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Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

BooksJournals

    • Cognitive Computing: Theory and Applications

      • 1st Edition
      • Volume 35
      • September 9, 2016
      • Vijay V Raghavan + 3 more
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 7 4 4 4
      • eBook
        9 7 8 0 4 4 4 6 3 7 5 1 2
      Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface.

    • Introduction to Robust Estimation and Hypothesis Testing

      • 4th Edition
      • September 2, 2016
      • Rand R. Wilcox
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 7 3 3 0
      • eBook
        9 7 8 0 1 2 8 0 4 7 8 1 1
      Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised content Covers many new and improved R functions New techniques that deal with a wide range of situations

    • Biostatistics and Computer-based Analysis of Health Data using Stata

      • 1st Edition
      • August 24, 2016
      • Christophe Lalanne + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 1 4 2 0
      • eBook
        9 7 8 0 0 8 1 0 1 0 8 4 6
      This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands.

    • Theory and Computation of Tensors

      • 1st Edition
      • August 12, 2016
      • Yimin Wei + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 9 5 3 3
      • eBook
        9 7 8 0 1 2 8 0 3 9 8 0 9
      Theory and Computation of Tensors: Multi-Dimensional Arrays investigates theories and computations of tensors to broaden perspectives on matrices. Data in the Big Data Era is not only growing larger but also becoming much more complicated. Tensors (multi-dimensional arrays) arise naturally from many engineering or scientific disciplines because they can represent multi-relational data or nonlinear relationships.

    • Fractal Functions, Fractal Surfaces, and Wavelets

      • 2nd Edition
      • August 9, 2016
      • Peter R. Massopust
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 4 0 8 7
      • eBook
        9 7 8 0 1 2 8 0 4 4 7 0 4
      Fractal Functions, Fractal Surfaces, and Wavelets, Second Edition, is the first systematic exposition of the theory of local iterated function systems, local fractal functions and fractal surfaces, and their connections to wavelets and wavelet sets. The book is based on Massopust’s work on and contributions to the theory of fractal interpolation, and the author uses a number of tools—including analysis, topology, algebra, and probability theory—to introduce readers to this exciting subject. Though much of the material presented in this book is relatively current (developed in the past decades by the author and his colleagues) and fairly specialized, an informative background is provided for those entering the field. With its coherent and comprehensive presentation of the theory of univariate and multivariate fractal interpolation, this book will appeal to mathematicians as well as to applied scientists in the fields of physics, engineering, biomathematics, and computer science. In this second edition, Massopust includes pertinent application examples, further discusses local IFS and new fractal interpolation or fractal data, further develops the connections to wavelets and wavelet sets, and deepens and extends the pedagogical content.

    • Random Operator Theory

      • 1st Edition
      • August 4, 2016
      • Reza Saadati
      • English
      • Hardback
        9 7 8 0 1 2 8 0 5 3 4 6 1
      • eBook
        9 7 8 0 0 8 1 0 0 9 5 5 0
      Random Operator Theory provides a comprehensive discussion of the random norm of random bounded linear operators, also providing important random norms as random norms of differentiation operators and integral operators. After providing the basic definition of random norm of random bounded linear operators, the book then delves into the study of random operator theory, with final sections discussing the concept of random Banach algebras and its applications.

    • Annual Review in Automatic Programming

      • 1st Edition
      • July 29, 2016
      • Richard Goodman
      • English
      • Paperback
        9 7 8 1 4 8 3 2 0 9 3 9 5
      • eBook
        9 7 8 1 4 8 3 2 2 2 8 2 0
      Annual Review in Automatic Programming, Volume 2 is a collection of papers that discusses the controversy about the suitability of COBOL as a common business oriented language, and the development of different common languages for scientific computation. A couple of papers describes the use of the Genie system in numerical calculation and analyzes Mercury autocode in terms of a phrase structure language, such as in the source language, target language, the order structure of ATLAS, and the meta-syntactical language of the assembly program. Other papers explain interference or an "intermediate return" using ALGOL, the National-Elliot 803 Computer, and the MADCAP II. MADCAP II is A version of the automatic programming compiler for MANIAC II. One paper discusses the APT which serves as a common computer language for computational problems. Another paper explains SAKO which can bypass machine language almost entirely in the field of numerical and logical problems, particularly in programs using XYZ and ZAM II. A report of the Working Committee of the British Computer Society Discussion Group No. 5 concludes that COBOL is unnecessarily complex due to its close machine orientation. Computer engineers, computer instructors, programmers, and students of computer science will find the collection highly valuable.

    • Practical Business Statistics

      • 7th Edition
      • July 29, 2016
      • Andrew F. Siegel
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 2 5 0 2
      • eBook
        9 7 8 0 1 2 8 1 1 1 7 5 8
      Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.

    • Analytical Solution Methods for Boundary Value Problems

      • 1st Edition
      • July 15, 2016
      • A.S. Yakimov
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 2 8 9 2
      • eBook
        9 7 8 0 1 2 8 0 4 3 6 3 9
      Analytical Solution Methods for Boundary Value Problems is an extensively revised, new English language edition of the original 2011 Russian language work, which provides deep analysis methods and exact solutions for mathematical physicists seeking to model germane linear and nonlinear boundary problems. Current analytical solutions of equations within mathematical physics fail completely to meet boundary conditions of the second and third kind, and are wholly obtained by the defunct theory of series. These solutions are also obtained for linear partial differential equations of the second order. They do not apply to solutions of partial differential equations of the first order and they are incapable of solving nonlinear boundary value problems. Analytical Solution Methods for Boundary Value Problems attempts to resolve this issue, using quasi-linearization methods, operational calculus and spatial variable splitting to identify the exact and approximate analytical solutions of three-dimensional non-linear partial differential equations of the first and second order. The work does so uniquely using all analytical formulas for solving equations of mathematical physics without using the theory of series. Within this work, pertinent solutions of linear and nonlinear boundary problems are stated. On the basis of quasi-linearization, operational calculation and splitting on spatial variables, the exact and approached analytical solutions of the equations are obtained in private derivatives of the first and second order. Conditions of unequivocal resolvability of a nonlinear boundary problem are found and the estimation of speed of convergence of iterative process is given. On an example of trial functions results of comparison of the analytical solution are given which have been obtained on suggested mathematical technology, with the exact solution of boundary problems and with the numerical solutions on well-known methods.

    • Biostatistics and Computer-based Analysis of Health Data using R

      • 1st Edition
      • July 11, 2016
      • Christophe Lalanne + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 8 8 1
      • eBook
        9 7 8 0 0 8 1 0 1 1 7 5 1
      Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software.

Related subjects

Mathematics and applied mathematics

Statistics and probability