Advances in Functional Analysis and Fixed-Point Theory Advances in Functional Analysis and Fixed-Point Theory
Industrial and Applied Mathematics

Advances in Functional Analysis and Fixed-Point Theory

An Interdisciplinary Approach

Bipan Hazarika and Others
    • $119.99
    • $119.99

Publisher Description

This book presents a curated selection of recent research in functional analysis and fixed-point theory, exploring their applications in interdisciplinary fields. The primary objective is to establish a connection between the latest developments in functional analysis and fixed-point theory and the broader interdisciplinary research landscape. By doing so, this book aims to address the needs of researchers and experts seeking to stay up-to-date with the cutting-edge research trends in functional analysis, fixed-point theory and related areas. It also aims to pave the way for applying functional analysis and fixed-point theory to solve interdisciplinary problems in various domains, including but not limited to fractional calculus, integral equations, queuing theory, convex analysis, harmonic analysis and wavelet analysis.

GENRE
Science & Nature
RELEASED
2024
April 22
LANGUAGE
EN
English
LENGTH
328
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
15
MB

More Books by Bipan Hazarika, Santanu Acharjee & Dragan S. Djordjević

Sequence Space Theory with Applications Sequence Space Theory with Applications
2022
Approximation Theory, Sequence Spaces and Applications Approximation Theory, Sequence Spaces and Applications
2022
Fixed Point Theory and Fractional Calculus Fixed Point Theory and Fractional Calculus
2022

Other Books in This Series

An Introduction to Fractional Differential Equations An Introduction to Fractional Differential Equations
2023
Advances in Topology and Their Interdisciplinary Applications Advances in Topology and Their Interdisciplinary Applications
2023
Advances in Reliability, Failure and Risk Analysis Advances in Reliability, Failure and Risk Analysis
2023
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
2023
Approximation Theory, Sequence Spaces and Applications Approximation Theory, Sequence Spaces and Applications
2022
Multi-dimensional Control Problems Multi-dimensional Control Problems
2022