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Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices
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The minimization of certain nondifferentiable sums of eigenvalues of symmetric matrices
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Linear programming with matrix variables
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inferred← citeshttps://doi.org/10.68381/jca03011openalex-snapshot
On Extreme Singular Values of Matrix Valued Functions
inferred← citeshttps://doi.org/10.68381/jca06015openalex-snapshot
Graph-Convex Mappings and K-Convex Functions
inferred← citeshttps://doi.org/10.68381/jca09023openalex-snapshot
On Subgradients of Spectral Functions
inferred← citeshttps://doi.org/10.70675/5e767db6z76ccz42f4z86e3z76c11cd1b69fopenalex-snapshot
Distance metric learning for image and webpage comparison
inferred← citeshttps://doi.org/10.70675/d5155bc3z5e94z42cezb0aaza53631d3780copenalex-snapshot
Optimal transport in high dimension : obtaining regularity and robustness using convexity and projections
inferred← citeshttps://doi.org/10.7282/t3k64nnbopenalex-snapshot
Scaling Dualities And Self-Concordant Homogeneous Programming In Finite Dimensional Spaces
inferred← citeshttps://doi.org/10.7282/t3rn3749openalex-snapshot
New computational aspects of discrepancy theory
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