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By Philip Maher
This book offers an account of a number of aspects of operator theory, mainly developed since the 1980s, whose problems have their roots in quantum theory. The research presented is in non-commutative operator approximation theory or, to use Halmos' terminology, in operator approximants.
Assuming minimal prerequisites, this rigorous yet accessible text is intended for a year-long analysis or advanced calculus course for advanced undergraduate or beginning graduate students. It clearly and concisely explains differentiation and integration of functions of one, and several variables and covers the Green, Gauss, and Stokes theorems.
Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs.
This book provides a complete and comprehensive guide to Pyomo Python Optimization Modeling Objects for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners.
By Soren Eilers
A recent surge in computer-based experimental approaches to pure mathematics is revolutionizing the way research mathematicians work. As the first of its kind, this textbook provides students with an introduction to the ends and means of experimental mathematics using the popular computer algebra system Maple.
This volume covers the topic in functional equations in a broad sense and is written by authors who are in this field for the past 50 years. It contains the basic notions of functional equations, the methods of solving functional equations, the growth of functional equations in the last four...
By Ranjan Roy
Many mathematicians today believe mathematical works from past centuries are inaccessible, not useful, or both. This book demonstrates that past works are not only readable, but brimming with ideas and insights. It is aimed at graduate students or researchers working in modular functions, number theory, complex analysis, or special functions.