Skip to main content

Books in Mathematics

91-100 of 2667 results in All results

Advances in Computers

  • 1st Edition
  • Volume 123
  • June 8, 2021
  • Suyel Namasudra
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 2 4 1 2 1 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 4 1 2 2 - 6
Advances in Computers, Volume 123 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Downlink Resource Allocations of Satellite-Airborne-Terrestrial Networks Integration, Evaluating Software Testing Techniques: A Systematic Mapping Study, The Screening Phase in Systematic Reviews: Can we speed up the process?, A Survey on Cloud-Based Video Streaming Services, and User Behavior-Ensemble Learning based Improving QoE Fairness in HTTP Adaptive Streaming over SDN approach.

Mathematica by Example

  • 6th Edition
  • June 1, 2021
  • Martha L. Abell + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 1 6 3 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 8 1 7 - 7
Mathematica by Example, Sixth Edition is an essential resource for the Mathematica user, providing step-by-step instructions on achieving results from this powerful software tool. The book fully accounts for the changes to functionality and visualization capabilities and accomodates 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 and subject areas.

Advanced Mathematics for Engineering Students

  • 1st Edition
  • May 20, 2021
  • Brent J. Lewis + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 6 8 1 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 6 8 2 - 6
Advanced Mathematics for Engineering Students: The Essential Toolbox provides a concise treatment for applied mathematics. Derived from two semester advanced mathematics courses at the author’s university, the book delivers the mathematical foundation needed in an engineering program of study. Other treatments typically provide a thorough but somewhat complicated presentation where students do not appreciate the application. This book focuses on the development of tools to solve most types of mathematical problems that arise in engineering – a “toolbox” for the engineer. It provides an important foundation but goes one step further and demonstrates the practical use of new technology for applied analysis with commercial software packages (e.g., algebraic, numerical and statistical).

Statistical Methods

  • 4th Edition
  • April 16, 2021
  • Donna L. Mohr + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 0 4 3 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 9 9 8 8 - 8
Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an overview of statistical reasoning, this text equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

  • 1st Edition
  • Volume 122
  • March 28, 2021
  • Shiho Kim + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 2 3 1 2 3 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 1 2 4 - 1
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more.

Basic Statistics with R

  • 1st Edition
  • February 20, 2021
  • Stephen C. Loftus
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 0 7 8 8 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 9 2 6 - 4
Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines.

Data Science: Theory and Applications

  • 1st Edition
  • Volume 44
  • February 12, 2021
  • C.R. Rao + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 5 2 0 0 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 2 0 1 - 2
Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.

Geometric Partial Differential Equations - Part 2

  • 1st Edition
  • Volume 22
  • January 26, 2021
  • Andrea Bonito + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 4 3 0 5 - 6
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 4 3 0 6 - 3
Besides their intrinsic mathematical interest, geometric partial differential equations (PDEs) are ubiquitous in many scientific, engineering and industrial applications. They represent an intellectual challenge and have received a great deal of attention recently. The purpose of this volume is to provide a missing reference consisting of self-contained and comprehensive presentations. It includes basic ideas, analysis and applications of state-of-the-art fundamental algorithms for the approximation of geometric PDEs together with their impacts in a variety of fields within mathematics, science, and engineering.

The Blockchain Technology for Secure and Smart Applications across Industry Verticals

  • 1st Edition
  • Volume 121
  • January 23, 2021
  • Neeraj Kumar + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 2 1 9 9 1 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 1 9 9 2 - 8
The Blockchain Technology for Secure and Smart Applications across Industry Verticals, Volume 121, presents the latest information on a type of distributed ledger used for maintaining a permanent and tamper-proof record of transactional data. The book presents a novel compendium of existing and budding Blockchain technologies for various smart applications. Chapters in this new release include the Basics of Blockchain, The Blockchain History, Architecture of Blockchain, Core components of Blockchain, Blockchain 2.0: Smart Contracts, Empowering Digital Twins with Blockchain, Industrial Use Cases at the Cusp of the IoT and Blockchain Paradigms, Blockchain Components and Concepts, Digital Signatures, Accumulators, Financial Systems, and more. This book is a unique effort to illuminate various techniques to represent, improve and authorize multi-institutional and multidisciplinary research in a different type of smart applications, like the financial system, smart grid, transportation system, etc. Readers in identity-privacy, traceability, immutability, transparency, auditability, and security will find it to be a valuable resource.

An Introduction to Hypergeometric, Supertrigonometric, and Superhyperbolic Functions

  • 1st Edition
  • January 23, 2021
  • Xiao-Jun Yang
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 1 5 4 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 2 8 2 - 1
An Introduction to Hypergeometric, Supertigonometric, and Superhyperbolic Functions gives a basic introduction to the newly established hypergeometric, supertrigonometric, and superhyperbolic functions from the special functions viewpoint. The special functions, such as the Euler Gamma function, the Euler Beta function, the Clausen hypergeometric series, and the Gauss hypergeometric have been successfully applied to describe the real-world phenomena that involve complex behaviors arising in mathematics, physics, chemistry, and engineering.