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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

    • Big Data Analytics

      • 1st Edition
      • Volume 33
      • July 7, 2015
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 4 9 2 4
      • eBook
        9 7 8 0 4 4 4 6 3 4 9 7 9
      While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by "Big Data" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions.

    • Essential Statistics, Regression, and Econometrics

      • 2nd Edition
      • June 8, 2015
      • Gary Smith
      • English
      • Hardback
        9 7 8 0 1 2 8 0 3 4 5 9 0
      • eBook
        9 7 8 0 1 2 8 0 3 4 9 2 7
      Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometr... and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life.

    • Advances in Independent Component Analysis and Learning Machines

      • 1st Edition
      • April 15, 2015
      • Ella Bingham + 3 more
      • English
      • Hardback
        9 7 8 0 1 2 8 0 2 8 0 6 3
      • eBook
        9 7 8 0 1 2 8 0 2 8 0 7 0
      In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval

    • Introduction to Actuarial and Financial Mathematical Methods

      • 1st Edition
      • April 7, 2015
      • Stephen Garrett
      • English
      • Hardback
        9 7 8 0 1 2 8 0 0 1 5 6 1
      • eBook
        9 7 8 0 1 2 8 0 0 4 9 1 3
      This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as fundamental calculus, linear algebra, probability, and basic numerical methods. The easily-understandabl... text of Introduction to Actuarial and Mathematical Methods features examples, motivations, and lots of practice from a large number of end-of-chapter questions. For readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute, Introduction to Actuarial and Mathematical Methods can provide a consistency of mathematical knowledge from the outset.

    • Algebraic and Discrete Mathematical Methods for Modern Biology

      • 1st Edition
      • March 25, 2015
      • Raina Robeva
      • English
      • Hardback
        9 7 8 0 1 2 8 0 1 2 1 3 0
      • eBook
        9 7 8 0 1 2 8 0 1 2 7 1 0
      Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution.

    • Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A

      • 1st Edition
      • Volume 87
      • March 3, 2015
      • English
      • Hardback
        9 7 8 0 1 2 8 0 3 2 5 6 5
      • eBook
        9 7 8 0 1 2 8 0 3 2 5 7 2
      First published in 1963, Advances in Parasitology contains comprehensive and up-to-date reviews in all areas of interest in contemporary parasitology. Advances in Parasitology includes medical studies of parasites of major influence, such as Plasmodium falciparum and trypanosomes. The series also contains reviews of more traditional areas, such as zoology, taxonomy, and life history, which shape current thinking and applications. The 2013 impact factor is 4.36.

    • Advances in Computers

      • 1st Edition
      • Volume 97
      • February 26, 2015
      • English
      • Hardback
        9 7 8 0 1 2 8 0 2 1 3 3 0
      • eBook
        9 7 8 0 1 2 8 0 2 3 4 1 9
      Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.

    • Bio-Inspired Computation in Telecommunications

      • 1st Edition
      • February 6, 2015
      • Xin-She Yang + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 1 5 3 8 4
      • eBook
        9 7 8 0 1 2 8 0 1 7 4 3 2
      Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

    • The Linear Algebra Survival Guide

      • 1st Edition
      • February 4, 2015
      • Fred Szabo
      • English
      • Paperback
        9 7 8 0 1 2 4 0 9 5 2 0 5
      • eBook
        9 7 8 0 1 2 4 0 9 5 3 1 1
      The Linear Algebra Survival Guide offers a concise introduction to the difficult core topics of linear algebra, guiding you through the powerful graphic displays and visualization of Mathematica that make the most abstract theories seem simple - allowing you to tackle realistic problems using simple mathematical manipulations. This resource is therefore a guide to learning the content of Mathematica in a practical way, enabling you to manipulate potential solutions/outcomes, and learn creatively. No starting knowledge of the Mathematica system is required to use the book. Desktop, laptop, web-based versions of Mathematica are available on all major platforms. Mathematica Online for tablet and smartphone systems are also under development and increases the reach of the guide as a general reference, teaching and learning tool.

    • Semi-Markov Models

      • 1st Edition
      • February 2, 2015
      • Yuriy E Obzherin + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 2 2 1 2 2
      • eBook
        9 7 8 0 1 2 8 0 2 4 8 6 7
      Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency, and utilizing the method of asymptotic phase enlargement developed by V.S. Korolyuk and A.F. Turbin. The work then explores semi-Markov models of latent failures control in two-component systems. Building on these results, solutions are provided for the problems of optimal periodicity of control execution. Finally, the book presents a comparative analysis of analytical and imitational modeling of some one- and two-component systems, before discussing practical applications of the results

Related subjects

Mathematics and applied mathematics

Statistics and probability