The paper proves an extended convergence rate for inner-product norms and a dispersion theorem for cut-normals under strict convexity, then validates an adaptive metric approach numerically on three test problems.
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Adaptive Metrics for Norm-Minimization-Based Outer Approximation in Convex Vector Optimization
The paper proves an extended convergence rate for inner-product norms and a dispersion theorem for cut-normals under strict convexity, then validates an adaptive metric approach numerically on three test problems.