Sachin Bhalekar

ORCID: 0000-0003-1981-8171
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About
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Research Areas
  • Fractional Differential Equations Solutions
  • Chaos control and synchronization
  • Advanced Differential Equations and Dynamical Systems
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Numerical methods for differential equations
  • Nonlinear Dynamics and Pattern Formation
  • Quantum chaos and dynamical systems
  • Iterative Methods for Nonlinear Equations
  • Nonlinear Differential Equations Analysis
  • Advanced Control Systems Design
  • Differential Equations and Numerical Methods
  • Nonlinear Waves and Solitons
  • Numerical methods in engineering
  • Chaos-based Image/Signal Encryption
  • Brake Systems and Friction Analysis
  • Mathematical Dynamics and Fractals
  • Advanced Adaptive Filtering Techniques
  • Spectroscopy and Quantum Chemical Studies
  • Advanced Optimization Algorithms Research
  • Mathematical functions and polynomials
  • Electron Spin Resonance Studies
  • Neural Networks Stability and Synchronization
  • advanced mathematical theories
  • Diverse Scientific and Engineering Research
  • Electrical Contact Performance and Analysis

University of Hyderabad
2019-2025

Rashtrasant Tukadoji Maharaj Nagpur University
2022-2023

Shivaji University
2012-2022

Ramakrishna Mission Vidyalaya
2018

Université de Bordeaux
2018

Institut Polytechnique de Bordeaux
2018

Centre National de la Recherche Scientifique
2018

Necmettin Erbakan University
2018

Savitribai Phule Pune University
2007-2012

10.1016/j.cnsns.2009.12.016 article EN Communications in Nonlinear Science and Numerical Simulation 2009-12-18

10.1016/j.jmaa.2008.04.065 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 2008-05-04

10.1016/j.camwa.2009.07.003 article EN publisher-specific-oa Computers & Mathematics with Applications 2009-07-18

A new iterative method introduced by Daftardar‐Gejji and Jafari (2006) (DJ Method) is an efficient technique to solve nonlinear functional equations. In the present paper, sufficiency conditions for convergence of DJM have been presented. Further equivalence Adomian decomposition established.

10.1155/2011/989065 article EN cc-by International Journal of Differential Equations 2011-01-01

10.1016/j.camwa.2010.12.079 article EN publisher-specific-oa Computers & Mathematics with Applications 2011-02-05

10.1016/j.camwa.2009.08.018 article EN publisher-specific-oa Computers & Mathematics with Applications 2009-09-02

10.1016/j.cnsns.2015.01.004 article EN Communications in Nonlinear Science and Numerical Simulation 2015-01-19

10.1016/j.cnsns.2009.08.015 article EN Communications in Nonlinear Science and Numerical Simulation 2009-09-03

Abstract In this article, we apply the new iterative method proposed by Daftardar‐Gejji and Jafari (J Math Anal Appl 316, (2006), 753–763) for solving various linear nonlinear evolution equations. The results obtained are compared with existing methods. © 2009 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2010

10.1002/num.20463 article EN Numerical Methods for Partial Differential Equations 2009-04-20

10.1016/j.camwa.2012.01.069 article EN publisher-specific-oa Computers & Mathematics with Applications 2012-02-23

The fundamental description of relaxation (T 1 and T 2 ) in nuclear magnetic resonance (NMR) is provided by the Bloch equation, an integer-order ordinary differential equation that interrelates precession magnetization with time- space-dependent relaxation. In this paper, we propose a fractional order includes extended model time delays. derivative embeds fading power law form system memory while delay averages present value earlier one. analysis shows different patterns stability behavior...

10.1142/s021812741250071x article EN International Journal of Bifurcation and Chaos 2012-03-14

Partialintegro-differential equations (PIDE) occur naturally in various fields of science, engineering and social sciences. In this article, we propose a most general form linear PIDE with convolution kernel. We convert the proposed to an ordinary differential equation (ODE) using Laplace transform (LT). Solving ODE applying inverse LT exact solution problem is obtained. It observed that simple reliable technique for solving such equations. A variety numerical examples are presented show...

10.5923/j.ajcam.20120203.06 article EN American Journal of Computational and Applied Mathematics 2012-08-31

A fractional version of logistic equation is solved using new iterative method proposed by Daftardar-Gejji and Jafari (2006). Convergence the series solutions obtained discussed. The are compared with Adomian decomposition homotopy perturbation method.

10.1155/2012/975829 article EN cc-by International Journal of Differential Equations 2012-01-01

This paper deals with the stability and bifurcation analysis of a general form equation Dαx(t)=g(x(t),x(t−τ)) involving derivative order α ∈ (0, 1] constant delay τ ≥ 0. The equilibrium points is presented in terms regions critical surfaces. We provide necessary condition to exist chaos system also. A wide range differential equations can be analyzed using results proposed this paper. illustrative examples are provided explain theory.

10.1063/1.4958923 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2016-07-19

The differential equations involving two discrete delays are helpful in modeling different processes one model. We provide the stability and bifurcation analysis fractional order delay equation Dαx(t)=ax(t)+bx(t−τ)−bx(t−2τ) ab-plane. Various regions of include stable, unstable, single stable region (SSR), switch (SS). In region, system is for all values. SSR has a critical value that bifurcates unstable behavior. Switching behaviors observed SS region.

10.1063/5.0240447 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2025-01-01

Fractional order differential and difference equations are used to model systems with memory. Variable fractional proposed where the memory changes in time. We investigate stability conditions for linear variable is periodic function period $T$. give a general procedure arbitrary $T$ $T=2$ $T=3$, we exact results. For $T=2$, find that lower determines of equations. odd $T$, numerical simulations indicate can approximately determine from mean value variables.

10.48550/arxiv.2502.07290 preprint EN arXiv (Cornell University) 2025-02-11

10.1134/s0965542524702014 article EN Computational Mathematics and Mathematical Physics 2025-02-01

10.1007/s11760-012-0330-4 article EN Signal Image and Video Processing 2012-05-12

10.1007/s40009-017-0565-2 article EN National Academy Science Letters 2017-08-01
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