The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...
The study of graph colouring has long been a central topic in discrete mathematics, with a prominent focus on optimising the assignment of labels or colours to vertices such that adjacent vertices are ...
Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself.Clear plotting improves when scatte ...
Abstract: Coarse-grained Reconfigurable Architecture (CGRA) is a competitive accelerator architecture for computation-intensive loop kernels. Spatial CGRA is a typical CGRA that performs all the ...
Abstract: We present a hybrid approach combining Reinforcement Learning (RL) with the TabuCol, which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by ...
A custom Home Assistant Lovelace card that visualizes hourly energy prices or 15-minutes energy prices on a timeline , circle or graph. Prices are color-coded in relation to the daily average, so you ...
np-complete-program-solver/ ├── src/ │ ├── problems/ # NP-complete 문제 정의 │ ├── solvers/ # 다양한 솔버 구현 │ │ ├── traditional/ # 전통적 알고리즘 │ │ ├── ml/ # 머신러닝 기반 ...
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