8 (L{Lun(t)}) = 8 (sm L{un(t)} – sm-¹un (0) - ... -u (m-1) ( = s™ 8 (L{un(t)}). Therefore, we get (0)) L{λ(t)} sm Therefore, we have the following iteration algorithm: 1 (m). L{un+1(t)} = L{un(t)} - L{L(m³ un(t) + R un(t) + N un(t) − 9 ; g(t)} sm (m). - = L{un(t)}-{Lun(t)}- L{Run(t) + Nun(t) − g(t)} = L{un(t)} - - sm sm sm (sm L{un(t)}-sm-un (0) L{Run(t) + Nun(t) − g(t)} -um-1) (0)) · + (0) %/n 2 + (0) ³n == ամ 1 (m-1) + sm Un '(0) - 1 sm L{Run(t) + Nun(t) − g(t)} Finally, the approximate solution is given by u(x,t) = lim un(x,t) 12-00 to solve the following partial differential equations: E u₁+uuxuxx, u(x, 0) = x, 00 00
8 (L{Lun(t)}) = 8 (sm L{un(t)} – sm-¹un (0) - ... -u (m-1) ( = s™ 8 (L{un(t)}). Therefore, we get (0)) L{λ(t)} sm Therefore, we have the following iteration algorithm: 1 (m). L{un+1(t)} = L{un(t)} - L{L(m³ un(t) + R un(t) + N un(t) − 9 ; g(t)} sm (m). - = L{un(t)}-{Lun(t)}- L{Run(t) + Nun(t) − g(t)} = L{un(t)} - - sm sm sm (sm L{un(t)}-sm-un (0) L{Run(t) + Nun(t) − g(t)} -um-1) (0)) · + (0) %/n 2 + (0) ³n == ամ 1 (m-1) + sm Un '(0) - 1 sm L{Run(t) + Nun(t) − g(t)} Finally, the approximate solution is given by u(x,t) = lim un(x,t) 12-00 to solve the following partial differential equations: E u₁+uuxuxx, u(x, 0) = x, 00 00
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.2: Direct Methods For Solving Linear Systems
Problem 3CEXP
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This picture shows the simplifying steps of how to derive the Laplace variational lteration method with the same steps and the same method. Please derive the Elzaki variational lteration method. and then solve the equation below in this new way.
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