Equivariant embeddings are essential tools in solving a variety of problems relating to homogenous spaces in linear algebraic groups. This volume classifies these embeddings using a ‘combinatorial’ data framework, with a special focus on spherical varieties.
This book looks at the framework of the fuzzy random optimization including theoretical results, optimization models, intelligent algorithms, and case studies. It presents how to design the solution algorithms to these fuzzy random optimization problems.
Essentials of Integration Theory for Analysis is a substantial revision of the bestselling Birkhäuser title by the same author, A Concise Introduction to the Theory of Integration. This new gem is appropriate as a text for a one-semester graduate course in integration theory and is complimented by the addition of several problems related to the new material. The text is also highly useful for self-study.
This book brings the most important aspects of modern topology within reach of a second-year undergraduate student. It successfully unites the most exciting aspects of modern topology with those that are most useful for research. The book is ideal for self-study.
This revised and expanded second edition presents the main results in the differential geometry of curves and surfaces suitable for a first course on the subject. Prerequisites are minimized and the most direct and straightforward approach is used throughout.
This book helps chemical and other engineers develop their skills for solving mathematical models using Maple. These mathematical models can consist of systems of algebraic, ordinary, and partial differential equations. Maple’s ‘dsolve’ is used to obtain solutions for many of these models. Maple worksheets are provided on the Springer website for use by readers to solve the example problems in this book.
This extensive description of classical complex analysis omits sheaf theoretical and cohomological methods to focus on the full quota of essential concepts related to the topic. Lots of exercises and figures make it an ideal introduction to the subject.
Accessible to students at their early stages of mathematical study, this full first year course in complex analysis offers new and interesting motivations for classical results and introduces related topics stressing motivation and technique. Numerous illustrations, examples, and now 300 exercises, enrich the text. Students who master this textbook will emerge with an excellent grounding in complex analysis, and a solid understanding of its wide applicability.
Written by students for students, this book offers a refreshing, new approach to making the transition into undergraduate-level mathematics or a similar numerate degree. The book contains chapters rich with worked examples and exercises.