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 ...
The megalithic site of Gunung Padang in the highlands of western Java was constructed some 2,000 years ago over the course of several generations. Similar stone monuments are found across the ...
Abstract: A coloring of a graph is an assignment of colors to vertices such that no two neighboring vertices have the same color. The need for memory-efficient coloring algorithms is motivated by ...
A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...
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 ...
This repository contains Data Structures and Algorithms (DSA) lab exercises implemented in Java as part of the CDAC curriculum. It covers fundamental problem-solving techniques, algorithmic complexity ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback