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This beginners' course provides students with a general and sufficiently easy to grasp theory of the Kurzweil-Henstock... Read More >>
This is a self-contained textbook of the theory of Besov spaces and Triebel–Lizorkin spaces oriented toward applications... Read More >>
Divided into three chapters, it discusses exponential and measurable functions, Riesz representation theorem, Borel... Read More >>
Hypersingular integral equations in fracture analysis explains how plane elastostatic crack problems may be formulated... Read More >>
It is aimed at researchers and students working in probability, the theory of stochastic processes, operations research,... Read More >>
This monograph develops an operator viewpoint for functional equations in classical function spaces of analysis,... Read More >>
This book introduces readers to several new generalized preinvex functions and generalized invariant monotone functions.... Read More >>
This innovative textbook bridges the gap between undergraduate analysis and graduate measure theory by guiding students... Read More >>
This book focuses on Erdélyi–Kober fractional calculus from a statistical perspective inspired by solar neutrino... Read More >>
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This first year graduate text is a comprehensive resource in real analysis based on a modern treatment of measure... Read More >>
This book develops the theory of multivariable analysis, building on the single variable foundations established... Read More >>
This new edition of a classic textbook develops complex analysis using simple topological ideas to translate visual... Read More >>
This book provides a concise introduction to convex duality in financial mathematics. Convex duality plays an essential... Read More >>
Written by an expert on the topic and experienced lecturer, this textbook provides an elegant, self-contained introduction... Read More >>
Current research and applications in nonlinear analysis influenced by Haim Brezis and Louis Nirenberg are presented... Read More >>
The purpose of this monograph is to study the common zeroes of families of polynomials in several variables which... Read More >>
This book is a thorough introduction to contemporary convex function theory addressed to all people whose research... Read More >>
The contributions in this volume aim to deepenunderstanding of some of the current research problems and theories... Read More >>
Since the topic draws heavily on the interplay between the algebraic structure of a linear space and the distance... Read More >>
This textbook is designed for a year-long course in real analysis taken by beginning graduate and advanced undergraduate... Read More >>
It is divided into two parts: Part I explores real analysis in one variable, starting with key concepts such as... Read More >>
Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and... Read More >>