نتایج جستجو برای: reduced dierential transform method

تعداد نتایج: 2221317  

Journal: :نظریه تقریب و کاربرد های آن 0
a. neamaty department of mathematics, university of mazandaran, babolsar, iran b. agheli department of mathematics, qaemshahr branch, islamic azad university, qaemshahr, iran r. darzi department of mathematics, neka branch, islamic azad university, neka, iran

in this work, we have applied elzaki transform and he's homotopy perturbation method to solvepartial di erential equation (pdes) with time-fractional derivative. with help he's homotopy per-turbation, we can handle the nonlinear terms. further, we have applied this suggested he's homotopyperturbation method in order to reformulate initial value problem. some illustrative examples...

Journal: :Quarterly Journal of the Royal Meteorological Society 2015

2012
Somayeh Sadeghi Sajjad Dadkhah

Due to availability of powerful image processing software and improvement of human computer knowledge, it becomes easy to tamper images. Manipulation of digital images in different fields like court of law and medical imaging create a serious problem nowadays. Copy-move forgery is one of the most common types of forgery which copies some part of the image and pastes it to another part of the sa...

Journal: :International Journal of Modern Physics E 2009

In this paper, we propose a technique for determining a source term in an inverse heat conduction problem (IHCP) using Radial Basis Functions (RBFs). Because of being very suitable instruments, the RBFs have been applied for solving Partial Dierential Equations (PDEs) by some researchers. In the current study, a stable meshless method will be pro- posed for solving an (I...

Hossein Towsyfyan

The purpose of this study is to demonstrate the potential of Imperialist CompetitiveAlgorithm (ICA) for solving Blasius dierential equation. This algorithm is inspiredby competition mechanism among Imperialists and colonies and has demonstrated excellentcapabilities such as simplicity, accuracy, faster convergence and better global optimumachievement in contrast to other evolutionary algorithms...

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