine. --- Mathematical analysis --- Human medicine --- Computer. Automation --- Computational Chemistry --- Biology - General

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Information is an important feature of the modern world. Mathematical techniques underlie the devices that we use to handle it, for example, mobile phones, digital cameras, and personal computers. This book is an integrated introduction to the mathematics of coding, that is, replacing information expressed in symbols, such as a natural language or a sequence of bits, by another message using (possibly) different symbols. There are three main reasons for doing this: economy, reliability, and security, and each is covered in detail. Only a modest mathematical background is assumed, the mathematical theory being introduced at a level that enables the basic problems to be stated carefully, but without unnecessary abstraction. Other features include: clear and careful exposition of fundamental concepts, including optimal coding, data compression, and public-key cryptography; concise but complete proofs of results; coverage of recent advances of practical interest, for example in encryption standards, authentication schemes, and elliptic curve cryptography; numerous examples and exercises, and a full solutions manual available to lecturers from www.springer.com This modern introduction to all aspects of coding is suitable for advanced undergraduate or postgraduate courses in mathematics, computer science, electrical engineering, or informatics. It is also useful for researchers and practitioners in related areas of science, engineering and economics.

Mathematics. --- Combinatorics. --- Coding and Information Theory. --- Communications Engineering, Networks. --- Number Theory. --- Information and Communication, Circuits. --- Data Structures, Cryptology and Information Theory. --- Data structures (Computer science). --- Coding theory. --- Number theory. --- Telecommunication. --- Mathématiques --- Structures de données (Informatique) --- Codage --- Théorie des nombres --- Télécommunications --- Cryptography --- Cryptography. --- Coding theory --- Mathematics --- Physical Sciences & Mathematics --- Algebra --- Cryptanalysis --- Cryptology --- Secret writing --- Steganography --- Computer science. --- Information theory. --- Electrical engineering. --- Computer Science. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Signs and symbols --- Symbolism --- Writing --- Ciphers --- Data encryption (Computer science) --- Data structures (Computer scienc. --- Data Structures and Information Theory. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Math --- Science --- Number study --- Numbers, Theory of --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Telecommuting --- Combinatorics --- Mathematical analysis --- Electric engineering --- Engineering --- Communication theory --- Cybernetics

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"In Mechanisms, Matthew Kirschenbaum examines new media and electronic writing against the textual and technological primitives that govern writing, inscription, and textual transmission in all media: erasure, variability, repeatability, and survivability. Mechanisms is the first book in its field to devote significant attention to storage--the hard drive in particular--arguing that understanding the affordances of storage devices is essential to understanding new media. Drawing a distinction between 'forensic materiality' and 'formal materiality,' Kirschenbaum uses applied computer forensics techniques in his study of new media works. Just as the humanities discipline of textual studies examines books as physical objects and traces different variants of texts, computer forensics encourage us to perceive new media in terms of specific versions, platforms, systems, and devices. Kirschenbaum demonstrates these techniques in media-specific readings of three landmark works of new media and electronic literature, all from the formative era of personal computing: the interactive fiction game Mystery House, Michael Joyce's Afternoon: A Story, and William Gibson's electronic poem 'Agrippa'"--Provider website.

Mass media --- Mass media and language. --- Discourse analysis --- Computer storage devices. --- Data recovery (Computer science) --- Médias --- Médias et langage --- Analyse du discours --- Ordinateurs --- Récupération des données (Informatique) --- Technological innovations. --- Data processing. --- Innovations --- Informatique --- Mémoires --- Gibson, William, --- Joyce, Michael, --- Mass media and language --- Computer storage devices --- Technological innovations --- Data processing --- Data recovery (Computer science). --- Médias --- Médias et langage --- Récupération des données (Informatique) --- Mémoires --- Data reconstruction (Computer science) --- Reconstruction, Data (Computer science) --- Recovery, Data (Computer science) --- Electronic data processing --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Language and mass media --- Language and languages --- Memory systems --- Storage devices --- Mass media - Technological innovations --- Discourse analysis - Data processing --- Gibson, William, - 1948- - Agrippa --- Joyce, Michael, - 1945- - Afternoon --- DIGITAL HUMANITIES & NEW MEDIA/New Media Theory --- SCIENCE, TECHNOLOGY & SOCIETY/General --- SOCIAL SCIENCES/Media Studies

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Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments in the area; (iii) interspersing R code that enables the reader to learn the methods, to carry out their own analyses, and further develop their own ideas. The book code is designed to work with the freeware R package WaveThresh4, but the book can be read independently of R. The book introduces the wavelet transform by starting with the simple Haar wavelet transform, and then builds to consider more general wavelets, complex-valued wavelets, non-decimated transforms, multidimensional wavelets, multiple wavelets, wavelet packets, boundary handling, and initialization. Later chapters consider a variety of wavelet-based nonparametric regression methods for different noise models and designs including density estimation, hazard rate estimation, and inverse problems; the use of wavelets for stationary and non-stationary time series analysis; and how wavelets might be used for variance estimation and intensity estimation for non-Gaussian sequences. The book is aimed both at Masters/Ph.D. students in a numerate discipline (such as statistics, mathematics, economics, engineering, computer science, and physics) and postdoctoral researchers/users interested in statistical wavelet methods. Guy Nason is Professor of Statistics at the University of Bristol. He has been actively involved in the development of various wavelet methods in statistics since 1993. He was awarded the Royal Statistical Society’s 2001 Guy Medal in Bronze for work on wavelets in statistics. He was the author of the first, free, generally available wavelet package for statistical purposes in S and R (WaveThresh2).

Programming --- Mathematical statistics --- Statistics. --- Statistical Theory and Methods. --- Econometrics. --- Bioinformatics. --- Psychometrics. --- Data Mining and Knowledge Discovery. --- Data mining. --- Mathematical statistics. --- Statistique --- Exploration de données (Informatique) --- Bio-informatique --- Statistique mathématique --- Econométrie --- Psychométrie --- Wavelets (Mathematics) --- R (Computer program language) --- Statistics --- Data mining --- Bioinformatics --- Econometrics --- Psychometrics --- R (Computer program language). --- Wavelets (Mathematics). --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Operations Research --- Mathematical Statistics --- Logiciel --- Computer software --- Méthode statistique --- Statistical methods --- Modèle mathématique --- Mathematical models --- Traitement des données --- Data processing --- Analyse de séries chronologiques --- Time series analysis --- GNU-S (Computer program language) --- Statistical inference --- Statistics, Mathematical --- Wavelet analysis --- Distribution (Probability theory. --- Probability Theory and Stochastic Processes. --- Probabilities --- Sampling (Statistics) --- Domain-specific programming languages --- Harmonic analysis --- Economics, Mathematical --- Distribution functions --- Frequency distribution --- Characteristic functions --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Measurement --- Scaling --- Methodology --- Probabilities. --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Probability --- Combinations --- Chance --- Least squares --- Risk