Tree-based Data Structures for Triangle Mesh Connectivity Encoding
... In the last years the increasing popularity of triangle meshes has rapidly accelerated the pace of research in the area of mesh encoding. As a result, many diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particu ...
... In the last years the increasing popularity of triangle meshes has rapidly accelerated the pace of research in the area of mesh encoding. As a result, many diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particu ...
ppt
... • OS & file system view – File is collection of disk blocks — i.e., a container – File System maps file names and offsets to disk blocks ...
... • OS & file system view – File is collection of disk blocks — i.e., a container – File System maps file names and offsets to disk blocks ...
SpatialDataStructure..
... • Lists should be lightweight (arrays are likely a good idea) – If you have enough memory, each cell location can have a fixed array size. (May need to deal with overflow – either per-grid cell, or as a global overflow list) • If arrays are unordered, adding and removing elements is fast (how?) 11-1 ...
... • Lists should be lightweight (arrays are likely a good idea) – If you have enough memory, each cell location can have a fixed array size. (May need to deal with overflow – either per-grid cell, or as a global overflow list) • If arrays are unordered, adding and removing elements is fast (how?) 11-1 ...
kd Range Search with Binary Patricia Tries
... points. All points are stored in the leaves. Devroye et al. [16] analyzed range search on squarish k-d trees and random k-d trees [10]. The k-d-B tree [33] combines properties of both the adaptive k-d tree and the B-tree [14]. Mehlhorn[31] discusses dd-trees which are very similar to k-d trees. At e ...
... points. All points are stored in the leaves. Devroye et al. [16] analyzed range search on squarish k-d trees and random k-d trees [10]. The k-d-B tree [33] combines properties of both the adaptive k-d tree and the B-tree [14]. Mehlhorn[31] discusses dd-trees which are very similar to k-d trees. At e ...
Data and Data Structures
... structures and algorithms and of the tradeoffs arising when selecting and designing data structures and algorithms for different purposes. While the student will write several programs as part of the assigned exercises, acquiring detailed knowledge of and developing skills in any particular programm ...
... structures and algorithms and of the tradeoffs arising when selecting and designing data structures and algorithms for different purposes. While the student will write several programs as part of the assigned exercises, acquiring detailed knowledge of and developing skills in any particular programm ...
Hashing
... – The major drawback of linear probing is that when the table becomes about half full, these is a tendency toward clustering – Clustering occurs when records start to appear to as long strings of adjacent positions, which may have several different hash values – Linear searches for empty locations b ...
... – The major drawback of linear probing is that when the table becomes about half full, these is a tendency toward clustering – Clustering occurs when records start to appear to as long strings of adjacent positions, which may have several different hash values – Linear searches for empty locations b ...
Faster Cover Trees - University of California, Riverside
... Learning, Lille, France, 2015. JMLR: W&CP volume 37. Copyright 2015 by the author(s). ...
... Learning, Lille, France, 2015. JMLR: W&CP volume 37. Copyright 2015 by the author(s). ...
Chapter 10: File System Implementation
... Modify linked list to store address of next n-1 free blocks in first free block, plus a pointer to next block that contains free-block-pointers (like this one)" ...
... Modify linked list to store address of next n-1 free blocks in first free block, plus a pointer to next block that contains free-block-pointers (like this one)" ...
Chapter 17
... 2. Examine the linkedListIterator class definition, UML diagram, and implementation in detail. Note the use of operator overloading, the this pointer, and the private node pointer. 3. Next, examine the class definition and UML diagram of the abstract class linkedListType. Explain why the copy constr ...
... 2. Examine the linkedListIterator class definition, UML diagram, and implementation in detail. Note the use of operator overloading, the this pointer, and the private node pointer. 3. Next, examine the class definition and UML diagram of the abstract class linkedListType. Explain why the copy constr ...
Built-in Coloring for Highly-Concurrent Doubly
... rely on strong primitives [15], e.g., CAS (compare and swap) and its multi-location variant, k CAS. Lock-free implementations are often complex and hard to get right; even for relatively simple, key data structures, like deques, they suffer from signi£cant drawbacks: Some implementations may contai ...
... rely on strong primitives [15], e.g., CAS (compare and swap) and its multi-location variant, k CAS. Lock-free implementations are often complex and hard to get right; even for relatively simple, key data structures, like deques, they suffer from signi£cant drawbacks: Some implementations may contai ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.