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A Collection of Problems in Mathematical Physics
Outstanding, wide-ranging material on classification and reduction to canonical form of second-order differential equations; hyperbolic, parabolic, elliptic equations, more. Bibliography.
Physically based Impedance Modelling of Lithium-Ion Cells
In this book, a new procedure to analyze lithium-ion cells is introduced. The cells are disassembled to analyze their components in experimental cell housings. Then, Electrochemical Impedance Spectroscopy, time domain measurements and the Distribution function of Relaxation Times are applied to obtain a deep understanding of the relevant loss processes. This procedure yields a notable surplus of information about the electrode contributions to the overall internal resistance of the cell.
Real Analysis and Probability
This classic text offers a clear exposition of modern probability theory.
Point Set Topology: An Experience of a Teacher
The book has evolved out of my teaching of Topology at the postgraduate level since 1990. After my retirement in 2018, I left the boundaries of the prescribed syllabus by adding material to the notes. Limit of a function is seldom defined in a course of Topology. I have given a glimpse of definition of limit of function. A function on natural numbers is a sequence and on a directed set is a net. However, depending upon the cardinality of the directed set, we define different types of nets. This could be easily linked with the cardinal functions in a topology. I am planning to incorporate the same in the future editions. The present book includes, A Brief History of Topology, Basic Set Theory, Basic Concepts in Topology like Base, Subbase, Neighbourhoods and Local Base, Subspaces, Closed Sets, Closure, Interior and Limit Points, Continuous Functions. The book also deals with the order topology, Categorial Methods, Metric Spaces, Nets and Filters, Separation and Countability Axioms, Compact Spaces, Connected and Path Connected Spaces and Uniform Spaces.
Mathematical Reviews
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Fundamentals of Data Science
Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors inc...
Machine Learning
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based appr...
