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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

    • Introductory Statistics

      • 4th Edition
      • January 26, 2017
      • Sheldon M. Ross
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 3 1 7 2
      • eBook
        9 7 8 0 1 2 8 0 4 3 6 1 5
      Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered. For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises.

    • Mathematica by Example

      • 5th Edition
      • January 24, 2017
      • Martha L. Abell + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 4 8 1 9
      • eBook
        9 7 8 0 1 2 8 1 2 4 8 2 6
      Mathematica by Example, Fifth Edition is an essential desk reference for the beginning Mathematica user, providing step-by-step instructions on achieving results from this powerful software tool. The book fully accounts for the dramatic changes to functionality and visualization capabilities in the most recent version of Mathematica (10.4). It accommodates the full array of new extensions in the types of data and problems that Mathematica can immediately handle, including cloud services and systems, geographic and geometric computation, dynamic visualization, interactive applications and other improvements. It is an ideal text for scientific students, researchers and aspiring programmers seeking further understanding of Mathematica. Written by seasoned practitioners with a view to practical implementation and problem-solving, the book's pedagogy is delivered clearly and without jargon using representative biological, physical and engineering problems. Code is provided on an ancillary website to support the use of Mathematica across diverse applications.

    • Riemannian Submersions, Riemannian Maps in Hermitian Geometry, and their Applications

      • 1st Edition
      • January 23, 2017
      • Bayram Sahin
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 3 9 1 2
      • eBook
        9 7 8 0 1 2 8 0 4 4 1 0 0
      Riemannian Submersions, Riemannian Maps in Hermitian Geometry, and their Applications is a rich and self-contained exposition of recent developments in Riemannian submersions and maps relevant to complex geometry, focusing particularly on novel submersions, Hermitian manifolds, and K\{a}hlerian manifolds. Riemannian submersions have long been an effective tool to obtain new manifolds and compare certain manifolds within differential geometry. For complex cases, only holomorphic submersions function appropriately, as discussed at length in Falcitelli, Ianus and Pastore’s classic 2004 book. In this new book, Bayram Sahin extends the scope of complex cases with wholly new submersion types, including Anti-invariant submersions, Semi-invariant submersions, slant submersions, and Pointwise slant submersions, also extending their use in Riemannian maps. The work obtains new properties of the domain and target manifolds and investigates the harmonicity and geodesicity conditions for such maps. It also relates these maps with discoveries in pseudo-harmonic maps. Results included in this volume should stimulate future research on Riemannian submersions and Riemannian maps.

    • The Partition Method for a Power Series Expansion

      • 1st Edition
      • January 19, 2017
      • Victor Kowalenko
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 4 6 6 7
      • eBook
        9 7 8 0 1 2 8 0 4 5 1 1 4
      The Partition Method for a Power Series Expansion: Theory and Applications explores how the method known as 'the partition method for a power series expansion', which was developed by the author, can be applied to a host of previously intractable problems in mathematics and physics. In particular, this book describes how the method can be used to determine the Bernoulli, cosecant, and reciprocal logarithm numbers, which appear as the coefficients of the resulting power series expansions, then also extending the method to more complicated situations where the coefficients become polynomials or mathematical functions. From these examples, a general theory for the method is presented, which enables a programming methodology to be established. Finally, the programming techniques of previous chapters are used to derive power series expansions for complex generating functions arising in the theory of partitions and in lattice models of statistical mechanics.

    • Uncertainties in GPS Positioning

      • 1st Edition
      • January 16, 2017
      • Alan Oxley
      • English
      • Paperback
        9 7 8 0 1 2 8 0 9 5 9 4 2
      • eBook
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      Uncertainties in GPS Positioning: A Mathematical Discourse describes the calculations performed by a GPS receiver and the problems associated with ensuring that the derived location is a close match to the actual location. Inaccuracies in calculating a location can have serious repercussions, so this book is a timely source for information on this rapidly evolving technology.

    • Handbook of Numerical Methods for Hyperbolic Problems

      • 1st Edition
      • Volume 18
      • January 16, 2017
      • Remi Abgrall + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 9 1 0 3
      • eBook
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      Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and become familiar with their relative advantages and limitations.

    • New Approaches of Protein Function Prediction from Protein Interaction Networks

      • 1st Edition
      • January 11, 2017
      • Jingyu Hou
      • English
      • Paperback
        9 7 8 0 1 2 8 0 9 8 1 4 1
      • eBook
        9 7 8 0 1 2 8 0 9 9 4 4 5
      New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.

    • A Generalized Framework of Linear Multivariable Control

      • 1st Edition
      • January 11, 2017
      • Liansheng Tan
      • English
      • Paperback
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      • eBook
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      A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those restrictions to generalize the classical notions and models to include some non-regular cases. This book is ideal for scholars, academics, professional engineer and students who are interested in control system theory.

    • Simulation of Stochastic Processes with Given Accuracy and Reliability

      • 1st Edition
      • November 22, 2016
      • Yuriy V. Kozachenko + 3 more
      • English
      • Hardback
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      • eBook
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      Simulation has now become an integral part of research and development across many fields of study. Despite the large amounts of literature in the field of simulation and modeling, one recurring problem is the issue of accuracy and confidence level of constructed models. By outlining the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and reliability in functional spaces.The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes and Cox processes. Methods of simulation of stochastic processes and fields with given accuracy and reliability in some Banach spaces are also considered.

    • Handbook of Numerical Methods for Hyperbolic Problems

      • 1st Edition
      • Volume 17
      • November 17, 2016
      • Remi Abgrall + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 7 8 9 5
      • eBook
        9 7 8 0 4 4 4 6 3 7 9 5 6
      Handbook of Numerical Methods for Hyperbolic Problems explores the changes that have taken place in the past few decades regarding literature in the design, analysis and application of various numerical algorithms for solving hyperbolic equations. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and readily understand their relative advantages and limitations.

Related subjects

Mathematics and applied mathematics

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