Ratikanta Behera
Orcid: 0000-0002-6237-5700
According to our database1,
Ratikanta Behera authored at least 47 papers
between 2013 and 2026.
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Bibliography
2026
Comput. Appl. Math., December, 2026
An efficient hybrid numerical approach for time-fractional sub-diffusion equations with multi-singularities.
Numer. Algorithms, May, 2026
CoRR, May, 2026
A Family of Iterative Methods for Computing Generalized Inverses of Quaternion Matrices and its Applications.
CoRR, May, 2026
CoRR, April, 2026
J. Appl. Math. Comput., March, 2026
Second-Generation Wavelet-inspired Tensor Product with Applications in Hyperspectral Imaging.
CoRR, January, 2026
Neural Networks, 2026
M-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors.
J. Comput. Appl. Math., 2026
Zeroing neural network model for finding Moore Penrose inverse of time-varying tensors with applications in imaging.
Neurocomputing, 2026
Physics-informed fractional machine intelligence and space-time wavelet frameworks for non-local integro-partial differential equations involving weak singularities.
Commun. Nonlinear Sci. Numer. Simul., 2026
Robust low-rank tensor completion based on M-product with weighted correlated total variation and sparse regularization.
Appl. Math. Comput., 2026
2025
Wavelet-Accelerated Physics-Informed Quantum Neural Network for Multiscale Partial Differential Equations.
CoRR, December, 2025
Efficient iterative methods for computing generalized inverse of tensors based on t-product.
Comput. Appl. Math., October, 2025
J. Appl. Math. Comput., September, 2025
RGDBEK: Randomized Greedy Double Block Extended Kaczmarz Algorithm with Hybrid Parallel Implementation and Applications.
CoRR, September, 2025
Numer. Linear Algebra Appl., February, 2025
Two-step parameterized tensor-based iterative methods for solving 𝒜<sub>*M</sub>𝒳<sub>*M</sub>ℬ=𝒞.
CoRR, February, 2025
Simultaneous space-time Hermite wavelet method for time-fractional nonlinear weakly singular integro-partial differential equations.
Commun. Nonlinear Sci. Numer. Simul., 2025
Enhancing accuracy with an adaptive discretization for the non-local integro-partial differential equations involving initial time singularities.
Comput. Math. Appl., 2025
2024
An efficient wavelet-based physics-informed neural networks for singularly perturbed problems.
CoRR, 2024
<i>M</i>-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors.
CoRR, 2024
CoRR, 2024
2023
Neural Comput. Appl., August, 2023
A novel higher-order numerical method for parabolic integro-fractional differential equations based on wavelets and L2-1<sub>σ</sub> scheme.
CoRR, 2023
Comput. Appl. Math., 2023
2022
Numer. Linear Algebra Appl., 2022
A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application.
J. Comput. Appl. Math., 2022
A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations.
Neurocomputing, 2022
2021
Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion.
Math. Comput. Simul., 2021
2020
Numer. Linear Algebra Appl., 2020
Comput. Appl. Math., 2020
Comput. Appl. Math., 2020
2017
Approximation of the differential operators on an adaptive spherical geodesic grid using spherical wavelets.
Math. Comput. Simul., 2017
2015
Multilevel approximation of the gradient operator on an adaptive spherical geodesic grid.
Adv. Comput. Math., 2015
2013
Approximate solution of modified Camassa-Holm and Degasperis-Procesi equations using Wavelet Optimized Finite difference Method.
Int. J. Wavelets Multiresolution Inf. Process., 2013