Skip to main content
Elsevier
View Cart
openUserAccount

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
101-110 of 2429 results in All results

Functional Analysis

  • 1st Edition
  • December 1, 2019
  • Frederic Magoules + 1 more
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 2 1 2 - 3
Functional Analysis presents an original approach to a field that first appeared in the beginning of last century in old mathematical fields like variational calculus, theory of partial differential equations, numerical analysis and theory of integral equations. Functional analysis can be considered as a generalization and a geometrical interpretation of the mathematical analysis (calculus).

Modeling Evolution of Heterogeneous Populations

  • 1st Edition
  • October 16, 2019
  • Irina Kareva + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 4 3 6 8 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 4 4 3 2 - 9
Modeling Evolution of Heterogeneous Populations: Theory and Applications describes, develops and provides applications of a method that allows incorporating population heterogeneity into systems of ordinary and discrete differential equations without significantly increasing system dimensionality. The method additionally allows making use of results of bifurcation analysis performed on simplified homogeneous systems, thereby building on the existing body of tools and knowledge and expanding applicability and predictive power of many mathematical models.

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

  • 1st Edition
  • Volume 20
  • October 15, 2019
  • Ron Kimmel + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 4 1 4 0 - 3
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 4 1 4 1 - 0
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.

Fundamentals of Advanced Mathematics V3

  • 1st Edition
  • September 18, 2019
  • Henri Bourles
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 2 5 0 - 2
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 2 3 8 6 - 0
Fundamentals of Advanced Mathematics, Volume Three, begins with the study of differential and analytic infinite-dimensional manifolds, then progresses into fibered bundles, in particular, tangent and cotangent bundles. In addition, subjects covered include the tensor calculus on manifolds, differential and integral calculus on manifolds (general Stokes formula, integral curves and manifolds), an analysis on Lie groups, the Haar measure, the convolution of functions and distributions, and the harmonic analysis over a Lie group. Finally, the theory of connections is (linear connections, principal connections, and Cartan connections) covered, as is the calculus of variations in Lagrangian and Hamiltonian formulations. This volume is the prerequisite to the analytic and geometric study of nonlinear systems.

Role of Blockchain Technology in IoT Applications

  • 1st Edition
  • Volume 115
  • September 3, 2019
  • Shiho Kim + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 1 7 1 8 9 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 1 9 2 - 9
Role of Blockchain Technology in IoT Applications, Volume 115 in the Advances in Computers series, reviews the latest information on this topic that promises many applications in human life. According to forecasts made by various market research/survey agencies, there will be around 50 Billion connected devices (IoT) by 2020. Updates in this new release include chapters on the Technical Aspects of Blockchain and IoT, Integrated Platforms for Blockchain-Enablement, Intersections Between IoT and Distributed Ledger, Blockchain and Artificial Intelligence: How and Why Combining These Two Groundbreaking Technologies, Blockchain Applications in Health Care and Opportunities and Advancements Due to New Information Technology Frameworks, and more.

Conceptual Econometrics Using R

  • 1st Edition
  • Volume 41
  • August 20, 2019
  • Hrishikesh D. Vinod + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 4 3 1 1 - 7
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 4 3 1 2 - 4
Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, productivity and financial market jumps and co-jumps, among others.

Introduction to Algorithms for Data Mining and Machine Learning

  • 1st Edition
  • June 17, 2019
  • Xin-She Yang
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 2 1 6 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 2 1 7 - 9
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.

Advances in Computers

  • 1st Edition
  • Volume 114
  • May 22, 2019
  • Suyel Namasudra
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 1 7 1 5 7 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 1 5 8 - 5
Advances in Computers, Volume 114, the latest volume in this innovative series published since 1960, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters in this updated release include A Comprehensive Survey of Issues in Solid State Drives, Revisiting VM performance and optimization challenges for big data, Towards Realizing Self-Protecting Healthcare Information Systems: Design and Security Challenges, and SSIM and ML based QoE enhancement approach in SDN context.

Statistics for Biomedical Engineers and Scientists

  • 1st Edition
  • May 18, 2019
  • Andrew P. King + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 0 8 - 1 0 2 9 3 9 - 8
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 2 9 4 0 - 4
Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests ‘by hand’, and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics.

From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems

  • 1st Edition
  • May 18, 2019
  • Daizhan Cheng
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 8 0 1 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 8 0 2 - 7
From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems illuminates the underlying mathematics of semi-tensor product (STP), a generalized matrix product that extends the conventional matrix product to two matrices of arbitrary dimensions. Dimension-varying systems feature prominently across many disciplines, and through innovative applications its newly developed theory can revolutionize large data systems such as genomics and biosystems, deep learning, IT, and information-based engineering applications.

Related subjects

Mathematics and applied mathematics

Statistics and probability