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  2. Sethi–Ullman algorithm - Wikipedia

    en.wikipedia.org/wiki/Sethi–Ullman_algorithm

    The simple Sethi–Ullman algorithm works as follows (for a load/store architecture): . Traverse the abstract syntax tree in pre- or postorder . For every leaf node, if it is a non-constant left-child, assign a 1 (i.e. 1 register is needed to hold the variable/field/etc.), otherwise assign a 0 (it is a non-constant right child or constant leaf node (RHS of an operation – literals, values)).

  3. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once. Such traversals are classified by the order in which the nodes are visited.

  4. Kleene–Brouwer order - Wikipedia

    en.wikipedia.org/wiki/Kleene–Brouwer_order

    It is a generalization to potentially-infinite trees of the postorder traversal of a finite tree: at every node of the tree, the child subtrees are given their left to right ordering, and the node itself comes after all its children. The fact that the Kleene–Brouwer order is a linear ordering (that is, that it is transitive as well as being ...

  5. Euler tour technique - Wikipedia

    en.wikipedia.org/wiki/Euler_tour_technique

    The Euler tour technique (ETT), named after Leonhard Euler, is a method in graph theory for representing trees. The tree is viewed as a directed graph that contains two directed edges for each edge in the tree. The tree can then be represented as a Eulerian circuit of the directed graph, known as the Euler tour representation (ETR) of the tree

  6. Prim's algorithm - Wikipedia

    en.wikipedia.org/wiki/Prim's_algorithm

    Let tree Y 2 be the graph obtained by removing edge f from and adding edge e to tree Y 1. It is easy to show that tree Y 2 is connected, has the same number of edges as tree Y 1 , and the total weights of its edges is not larger than that of tree Y 1 , therefore it is also a minimum spanning tree of graph P and it contains edge e and all the ...

  7. Order statistic tree - Wikipedia

    en.wikipedia.org/wiki/Order_statistic_tree

    To turn a regular search tree into an order statistic tree, the nodes of the tree need to store one additional value, which is the size of the subtree rooted at that node (i.e., the number of nodes below it). All operations that modify the tree must adjust this information to preserve the invariant that size[x] = size[left[x]] + size[right[x]] + 1

  8. List of phylogenetics software - Wikipedia

    en.wikipedia.org/wiki/List_of_phylogenetics_software

    Rooted trees, tanglegrams, consensus networks, hybridization networks: Daniel Huson et al. EXACT [15] [16] EXACT is based on the perfect phylogeny model, and uses a very fast homotopy algorithm to evaluate the fitness of different trees, and then it brute forces the tree search using GPUs, or multiple CPUs, on the same or on different machines

  9. Strahler number - Wikipedia

    en.wikipedia.org/wiki/Strahler_number

    All trees in this context are directed graphs, oriented from the root towards the leaves; in other words, they are arborescences. The degree of a node in a tree is just its number of children. One may assign a Strahler number to all nodes of a tree, in bottom-up order, as follows: If the node is a leaf (has no children), its Strahler number is one.