7 Best Books on Generalized Machine Theory

“Generalized Theory Of Electrical Machines” Book Review: The target audience for this book comprises undergraduate students in the fields of Electronics and Communication Engineering (ECE) and Electronics and Electrical Engineering (EEE). Its contents cover a range of topics, including Elements of Generalized Theory, Linear Transformation in Machines, DC Machines, Polyphase Synchronous Machines, Polyphase Induction Machines, Single Phase Motors, AC Commutators Machines, Transformers, Brushless DC, Variable-Reluctance, and Stepping Motors. Additionally, the book includes an Appendix intended to assist readers.

“Restricted-Orientation Convexity (Monographs in Theoretical Computer Science. An EATCS Series)” Book Review: This book is designed for research analysts and computer science graduates. It starts by introducing generalized convexity properties in multidimensional Euclidean space. It then delves into the restricted orientation analogs of lines, hyperplanes, flats, and halfspaces, while also highlighting the significant properties of standard convex sets that hold true for restricted orientation convexity. The book concludes by presenting the concept of strong restricted-orientation convexity, a substitute for generalization of convexity. It also draws attention to the similarities between the properties of strong restricted-orientation convexity and standard convexity.

“Quantifiers and Cognition: Logical and Computational Perspectives (Studies in Linguistics and Philosophy)” Book Review: This book is a valuable resource for researchers in philosophy, AI, logic, computer science, and linguistics. The author covers several important topics, including procedural semantics, simple qualifiers, complex quantifiers, collective quantifiers, and perspectives and conclusions. In procedural semantics, the book explores the algorithmic theory of meaning and complexity in linguistics. It also delves into basic generalized quantifier theory, computing simple quantifiers, and cognitive processing of quantifiers. Complex quantifiers such as standard polyadic lifts, quantified reciprocals, and branching quantifiers are discussed, along with the complexity of polyadic quantifiers. The book concludes with insights on collective quantification and provides a comprehensive overview of logical and computational perspectives on quantifiers and cognition.

“Generalized Low Rank Models (Foundations and Trends in Machine Learning)” Book Review: The author of this book covers a range of popular techniques in data analysis, including non-negative matrix factorization, matrix completion, sparse and robust PCS, k-means, k-SVD, and maximum margin matrix factorization. Moreover, the book provides insights into a method that deals with heterogeneous datasets, resulting in coherent schemes for compressing, denoising, and imputing missing entries across all data types. The low rank factors have many interesting interpretations, enabling the clustering of features or examples. The author also proposes multiple parallel algorithms for fitting generalized low rank models and explains the numerical results and implementations. Overall, this book is an excellent resource for machine learning enthusiasts seeking to expand their knowledge of data analysis.

“Flexible Query Answering Systems: 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings (Lecture Notes in Computer Science)” Book Review: This book is aimed at computer enthusiasts and covers a wide range of topics related to databases and fuzzy logic. It includes chapters on estimating the quality of database answers, using fuzzy sets in flexible querying, nonstandard database interaction, fuzzy deductive relational databases, metareasoning agents for query-answering systems, and more. The book explores the application of fuzzy logic in different aspects of database querying, such as time indications, validity and completeness of data, and constructing aggregation functions. It also provides practical implementation examples using Microsoft Access. With its comprehensive coverage, this book is a valuable resource for those interested in exploring the intersection of databases and fuzzy logic.

“Generalized Connectivity of Graphs (SpringerBriefs in Mathematics)” Book Review: This book is intended for individuals in the fields of computer science, discrete algorithms, complexity analysis, network design, combinatorics, and probability, such as graduate students and research analysts. Its focus is on generalized (or edge) connectivity and it covers noteworthy results, proof techniques, open problems, and conjectures in this area. The book offers both theoretical and practical analyses of generalized (or edge) connectivity graphs. It covers a wide range of topics, including generalized (edge) connectivity of graph classes, algorithms, computational complexity, sharp bounds, Nordhaus-Gaddum-type results, maximum generalized local connectivity, extremal problems, random graphs, multigraphs, relations with the Steiner tree packing problem, and generalizations of connectivity.

“Mechanism and Machine Theory” Book Review: This book is designed for both undergraduate and postgraduate students who are pursuing mechanical, electrical, and aeronautical engineering, as well as those studying production engineering and metallurgical engineering. Its coverage includes recent research topics such as function and path generation, as well as mechanism synthesis using coupler curves and number synthesis of kinematic chains. In addition, the book delves into important concepts such as the analytical method of motion and conversion phenomenon. Furthermore, it proves to be a valuable resource for those preparing for competitive examinations such as GATE and Indian engineering services, as it contains solved examples and exercises to enhance the comprehension of the presented concepts.