Skip to main content

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.

21-30 of 2680 results in All results

Numerical Analysis meets Machine Learning

  • 1st Edition
  • Volume 25
  • June 13, 2024
  • Siddhartha Mishra + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 4 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 5 - 4
Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Intelligent Algorithms

  • 1st Edition
  • May 25, 2024
  • Han Huang + 1 more
  • English
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 7 5 9 - 3
Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization.The content of each chapter is supported by papers published in top journals. The book's authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.

API Design for C++

  • 2nd Edition
  • May 23, 2024
  • Martin Reddy
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 1 9 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 2 0 - 7
API Design for C++, Second Edition provides a comprehensive discussion of Application Programming Interface (API) development, from initial design through implementation, testing, documentation, release, versioning, maintenance, and deprecation. It is the only book that teaches the strategies of C++ API development, including interface design, versioning, scripting, and plug-in extensibility. Drawing from the author's experience on large scale, collaborative software projects, the text offers practical techniques of API design that produce robust code for the long-term. It presents patterns and practices that provide real value to individual developers as well as organizations.The Second Edition includes all new material fully updated for the latest versions of C++, including a new chapter on concurrency and multithreading, as well as a new chapter discussing how Objective C++ and C++ code can co-exist and how a C++ API can be accessed from Swift programs. In addition, it explores often overlooked issues, both technical and non-technical, contributing to successful design decisions that produce high quality, robust, and long-lived APIs. It focuses on various API styles and patterns that will allow you to produce elegant and durable libraries. A discussion on testing strategies concentrates on automated API testing techniques rather than attempting to include end-user application testing techniques such as GUI testing, system testing, or manual testing.

An Introduction to Probability and Statistical Inference

  • 3rd Edition
  • May 16, 2024
  • George G. Roussas
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 7 2 0 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 7 2 1 - 6
An Introduction to Probability and Statistical Inference, Third Edition guides the reader through probability models and statistical methods to develop critical-thinking skills. Written by award-winning author George Roussas, this valuable text introduces a thinking process to help users obtain the best solution to a posed question or situation and provides a plethora of examples and exercises to illustrate applying statistical methods to different situations.

Fractional Differential Equations

  • 1st Edition
  • April 29, 2024
  • Praveen Agarwal + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 4 2 3 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 4 2 4 - 9
Fractional Differential Equations: Theoretical Aspects and Applications presents the latest mathematical and conceptual developments in the field of Fractional Calculus and explores the scope of applications in research science and computational modeling. The book delves into these methods and applied computational modelling techniques, including analysis of equations involving fractional derivatives, fractional derivatives and the wave equation, analysis of FDE on groups, direct and inverse problems, functional inequalities, and computational methods for FDEs in physics and engineering. Other modeling techniques and applications explored include general fractional derivatives involving the special functions in analysis and fractional derivatives with respect to other functions. Fractional Calculus, the field of mathematics dealing with operators of differentiation and integration of arbitrary real or even complex order, extends many of the modelling capabilities of conventional calculus and integer-order differential equations and finds its application in various scientific areas, such as physics, mechanics, engineering, economics, finance, biology, and chemistry, among others.

Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment

  • 1st Edition
  • April 18, 2024
  • Alma Y Alanis + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 4 1 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 4 0 - 2
Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment focuses on bioinspired techniques such as modeling to generate control algorithms for the treatment of diabetes mellitus. The book addresses the identification of diabetes mellitus using a high-order recurrent neural network trained by an extended Kalman filter. The authors also describe the use of metaheuristic algorithms for the parametric identification of compartmental models of diabetes mellitus widely used in research works such as the Sorensen model and the Dallaman model. In addition, the book addresses the modeling of time series for the prediction of risk scenarios such as hyperglycaemia and hypoglycaemia using deep neural networks. The detection of diabetes mellitus in the early stages or when current diagnostic techniques cannot detect glucose intolerance or prediabetes is proposed, carried out by means of deep neural networks present in the literature. Readers will find leading-edge research in diabetes identification based on discrete high-order neural networks trained with an extended Kalman filter; parametric identification of compartmental models used to describe diabetes mellitus; modeling of data obtained by continuous glucose-monitoring sensors for the prediction of risk scenarios such as hyperglycaemia and hypoglycaemia; and screening for glucose intolerance using glucose-tolerance test data and deep neural networks. Application of the proposed approaches is illustrated via simulation and real-time implementations for modeling, prediction, and classification.

An Introductory Handbook of Bayesian Thinking

  • 1st Edition
  • April 17, 2024
  • Stephen C. Loftus
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 4 5 9 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 1 1 1 - 1
As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields.

Applications of Nature-Inspired Computing and Optimization Techniques

  • 1st Edition
  • Volume 135
  • April 2, 2024
  • Anupam Biswas + 3 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 5 7 6 8 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 7 6 9 - 4
Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more.Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics.

Industrial Network Security

  • 3rd Edition
  • March 26, 2024
  • Eric D. Knapp
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 7 3 7 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 7 3 8 - 9
As the sophistication of cyber-attacks increases, understanding how to defend critical infrastructure systems—energy production, water, gas, and other vital systems—becomes more important, and heavily mandated. Industrial Network Security, Third Edition arms you with the knowledge you need to understand the vulnerabilities of these distributed supervisory and control systems.Author Eric Knapp examines the unique protocols and applications that are the foundation of Industrial Control Systems (ICS) and provides clear guidelines for their protection. This comprehensive reference gives you thorough understanding of the challenges facing critical infrastructures, new guidelines and security measures for infrastructure protection, knowledge of new and evolving security tools, and pointers on SCADA protocols and security implementation.

Smart Spaces

  • 1st Edition
  • March 18, 2024
  • Fatos Xhafa + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 6 2 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 6 3 - 0
Smart Spaces covers the latest concepts and technologies surrounding smart spaces, providing technical personnel engaged in smart space related research and industries a more in-depth understanding of smart spaces. This book can be used as a reference for practicing this emerging discipline, but it will also be useful for researchers, scientists, developers, practitioners, and graduate students working in the fields of smart spaces and artificial intelligence. It combines the study of working or living spaces with computing, information equipment, and multimodal sensing devices, and with natural and convenient interactive interfaces to support how people can easily obtain services from computer systems.People's work and life in smart spaces use computer systems; it is a process of uninterrupted interaction between people and the computer system. In this process, the computer is no longer just an information processing tool that passively executes explicit human operation commands but a collaborator with people to complete tasks – a partner to human beings. International research on smart spaces is quite extensive, which shows the important role of smart spaces in ubiquitous computing research.