Metadata
Mathematics Graduate Analyze Medium-
Subject
Mathematics
-
Education level
Graduate
-
Cognitive goals
Analyze
-
Difficulty estimate
Medium
-
Tags
Krylov, Conjugate Gradient, GMRES, preconditioning, eigenvalues, spectral analysis
-
Number of questions
5
-
Created on
-
Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
-
License
CC0 Public domain
-
Prompt
Assess students' ability to analyze convergence and spectral properties of Krylov subspace methods (Conjugate Gradient and GMRES) for large sparse linear systems, including links between eigenvalue distribution, condition number and polynomial approximation, interpretation of Ritz values and residual histories, effects of nonnormality, preconditioning strategies, and restarting.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.