slides - the CLIP Lab
... Graph g = … Node root = … root.in = true Worklist wl = {root} Set st = { } foreach v: wl foreach u: v.neigh() if not u.in u.in = true st.add((v, u)) wl.add(u) ...
... Graph g = … Node root = … root.in = true Worklist wl = {root} Set st = { } foreach v: wl foreach u: v.neigh() if not u.in u.in = true st.add((v, u)) wl.add(u) ...
Dynamic Tree Cross Products
... order maintenance structures [6,7] in a CST is complicated: during an insert operation, nodes following the inserted one are possibly shifted, i. e., get a new number. Hence, all sets S(·) containing a shifted node need to be updated. In order to efficiently perform the edgeExpand operation (see Alg ...
... order maintenance structures [6,7] in a CST is complicated: during an insert operation, nodes following the inserted one are possibly shifted, i. e., get a new number. Hence, all sets S(·) containing a shifted node need to be updated. In order to efficiently perform the edgeExpand operation (see Alg ...
Dot Notation in Scheme
... This structure cannot be represented as a proper list since the pointer in the last node is not null. The structure above is a tree, and as a result cannot be represented as a proper list. A proper list is represented as a simple linked list where the last pointer is null. Scheme provides two operat ...
... This structure cannot be represented as a proper list since the pointer in the last node is not null. The structure above is a tree, and as a result cannot be represented as a proper list. A proper list is represented as a simple linked list where the last pointer is null. Scheme provides two operat ...
Text on spatial data structures.
... with that level, called the discriminator. We define the discriminator at level i to be i mod k for k dimensions. For example, assume that we store data organized by xy-coordinates. In this case, k is 2 (there are two coordinates), with the xcoordinate field arbitrarily designated key 0, and the y-c ...
... with that level, called the discriminator. We define the discriminator at level i to be i mod k for k dimensions. For example, assume that we store data organized by xy-coordinates. In this case, k is 2 (there are two coordinates), with the xcoordinate field arbitrarily designated key 0, and the y-c ...
CS503: First Lecture, Fall 2008
... maximum value in the corresponding leaf. This is used as a means of indexing. – Some variations use the minimum or middle. ...
... maximum value in the corresponding leaf. This is used as a means of indexing. – Some variations use the minimum or middle. ...
Practical Suffix Tree Construction
... referenced when performing the count-sort and to find the longest common prefix in each sorted group. fairly complex reference pattern, and there is some locality of reference, so both LRU and ...
... referenced when performing the count-sort and to find the longest common prefix in each sorted group. fairly complex reference pattern, and there is some locality of reference, so both LRU and ...
CS4618: Prerequisite Knowledge of Data Structures
... A sequence is a collection of objects, arranged in some linear order, where duplicates are allowed. We might write them in square brackets. For example, here are three different lists: [a, b, c], [b, a, c] and [a, b, c, a]. Elements in the list are indexed by position, with positions starting from z ...
... A sequence is a collection of objects, arranged in some linear order, where duplicates are allowed. We might write them in square brackets. For example, here are three different lists: [a, b, c], [b, a, c] and [a, b, c, a]. Elements in the list are indexed by position, with positions starting from z ...
CS-184: Computer Graphics
... The best way to reduce the cost is with fast, approximate queries that eliminate most objects quickly Trees with a containment property allow us to do this The cell of a parent completely contains all the cells of its children If a query fails for the cell, we know it will fail for all its children ...
... The best way to reduce the cost is with fast, approximate queries that eliminate most objects quickly Trees with a containment property allow us to do this The cell of a parent completely contains all the cells of its children If a query fails for the cell, we know it will fail for all its children ...
Trees
... its data fields or displaying it. Merely passing over a node from one node to another is not considered visiting the node ...
... its data fields or displaying it. Merely passing over a node from one node to another is not considered visiting the node ...
pptx - Electrical and Computer Engineering
... Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo, Ontario, Canada ece.uwaterloo.ca [email protected] © 20143 by Douglas Wilhelm Harder. Some rights reserved. ...
... Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo, Ontario, Canada ece.uwaterloo.ca [email protected] © 20143 by Douglas Wilhelm Harder. Some rights reserved. ...