In a stunning upset at the AtCoder World Tour Finals 2025, Polish programmer Przemysaw Debiak, bested OpenAI's custom-built ...

With the observation that many genomics kernels are dominated by dynamic programming (DP) algorithms, this paper presents GenDP, a framework of dynamic programming acceleration including DPAx, a DP ...

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

A self-taught Google engineer recommends eight valuable Google programming courses that can be audited or accessed for free.

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

This progress is essential for making IP a more accessible and powerful tool for solving real-world problems. With continued research and development, we can expect further advancements in integer ...

To improve the production efficiency and quality of 3D mesh animation, this study innovatively integrates integer programming, nonlinear constraint optimization, and machine learning algorithms to ...

optimization gurobi exact-algorithm integer-programming benders-decomposition location-allocation gurobipy Updated on May 19, 2022 Python ...