Haniye Dehestani

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Piecewise numerical approach for solving piecewise fractional optimal control and variational problems.
Numer. Algorithms
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2025 J jnl
A robust optimisation approach for the 2D-VO fractional optimal control problems.
Int. J. Syst. Sci.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2025 J jnl
Ritz-least squares support vector regression technique for the system of fractional Fredholm-Volterra integro-differential equations.
J. Appl. Math. Comput.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2024 J jnl
An accurate numerical Scheme for three-dimensional variable-order Time-fractional Partial differential equations in two Types of Space Domains.
Math. Model. Anal.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2022 J jnl
A spectral Approach for Time-fractional diffusion and subdiffusion equations in a Large interval.
Math. Model. Anal.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2022 J jnl
An efficient approach based on Legendre-Gauss-Lobatto quadrature and discrete shifted Hahn polynomials for solving Caputo-Fabrizio fractional Volterra partial integro-differential equations.
J. Comput. Appl. Math.
Haniye Dehestani, Yadollah Ordokhani
2022 J jnl
Fractional-Lucas optimization method for evaluating the approximate solution of the multi-dimensional fractional differential equations.
Eng. Comput.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2022 J jnl
Modification of numerical algorithm for space-time fractional partial differential equations including two types of fractional derivatives.
Int. J. Comput. Math.
Haniye Dehestani, Yadollah Ordokhani
2021 J jnl
A modified numerical algorithm based on fractional Euler functions for solving time-fractional partial differential equations.
Int. J. Comput. Math.
Haniye Dehestani, Yadollah Ordokhani
2021 J jnl
A novel direct method based on the Lucas multiwavelet functions for variable-order fractional reaction-diffusion and subdiffusion equations.
Numer. Linear Algebra Appl.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2021 J jnl
Combination of Lucas wavelets with Legendre-Gauss quadrature for fractional Fredholm-Volterra integro-differential equations.
J. Comput. Appl. Math.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2021 J jnl
Pseudo-operational matrix method for the solution of variable-order fractional partial integro-differential equations.
Eng. Comput.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020 J jnl
Fractional-order Bessel wavelet functions for solving variable order fractional optimal control problems with estimation error.
Int. J. Syst. Sci.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020 J jnl
Numerical solution of variable-order Time fractional Weakly singular Partial integro-differential equations with error estimation.
Math. Model. Anal.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020 J jnl
The novel operational matrices based on 2D-Genocchi polynomials: solving a general class of variable-order fractional partial integro-differential equations.
Comput. Appl. Math.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2019 J jnl
On the applicability of Genocchi wavelet method for different kinds of fractional-order differential equations with delay.
Numer. Linear Algebra Appl.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2018 J jnl
Fractional-order Legendre-Laguerre functions and their applications in fractional partial differential equations.
Appl. Math. Comput.
Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
redb/extractors/elf_extractors/__init__.py
← Index redb/extractors/elf_extractors/__init__.py python 
from .elf_features import ELFFeaturesExtractor
from .elf_segments import ELFSegmentExtractor
from .elf_sections import ELFSectionExtractor
from .elf_dependencies import ELFDependencyExtractor
from .elf_symbols import ELFSymbolExtractor
from .elf_imports import ELFImportExtractor
from .elf_exports import ELFExportExtractor
from .elf_relocations import ELFRelocationExtractor
from .elf_notes import ELFNotesExtractor

__all__ = [
    'ELFFeaturesExtractor',
    'ELFSegmentExtractor',
    'ELFSectionExtractor',
    'ELFDependencyExtractor',
    'ELFSymbolExtractor',
    'ELFImportExtractor',
    'ELFExportExtractor',
    'ELFRelocationExtractor',
    'ELFNotesExtractor',
]