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From the 1 of 13 papers with an AI index.

most citedFinding any given 2-factor in sparse pseudorandom graphs efficiently

4 citations

13 papers

math.OC2026

Output Regulation for Impedance Passive Systems with Input Saturation

Thavamani Govindaraj, Lassi Paunonen

The paper develops a control strategy for infinite‑dimensional systems that are impedance passive and have input saturation, enabling accurate output tracking and disturbance rejec…

cs.SE20263 cited

LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2

Zirui Li, Stephan Husung, Haoze Wang

Cross-organizational collaboration in Model-Based Systems Engineering (MBSE) faces many challenges in achieving semantic alignment across independently developed system models. Sys…

physics.flu-dyn2026

Transition to dilatation-dominated isothermal compressible turbulence

Shadab Alam, Christoph Federrath, Jörg Schumacher

The kinetic energy dissipation rate is of central importance for small-scale statistics in turbulent flows. Here, we report a transition to the dilatation-dominated regime of three…

math.OC2026

Warm-starting outer approximation for parameterized convex MINLP

Erik Tamm, Gabriele Eichfelder, Jan Kronqvist

We address the challenge of efficiently solving parameterized sequences of convex Mixed-Integer Nonlinear Programming (MINLP) problems through warm-starting techniques. We focus on…

math.CO20264 cited

Finding any given 2-factor in sparse pseudorandom graphs efficiently

Jie Han, Yoshiharu Kohayakawa, Patrick Morris +1

Given an -vertex pseudorandom graph and an -vertex graph with maximum degree at most two, we wish to find a copy of in , i.e.\ an embedding $φ\colon V(H)\to V…

physics.flu-dyn2026

Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer

Fabian Schindler, Jörg Schumacher

We present a quantum-enhanced Markov chain Monte Carlo (QE-MCMC) method to sample turbulent acceleration vectors from a joint target distribution that depends on all three componen…