Details

Autor(en) / Beteiligte

• Singh, Jagdev
• Kumar, Devendra
• Swroop, Ram
• Kumar, Sunil

Titel

An efficient computational approach for time-fractional Rosenau–Hyman equation

Ist Teil von

• Neural computing & applications, 2018-11, Vol.30 (10), p.3063-3070

Ort / Verlag

London: Springer London

Erscheinungsjahr

2018

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this work, we concentrate on the analysis of the time-fractional Rosenau–Hyman equation occurring in the formation of patterns in liquid drops via q -homotopy analysis transform technique and reduced differential transform approach. The q -homotopy analysis transform algorithm can provide rapid convergent series by choosing the appropriate values of auxiliary parameters ħ and n at large domain. The reduced differential transform technique gives wider applicability due to reduction in computations and makes the calculation much simpler and easier. The proposed techniques are realistic and free from any assumption and perturbation for solving the time-fractional Rosenau–Hyman equation.