Industrial and Applied Mathematics
Hazarika / Acharjee / Djordjevic
Advances in Functional Analysis and Fixed-Point Theory
Advances in Functional Analysis and Fixed-Point Theory
An Interdisciplinary Approach
Younis / Chen / Singh
Recent Developments in Fixed-Point Theory
Recent Developments in Fixed-Point Theory
Theoretical Foundations and Real-World Applications
Rad / Parand / Chakraverty
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
Theory, Algorithms and Applications
Mohiuddine / Hazarika / Nashine
Approximation Theory, Sequence Spaces and Applications
Approximation Theory, Sequence Spaces and Applications
Jayswal / Preeti
Multi-dimensional Control Problems
Multi-dimensional Control Problems
Robust Approach
Tripathy / Dutta / Paikray / Jena
Operators, Inequalities and Approximation
Operators, Inequalities and Approximation
Theory and Applications
Hazarika / Acharjee / Djordjevic
Advances in Functional Analysis and Fixed-Point Theory
Advances in Functional Analysis and Fixed-Point Theory
An Interdisciplinary Approach
Atangana / Igret Araz
Fractional Stochastic Differential Equations
Fractional Stochastic Differential Equations
Applications to Covid-19 Modeling
Mohiuddine / Hazarika / Nashine
Approximation Theory, Sequence Spaces and Applications
Approximation Theory, Sequence Spaces and Applications
Rad / Parand / Chakraverty
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
Theory, Algorithms and Applications
Jayswal / Preeti / Treant¿
Multi-dimensional Control Problems
Multi-dimensional Control Problems
Robust Approach
Atangana / Igret Araz
Fractional Stochastic Differential Equations
Fractional Stochastic Differential Equations
Applications to Covid-19 Modeling
Brokate / Manchanda / Siddiqi
Calculus for Scientists and Engineers
Calculus for Scientists and Engineers