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In this book, we consider some of the most broadly applicable techniques for the analysis of discrete and continuous time dynamical systems. The same concept can be used to obtain the phase portrait, which is a graphical description of the dynamics over the entire state space.
Engineers, researchers, and students attempting to effectively utilize numerical methods to solve complex engineering problems in today's fast-paced technological world are increasingly struggling to keep up without the necessary tools. While theoretical knowledge is vital, it can feel disconnected from practical application, leaving many ill-equipped to tackle real-world challenges. Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently.
This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.
Not one size fits all. Yet, some books teach business with minimal focus on the context for business. In reality, firms — large and small — are highly affected by the context in which they operate; yet, context is not uniformly conceptualized, theorized, and operationalized by scholars of business and management. While most theories have come from developed countries with bountiful contexts, the diverse contexts of Western Asia are little understood. Religious factors are profoundly dominant in Western Asia, and businesses in this diverse area operate with considerations that are rarely considered in research. This book reveals a variety of schools of thought that have molded several business models and mechanisms, which are, to some extent, different from the context of Western economies.
This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.
This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.
In this paper we desire to extend the neutrosophic topological spaces into N-neutrosophic topological spaces. Also we show that this theory can be deduced to N-intuitionistic and N-fuzzy topological spaces etc. Further we develop not only the concept of classical generalized closed sets into N-neutrosophic topological spaces but also obtain its basic properties. Finally we investigate its continuous function and generalized continuous function.
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