This includes basic control structures in Python: conditional branches, for loops and recursion; functions: defining and calling functions, and recursion; in-built data structures: lists and ...

trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications ...

Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, searching, and sorting. Required for computer ...

which we term SGL-tree (Principal Graph and Structure Learning for tree), to learn tree structure for a large data set by considering the clustering of data points similarly to that in DDRTree.