Metadata
Mathematics Graduate Analyze Medium-
Subject
Mathematics
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Education level
Graduate
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Cognitive goals
Analyze
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Difficulty estimate
Medium
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Tags
Krylov, Conjugate Gradient, GMRES, preconditioning, sparse linear systems, convergence
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Test students' ability to analyze convergence behavior of Conjugate Gradient and GMRES for large sparse linear systems (SPD and nonsymmetric), including effects of eigenvalue distribution and condition number, finite-precision breakdowns, restart strategies, and residual/norm histories; evaluate and compare common preconditioners (Jacobi, incomplete Cholesky/ILU, SSOR, AMG), estimate iteration counts, justify preconditioner choice, and provide concise derivations and practical tuning/implementation recommendations based on diagnostics.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.