Deepmala
Indian Statistical Institute
37 Papers
117 Citations
Deepmala is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Lipschitz continuity & Uniqueness. The author has an hindex of 10, co-authored 25 publications. Previous affiliations of Deepmala include Indian Institutes of Information Technology & Pandit Ravishankar Shukla University.
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Papers
Inverse result in simultaneous approximation by Baskakov-Durrmeyer-Stancu operators
TL;DR: In this paper, an inverse result in simultaneous approximation for Baskakov-Durrmeyer-Stancu type operators has been obtained, where the inverse result holds for all types of type operators.
Rate of Approximation by Finite Iterates of q-Durrmeyer Operators
Asha Ram Gairola,Deepmala,Lakshmi Narayan Mishra +2 more
- 24 Mar 2016
TL;DR: In this article, the iterates of the $$q$$¯¯ -Durrmeyer operators are introduced using a modification, and the convergence results are obtained in terms of the modulus of smoothness.
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On the trigonometric approximation of signals belonging to generalized weighted Lipschitz W(Lr, ξ(t))(r ⩾ 1)-class by matrix (C1 ⋅ Np) operator of conjugate series of its Fourier series
TL;DR: A new theorem on the degree of approximation of function f ∼, conjugate to a 2 π periodic function f belonging to the generalized weighted Lipschitz W ( L r, ξ ( t ) ) ( r ⩾ 1 ) -class by dropping the monotonicity condition on the generating sequence { p n } has been established.
56
Trigonometric approximation of periodic Signals belonging to generalized weighted Lipschitz W'(L_r,ξ(t)),(r≥1) -- class by Nörlund-Euler (N,p_n) (E,q) operator of conjugate series of its Fourier series
TL;DR: In this article, an attempt is made to determine a theorem on the degree of approximation of a function f̃, conjugate to a 2π -periodic signal belonging to the generalized weighted Lipschitz W ′(Lr,ξ (t)), (r 1) -class by product (N, pn)(E,q) summability, which in turn generalizes the results of Mishra et al.
Duality Relations for a Class of a Multiobjective Fractional Programming Problem Involving Support Functions
TL;DR: In this paper, the definition of higher-order -invexity was introduced for a differentiable function and three duality models for a multiobjective fractional programming problem involving non-differentiability in terms of support functions have been formulated and usual duality relations have been established under the higher order -invariant assumptions.