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convex optimization

topic2 events
papersTODAY 04:00 UTC

cvxgenrust generates custom Rust solvers for convex optimization

Researchers released cvxgenrust, an open-source tool that produces tailored Rust code for solving families of parameterized convex optimization problems written in CVXPY. The system canonicalizes a problem family and derives affine mappings onto Clarabel cone programs. The paper targets use cases where a solver must be recompiled for many related parameter values rather than solved from scratch each time.

open-source/rust/optimization/code-generation
papersSEP 11 04:00 UTC

Silver Rate Proved Near-Optimal for Accelerated Gradient Descent

Researchers analyze how much predetermined stepsizes can speed up gradient descent in smooth convex optimization. They establish a lower bound matching the so-called silver rate, up to a doubly logarithmic correction factor. The result indicates that this rate is essentially the best achievable acceleration for the setting studied.

optimization/gradient-descent/convex-optimization/theory