Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userحل المعادلات التفاضلية الجزئية باستخدام طريقة الشبكة العددية
1747
2 2
0.0
(
0
)
Added by
جامعة القادسية مشروع تخرج
Publication date
2018
fields
Mathematics
and research's language is
العربية
Authors
سجاد عبد الحر كريم( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
في هذا البحث درسنا حل المعادالت التفاضلية الجزئية باستخدام الطرق العددية . تناول البحث دراسة حل المعادلات التفاضلية الجزئية من النوع الماكفئ و الناقصي و الزائدي ، وتم استخدام طريقة الشبكة للعقد العددية و التي تمثل حالة من حاالت الفروق المحددة . حيث ميزنا في البحث نوعين من الحل وهما الحل الداخلي و الحل الحدودي حيث الحل الداخلي يعتمد على العقد الداخلية للشبكة اما الحل الحدودي فيعتمد على العقد الحدودية للشبكة باالضافة الى ايجاد الحل التحليلي للمعادلات لمقارنة النتائج ، كما تطرقنا الى ايجاد حل مسألة البالس و مسألة بواسون ومسألة ديريشيلي الحدودية الهمية هذه المعادلات في الجانب التطبيقي تم استخدام برنامج ماتالب لايجاد قيم الجداول لقيم الفروقات الحدودية. قمنا باشتقاق صيغة جديدة تعالج مسألة حل المعادلات التفاضلية الجزئية التي تحتوي على ثالث متغيرات مستقلة.
No English abstract
References used
Hockney, R.W., East wood,J.E, Computer simulation using particles, Mc Graw-Hill, , 1987
rate research
Read More
In this work, we present programming solutions for some nonlinear partial differential equations, which are the advection equation, the third-order KdV
equations, and a family of Burgers' equations.
In this article, powerful approximate analytical
methods, called Adomian decomposition method and
variational iteration method are introduced and applied to
obtaining the approximate analytical solutions for an
important models of linear and non-
linear partial differential
equations such as ( nonlinear Klein Gordon equation -
nonlinear wave equation - linear telegraph equation -
nonlinear diffusion convection equation ) .
The studied examples are used to reveal that those methods are
very effective and convenient for solving linear and nonlinear
partial differential equations .
Numerical results and comparisons with the exact solution are
included to show validity, ability, accuracy, strength and
effectiveness of those techniques.
معادلة الموجة
wave equation
طريقة تفريق أدوميان
طريقة التكرار التغايري
حدودية أدوميان
معادلة كلاين غوردن
معادلة التلغراف
معادلة الانتشار الحراري
Adomian Decomposition Method
Variational Iteration Method
Adomian Polynomial
Klien Gordon equation
Telegraph equation
Diffusion Convection equation
المزيد..
In this paper: the Daubechies families of wavelets Daubechies
and multi resolution analysis based on Fast Fourier Transform
algorithm (FWT) have been applied to solve some differential
equations with Boundary Value.
In this paper, we introduce a numerical method for solving systems of high-index differential algebraic equations. This method is based on approximating the exact solution by spline polynomial of degree eight with five collocation points to find the
numerical solution in each step. The study shows that the method when applied to linear differential-algebraic systems with index equal one is stable and convergent of order 8, while it is stable and convergent of order 9-u for index equal u .
Numerical experiments for four test examples and comparisons with other available results are given to illustrate the applicability and efficiency of the presented method
Machine learning methods for financial document analysis have been focusing mainly on the textual part. However, the numerical parts of these documents are also rich in information content. In order to further analyze the financial text, we should as
say the numeric information in depth. In light of this, the purpose of this research is to identify the linking between the target cashtag and the target numeral in financial tweets, which is more challenging than analyzing news and official documents. In this research, we developed a multi model fusion approach which integrates Bidirectional Encoder Representations from Transformers (BERT) and Convolutional Neural Network (CNN). We also encode dependency information behind text into the model to derive semantic latent features. The experimental results show that our model can achieve remarkable performance and outperform comparisons.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
