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Books in Mathematics

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Mathematics for Physical Chemistry

  • 5th Edition
  • February 20, 2023
  • Robert G. Mortimer + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 9 4 5 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 9 4 6 - 3
Mathematics for Physical Chemistry, Fifth Edition includes exercises that enable readers to test their understanding and put theory into practice. Chapters are constructed around a sequence of mathematical topics, progressing gradually into more advanced material, before discussing key mathematical skills, including the analysis of experimental data and—new to this edition—complex variables. Includes additional new content on Mathematica and its advanced applications. Drawing on the experience of its expert authors, this book is the ideal supplementary text for practicing chemists and students wanting to sharpen their mathematics skills and understanding of key mathematical concepts for applications across physical chemistry.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

  • 1st Edition
  • February 11, 2023
  • Florentin Smarandache + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 4 5 6 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 4 5 7 - 6
Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.

Intelligent Edge Computing for Cyber Physical Applications

  • 1st Edition
  • February 3, 2023
  • D. Jude Hemanth + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 4 1 2 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 4 3 3 - 0
Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.

CISSP® Study Guide

  • 4th Edition
  • January 25, 2023
  • Joshua Feldman + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 7 3 4 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 7 3 5 - 3
CISSP® Study Guide, Fourth Edition provides the latest updates on CISSP® certification, the most prestigious, globally-recognized, vendor neutral exam for information security professionals. In this new edition, readers will learn about what's included in the newest version of the exam’s Common Body of Knowledge. The eight domains are covered completely and as concisely as possible. Each domain has its own chapter, including specially designed pedagogy to help readers pass the exam. Clearly stated exam objectives, unique terms/definitions, exam warnings, learning by example, hands-on exercises, and chapter ending questions help readers fully comprehend the material.

Principles of Big Graph: In-depth Insight

  • 1st Edition
  • Volume 128
  • January 24, 2023
  • Ripon Patgiri + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 9 8 1 0 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 9 8 1 1 - 9
Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation,  MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph.

Hybrid Censoring Know-How

  • 1st Edition
  • January 6, 2023
  • Narayanaswamy Balakrishnan + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 9 8 3 8 7 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 8 3 9 0 - 9
Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

Boolean Systems

  • 1st Edition
  • January 6, 2023
  • Serban E. Vlad
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 4 2 2 - 8
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 5 6 9 - 0
The Boolean functions may be iterated either asynchronously, when their coordinates are computed independently of each other, or synchronously, when their coordinates are computed at the same time. In Boolean Systems: Topics in Asynchronicity, a book addressed to mathematicians and computer scientists interested in Boolean systems and their use in modelling, author Serban E. Vlad presents a consistent and original mathematical theory of the discrete-time Boolean asynchronous systems. The purpose of the book is to set forth the concepts of such a theory, resulting from the synchronous Boolean system theory and mostly from the synchronous real system theory, by analogy, and to indicate the way in which known synchronous deterministic concepts generate new asynchronous nondeterministic concepts. The reader will be introduced to the dependence on the initial conditions, periodicity, path-connectedness, topological transitivity, and chaos. A property of major importance is invariance, which is present in five versions. In relation to it, the reader will study the maximal invariant subsets, the minimal invariant supersets, the minimal invariant subsets, connectedness, separation, the basins of attraction, and attractors. The stability of the systems and their time-reversal symmetry end the topics that refer to the systems without input. The rest of the book is concerned with input systems. The most consistent chapters of this part of the book refer to the fundamental operating mode and to the combinational systems (systems without feedback). The chapter Wires, Gates, and Flip-Flops presents a variety of applications. The first appendix addresses the issue of continuous time, and the second one sketches the important theory of Daizhan Cheng, which is put in relation to asynchronicity. The third appendix is a bridge between asynchronicity and the symbolic dynamics of Douglas Lind and Brian Marcus.

The Nuts and Bolts of Proofs

  • 5th Edition
  • January 5, 2023
  • Antonella Cupillari
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 0 2 0 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 0 2 1 - 9
The Nuts and Bolts of Proofs: An Introduction to Mathematical Proofs, Fifth Edition provides basic logic of mathematical proofs and how they work. The book offers techniques for both reading and writing proofs, discusses techniques in proving if/then statements by contrapositive and proofing by contradiction, includes the negation statement, and/or, examines various theorems, such as the if and only-if, equivalence theorems, existence theorems, and the uniqueness theorems. In addition, the use of counter examples, mathematical induction, composite statements including multiple hypothesis and multiple conclusions, and equality of numbers are also covered. The book also provides mathematical topics for practicing proof techniques. Included here are the Cartesian products, indexed families, functions, and relations. The last chapter of the book provides review exercises on various topics. Undergraduate students in engineering and physical science will find this book accessible as well as invaluable.

Algebraic Theory for True Concurrency

  • 1st Edition
  • January 3, 2023
  • Yong Wang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 9 1 2 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 9 1 3 - 5
Algebraic Theory for True Concurrency presents readers with the algebraic laws for true concurrency. Parallelism and concurrency are two of the core concepts within computer science. This book covers the different realms of concurrency, which enables programs, algorithms or problems to be broken out into order-independent or partially ordered components to improve computation and execution speed. There are two primary approaches for executing concurrency: interleaving concurrency and true concurrency. The main representative of interleaving concurrency is bisimulation/rooted branching bisimulation equivalences which is also readily explored. This work eventually founded the comprehensive axiomatization modulo bisimulation equivalence -- ACP (Algebra of Communicating Processes).The other approach to concurrency is true concurrency. Research on true concurrency is active and includes many emerging applications. First, there are several truly concurrent bisimulation equivalences, including: pomset bisimulation equivalence, step bisimulation equivalence, history-preserving (hp-) bisimulation equivalence, and hereditary history-preserving (hhp-) bisimulation equivalence, the most well-known truly concurrent bisimulation equivalence.

Advancements in Bayesian Methods and Implementations

  • 1st Edition
  • Volume 47
  • September 30, 2022
  • Alastair G Young + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 5 2 6 8 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 2 6 9 - 9
Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes.