scholarly journals A GENERALIZED CONJUGATE GRADIENT METHOD FOR THE NUMERICAL SOLUTION OF ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS

1976 ◽  
pp. 309-332 ◽  
Author(s):  
Paul Concus ◽  
Gene H. Golub ◽  
Dianne P. O'Leary
Keyword(s):  
Partial Differential Equations ◽  
Differential Equations ◽  
Numerical Solution ◽  
Conjugate Gradient Method ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Elliptic Partial Differential Equations ◽  
Partial Differential

Construction of a Preconditioner for General Elliptic Problems Using Riesz Map

2020 ◽  
Vol 18 (01) ◽  
pp. 2050031
Author(s):  
Raghia El Hanine ◽  
Said Raghay ◽  
Hassane Sadok
Keyword(s):  
Hilbert Space ◽  
Partial Differential Equations ◽  
Differential Equations ◽  
Numerical Solution ◽  
Conjugate Gradient Method ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Two Dimensional ◽  
General Elliptic ◽  
Symmetric Systems

The current work aspires to design and study the construction of an efficient preconditioner for linear symmetric systems in a Hilbert space setting. Compliantly to Josef Málek and Zdeněk Strakoš’s work [Preconditioning and the Conjugate Gradient Method in the Context of Solving[Formula: see text] PDEs, Vol. 1 (SIAM, USA).], we shed new light on the dependence of algebraic preconditioners with the resolution steps of partial differential equations (PDEs) and describe their impact on the final numerical solution. The numerical strength and efficiency of the proposed approach is demonstrated on a two-dimensional examples.

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