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Abstract
Data structures are chosen to save space and to grant fast access to data by it’s key for a particular structural representation. The data structures surveyed are linear lists, hierarchical structures, graph structures. B+ tree is an expansion of a B tree data structure which allows efficient insertions, deletions and search operations. It is used to store a large amount of data that cannot be stored in the main memory. B+ tree leaf nodes are connected together in the form of a singly linked list to make search queries more efficient and effective. The drawback of binary tree geometry is that the decrease in memory use comes at the expense of more frequent memory access, might slow down simulation in which frequent memory access constitutes a significant part of the execution time. Processing and compression of voxel phantoms without loss of quality. Voxels are often utilized in the visualization and analysis of medical and scientific (logical) information. Voxel phantoms which comprise a set of small volume components appeared towards the end of the 1980s and improved on the first scientific models. These are the models of the human body. These phantoms are an extremely exact representation. Fetching of records in the equal number of disk accesses and to reduce the access time by reducing the height of the tree and increasing the number of branches in the node.
Highlights
Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services
B+ tree is an expansion of a B tree data structure which allows efficient insertions, deletions and search operations
Images are processed using YCrCb processing and compressed by means of PNG compression which is given as input to reconstruct the image by means of a B+ tree
Summary
Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. A binary tree is a data structure that is characterized as a collection of elements called nodes. In a graph representing the relation i on some boundary set, an edge connects a pair of points if the line segment joining them is an interior segment Such a graph has been utilized in a shape recognition algorithm [3]. DFS uses a stack instead of a queue It traverses a graph in a depth-ward motion and gets the vertex to start a search when a dead end occurs in any iteration. BFS uses a queue for the search process and gets the vertex to start a search when a dead end occurs in any iteration It traverses a graph in a breadth-ward motion. Traversing among the nodes is simpler using a B+ tree algorithm [17][21]
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