فهرس المقالات Reproducing Kernel Hilbert Space

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  1 - Solving Fuzzy Integral Equations of the Second Kind by using the Reproducing Kernel Hilbert Space Method
  صدیقه فرزانه جوان سعید عباسبندی محمدعلی فریبرزی عراقی
  In this study, a new approach based on the Reproducing Kernel Hilbert Space Method is proposed to approximate the solution of the second kind fuzzy linear integral equations. For this purpose, at first by applying the concept of parametric form, the fuzzy integral equat أکثر

  In this study, a new approach based on the Reproducing Kernel Hilbert Space Method is proposed to approximate the solution of the second kind fuzzy linear integral equations. For this purpose, at first by applying the concept of parametric form, the fuzzy integral equation is converted to a system of crisp integral equations. Then, this system is solved by using the reproducing kernel method free of the Gram-Schmidt orthogonalization process. Also, two numerical algorithms are proposed based on applying the Gram-Schmidt process and without using it. The general form of numerical solution accordingly the reproducing kernel method is introduced and the convergence theorem of solution of the proposed scheme to the exact solution is proved. Finally, a sample fuzzy integral equation is solved by means of both suggested algorithms and the results are compared for differents points and levels. Due to the difficulties in applying the Gram-Schmidt process, the obtained results of the new algorithm are satisfactory. تفاصيل المقالة
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  2 - کاربرد روش تابع هسته برای حل یک کلاس از معادلات انتگرال خطی دو بعدی با هسته منفرد ضعیف
  محمد رضا اصلاحچی مریم رضایی
  در این مقاله، یک روش برای حل یک کلاس از معادله انتگرال ولترای خطی دو بعدی نوع دوم با هسته منفرد ضعیف از نوع آبل در فضای هسته‌ی باز تولید شده، ارائه می‌کنیم. این تابع هسته‌ی باز تولید شده در جزئیات بحث شده است. منفردی ضعیف مساله با بکارگیری انتگرال‌گیری جزء به جزء رفع می أکثر

  در این مقاله، یک روش برای حل یک کلاس از معادله انتگرال ولترای خطی دو بعدی نوع دوم با هسته منفرد ضعیف از نوع آبل در فضای هسته‌ی باز تولید شده، ارائه می‌کنیم. این تابع هسته‌ی باز تولید شده در جزئیات بحث شده است. منفردی ضعیف مساله با بکارگیری انتگرال‌گیری جزء به جزء رفع می‌شود. علاوه بر این، انتگرال ناسره متعلق به فضای (L_2 (Ω می‌باشد. در روش ما، جواب دقیق (ϕ(x,t به صورت سری در فضای هسته‌ی باز تولید شده (W(ω نمایش داده می‌شود و جواب تقریبی (ϕ_n (x,t از طریق قطع کردن n جمله اول سری ساخته می‌شود. و در ادامه آنالیز همگرایی روش ثابت می‌شود. همچنین تعدادی مثال‌های عددی که برای نشان دادن کارایی و صحت روش ارائه شده‌‌اند، مطالعه می‌شوند. نتایج بدست آمده نشان می‌دهد که خطای جواب تقریبی، در مفهوم نرم فضای (W(ω، وقتی که تعداد نقاط افزایش می‌یابد، یکنوای نزولی است، همچنین نشان می دهد که روش ساده و کاراست. تفاصيل المقالة
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  3 - Analysis of the Parameter-Dependent Multiplicity of Steady-State Profiles of a Strongly Nonlinear Mathematical Model Arising From the Chemical Reactor Theory
  M. S. Barikbin M. Emamjome M. Nabati
  In this paper, we study the uniqueness and multiplicity of the solutions of a strongly nonlinear mathematical model arising from chemical reactor theory. The analysis is based on the reproducing kernel Hilbert space method. The main aim of this work is to find how much أکثر

  In this paper, we study the uniqueness and multiplicity of the solutions of a strongly nonlinear mathematical model arising from chemical reactor theory. The analysis is based on the reproducing kernel Hilbert space method. The main aim of this work is to find how much information can be predicted using numerical computations. The dependence of the number of solutions on the parameters of the model is also studied. Furthermore, the analytical approximations of all branches of solutions can be calculated by the proposed method. The convergence of the proposed method is proved. Some numerical simulations are presented. تفاصيل المقالة
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  4 - Reproducing Kernel Hilbert Space(RKHS) method for solving singular perturbed initial value problem
  Saeid Abbasbandy Mohammad Aslefallah
  In this paper, a numerical scheme for solving singular initial/boundary value problems presented.By applying the reproducing kernel Hilbert space method (RKHSM) for solving these problems,this method obtained to approximated solution. Numerical examples are given to dem أکثر

  In this paper, a numerical scheme for solving singular initial/boundary value problems presented.By applying the reproducing kernel Hilbert space method (RKHSM) for solving these problems,this method obtained to approximated solution. Numerical examples are given to demonstrate theaccuracy of the present method. The result obtained by the method and the exact solution are foundto be in good agreement with each other and it is noted that our method is of high signicance.We compare our results with other paper. The comparison of the results with exact ones is made toconrm the validity and eciency. تفاصيل المقالة
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  5 - Using Reproducing Kernel for Solving‎ ‎the Lane-Emden Equations‎, ‎Arising in Astrophysics
  Ebrahim Amini Asghar Taheri Majid Abedini
  ‎In this paper‎, ‎we utilize an algorithm for solving nonlinear ordinary differential equations of Lane-Emden type on a semi-infinite interval‎. ‎The algorithm is based on an iterative technique and the‎reproducing kernel Hibert method‎. &lrm أکثر

  ‎In this paper‎, ‎we utilize an algorithm for solving nonlinear ordinary differential equations of Lane-Emden type on a semi-infinite interval‎. ‎The algorithm is based on an iterative technique and the‎reproducing kernel Hibert method‎. ‎We give‎ the convergence analysis for the proposed method‎. ‎The validity and applicability of the proposed‎ ‎method are demonstrated by some numerical examples‎. ‎The obtained results and comparison with‎ ‎other methods provide confirmation for the validity of our numerical method‎. تفاصيل المقالة
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  6 - Solving Fuzzy Impulsive Fractional Differential Equations by Reproducing Kernel Hilbert Space Method
  nematallah najafi nader Biranvand
  The aim of this paper is to use the Reproducing kernel Hilbert Space Method (RKHSM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutionsof this class of equations are a difficult topic to analyze. In this s أکثر

  The aim of this paper is to use the Reproducing kernel Hilbert Space Method (RKHSM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutionsof this class of equations are a difficult topic to analyze. In this study, convergence analysis, estimations error and bounds errors are discussed in detail under some hypotheses which provide the theoretical basis of the proposed algorithm. Some numerical examples indicate that this method is an efficient one to solve the mentioned equations. تفاصيل المقالة