Structured (min, +)-Convolution And Its Applications For The Shortest Vector, Closest Vector, and Separable Nonlinear Knapsack Problems. - Dmitry V. GRathoreribanov; Dmitriy S. Malyshev; Ivan A. Shumilov (CoRR, 2022)

Structured $( min ,+)$-convolution and its applications for the shortest/closest vector and nonlinear knapsack problems. - Dmitry V. Gribanov; Ivan A. Shumilov; Dmitriy S. Malyshev (Optim. Lett., 2024)

On Δ-modular integer linear problems in the canonical form and equivalent problems. - Dmitry V. Gribanov; Ivan A. Shumilov; Dmitriy S. Malyshev; Panos M. Pardalos (J. Glob. Optim., 2024)

On a Simple Connection Between Δ-Modular ILP and LP, and a New Bound on the Number of Integer Vertices. - Dmitry V. Gribanov; Dmitry S. Malyshev; Ivan A. Shumilov (Oper. Res. Forum, 2024)

Faster algorithms for sparse ILP and hypergraph multi-packing/multi-cover problems. - Dmitry V. Gribanov; Ivan A. Shumilov; Dmitry S. Malyshev; Nikolai Yu. Zolotykh (J. Glob. Optim., 2024)