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This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Finite Element Method knowledge and support exam preparation. Choose a topic below to get started.
1. |
Conjugate gradient algorithm can be accelerated by using _________ |
A. | Algorithm strategies |
B. | Preconditioning strategies |
C. | Conditioning strategies |
D. | Computer strategies |
Answer» C. Conditioning strategies | |
2. |
Conjugate gradient method includes several ______ |
A. | Computer codes |
B. | Programs |
C. | Algorithms |
D. | Matrices |
Answer» B. Programs | |
3. |
Conjugate gradient method is implemented in _________ |
A. | Algorithm solving |
B. | Iterative solving |
C. | Program solving |
D. | Program CG solving |
Answer» E. | |
4. |
This method is robust and has ________ n iterations. |
A. | Diverges |
B. | Converges |
C. | Converge and diverge |
D. | Symmetric |
Answer» C. Converge and diverge | |
5. |
The iterations are continued until gkTgx reaches a ________ (here k=0 1 2 3 ) |
A. | Small value |
B. | Infinite value |
C. | Large value |
D. | Negative value |
Answer» B. Infinite value | |
6. |
Which version is used to solve conjugate gradient method of the algorithm of symmetric matrices? |
A. | Rayleighs version |
B. | Fletcher-Reeves version |
C. | Frontal method |
D. | Galerkins method |
Answer» C. Frontal method | |
7. |
Conjugate gradient method is for only _________ |
A. | Non symmetric matrix |
B. | Symmetric matrix |
C. | Symmetric and Non symmetric matrix |
D. | Identity matrix |
Answer» C. Symmetric and Non symmetric matrix | |
8. |
Conjugate gradient method is a ________ |
A. | Standard method |
B. | Equation method |
C. | Iterative method |
D. | Elimination method |
Answer» D. Elimination method | |