Majid Darehmiraki
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View article: A parametric activation function based on Wendland RBF
A parametric activation function based on Wendland RBF Open
This paper introduces a novel parametric activation function based on Wendland radial basis functions (RBFs) for deep neural networks. Wendland RBFs, known for their compact support, smoothness, and positive definiteness in approximation t…
View article: Applying Radial Basis Functions and Partition of Unity for Solving Heating Equations Optimal Control Issues
Applying Radial Basis Functions and Partition of Unity for Solving Heating Equations Optimal Control Issues Open
View article: A fast Galerkin-spectral method based on discrete Legendre polynomials for solving parabolic differential equation
A fast Galerkin-spectral method based on discrete Legendre polynomials for solving parabolic differential equation Open
View article: Neutrosophic Data Envelopment Analysis Based on Parametric Ranking Method
Neutrosophic Data Envelopment Analysis Based on Parametric Ranking Method Open
View article: Supply chain management problem modelling in hesitant fuzzy environment
Supply chain management problem modelling in hesitant fuzzy environment Open
Complex nature of the current market is often caused by uncertainties, data uncertainties, their manner of use, and differences in managers' viewpoints. To overcome these problems, Hesitant Fuzzy Sets (HFSs) can be useful as the extension …
View article: Issue Information
Issue Information Open
Rest of World), €3002 (Europe), £2375 (UK
View article: Solution procedure for multi-objective fractional programming problem under hesitant fuzzy decision environment
Solution procedure for multi-objective fractional programming problem under hesitant fuzzy decision environment Open
For the three last decades, the multi-objective fractional programming problem has attracted the attention of many researchers due to various applications in production planning, financial field, and inventory management, and so on. The ma…
View article: A solution for fractional PDE constrained optimization problems using reduced basis method
A solution for fractional PDE constrained optimization problems using reduced basis method Open
View article: A solution for fractional PDE constrained optimization problems using\n reduced basis method
A solution for fractional PDE constrained optimization problems using\n reduced basis method Open
In this paper, we employ a reduced basis method for solving the PDE\nconstrained optimization problem governed by a fractional parabolic equation\nwith the fractional derivative in time from order beta in (0,1) is defined by\nCaputo fracti…
View article: Reproducing kernel method for PDE constrained optimization
Reproducing kernel method for PDE constrained optimization Open
This paper presents reproducing kernel Hilbert spaces method to obtain the numerical solution for partial differential equation constrained optimization problem.