Skip to main content
Elsevier
View Cart
openUserAccount

Books in Mathematics and applied mathematics

BooksJournals
81-90 of 2229 results in All results

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.

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.

International Futures

  • 1st Edition
  • March 19, 2019
  • Barry B. Hughes
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 4 2 7 1 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 3 4 2 2 - 1
International Futures: Building and Using Global Models extensively covers one of the most advanced systems for integrated, long-term, global and large-scale forecasting analysis available today, the International Futures (IFs) system. Key elements of a strong, long-term global forecasting system are described, i.e. the formulations for the driving variables in separate major models and the manner in which these separate models are integrated. The heavy use of algorithmic and rule-based elements and the use of elements of control theory is also explained. Furthermore, the IFs system is compared and contrasted with all other major modeling efforts, also outlining the major benefits of the IFs system. Finally, the book provides suggestions on how the development of forecasting systems might most productively proceed in the coming years.

Biostatistics for Medical and Biomedical Practitioners

  • 2nd Edition
  • March 19, 2019
  • Julien I. E. Hoffman
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 0 8 4 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 0 8 5 - 4
Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work.

Model Engineering for Simulation

  • 1st Edition
  • February 27, 2019
  • Lin Zhang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 3 5 4 3 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 3 5 4 4 - 0
Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

Advances in Computers

  • 1st Edition
  • Volume 113
  • January 30, 2019
  • Atif Memon
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 1 6 0 7 0 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 6 0 7 1 - 8
Advances in Computers, Volume 113, 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 Survey on Regression Test-case Prioritization, Symbolic Execution and Recent Applications to Worst-Case Execution, Load Testing and Security Analysis, Model Based Test Cases Reuse and Optimization, Advances in Using Agile and Lean Processes for Software Development, Three Open Problems in the Context of E2E Web Testing and a Vision: NEONATE, Experiences with replicable experiments and replication kits for software engineering research, and Advances in Symbolic Execution.

Proper Orthogonal Decomposition Methods for Partial Differential Equations

  • 1st Edition
  • November 26, 2018
  • Zhendong Luo + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 6 7 9 8 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 6 7 9 9 - 1
Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of truncation error in the computational process. Introduces the foundations of finite-differences, finite-elements and finite-volume-elements. Models of time-dependent PDEs are presented, with detailed numerical procedures, implementation and error analysis. Output numerical data are plotted in graphics and compared using standard traditional methods. These models contain parabolic, hyperbolic and nonlinear systems of PDEs, suitable for the user to learn and adapt methods to their own R&D problems.

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1

  • 1st Edition
  • Volume 19
  • November 8, 2018
  • Ron Kimmel + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 4 2 0 5 - 9
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 4 2 0 6 - 6
Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms. It covers mathematical models as well as fast computational techniques, and includes new chapters on Alternating diffusion: a geometric approach for sensor fusion, Shape Correspondence and Functional Maps, Geometric models for perception-based image processing, Decomposition schemes for nonconvex composite minimization: theory and applications, Low rank matrix recovery: algorithms and theory, Geometry and learning for deformation shape correspondence, and Factoring scene layout from monocular images in presence of occlusion.

Algebraic and Combinatorial Computational Biology

  • 1st Edition
  • September 13, 2018
  • Raina Robeva + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 4 0 6 6 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 4 0 6 9 - 7
Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern computational biology. Presented in a modular format, each topic introduces the biological foundations of the field, covers specialized mathematical theory, and concludes by highlighting connections with ongoing research, particularly open questions. The work addresses problems from gene regulation, neuroscience, phylogenetics, molecular networks, assembly and folding of biomolecular structures, and the use of clustering methods in biology. A number of these chapters are surveys of new topics that have not been previously compiled into one unified source. These topics were selected because they highlight the use of technique from algebra and combinatorics that are becoming mainstream in the life sciences.

Theory of Modeling and Simulation

  • 3rd Edition
  • August 14, 2018
  • Bernard P. Zeigler + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 3 3 7 0 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 3 4 0 7 - 8
Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components. New sections in this updated edition include discussions on important new extensions to theory, including chapter-length coverage of iterative system specification and DEVS and their fundamental importance, closure under coupling for iteratively specified systems, existence, uniqueness, non-deterministic conditions, and temporal progressiveness (legitimacy).

Related subjects

Abstract harmonic analysis

Algebra and number theory

Algebraic geometry

Algebraic topology

Analysis

Applied mathematics

Approximations and expansions

Associative rings and algebras

Biomathematics

Calculus of variations and optimal control optimization

Category theory homological algebra

Commutative rings and algebras

Computer science

Convex sets and related geometric topics

Differential geometry

Discrete mathematics combinatorics

Field theory and polynomials

Finite differences and functional equations

Fourier analysis

Functional analysis

Functions of a complex variable

General mathematical systems

General topology

Geometry

Global analysis analysis of manifolds

Group theory and generalizations

Integral equations

Integral transforms operational calculus

Linear and multilinear algebra matrix theory

Logic

Manifolds and cell complexes

Mathematical economics and game theory

Mathematical logic and foundations

Mathematical programming

Mathematics general

Mathematics history and biography

Measure and integration

Number theory

Numerical analysis

Operator theory

Order lattices ordered algebraic structures

Ordinary differential equations

Partial differential equations

Real functions

Sequences series summability

Set theory

Several complex variables and analytic spaces

Special functions

Systems theory control

Topological groups lie groups