An adjacency list is a fundamental data structure used to represent graphs, where each vertex maintains a list of its adjacent vertices.
An in-depth exploration of Computational Complexity, examining the resource requirements of algorithms, historical context, types, key events, mathematical models, and its significance.
The 'Curse of Dimensionality' refers to the exponential increase in complexity and computational cost associated with analyzing mathematical models as the number of variables or dimensions increases, particularly prevalent in fields such as economics, machine learning, and statistics.
Graph Isomorphism is a concept in graph theory where two graphs can be transformed into each other by renaming vertices, indicating structural similarity.
The No Free Lunch Theorem asserts that all optimization algorithms are equivalent in performance when averaged over all possible problems.
