master thesis
... In this thesis we focus on one simple data-structure problem that has been studied for a long time and also frequently appears as a sub-problem in various algorithms. Contrary to the classical textbook theory we use a dierent computation model that is becoming popular in recent publications. We cho ...
... In this thesis we focus on one simple data-structure problem that has been studied for a long time and also frequently appears as a sub-problem in various algorithms. Contrary to the classical textbook theory we use a dierent computation model that is becoming popular in recent publications. We cho ...
Lars Arge
... • The cell in the 4d kd-tree region of u is intersected by two different 3-dimensional hyper-planes defined by sides of query Q • The intersection of each pair of such 3dimensional hyper-planes is a 2dimensional hyper-plane • Lemma: # of cells in a d-dimensional kdtree that intersect an axis-paralle ...
... • The cell in the 4d kd-tree region of u is intersected by two different 3-dimensional hyper-planes defined by sides of query Q • The intersection of each pair of such 3dimensional hyper-planes is a 2dimensional hyper-plane • Lemma: # of cells in a d-dimensional kdtree that intersect an axis-paralle ...
Accelerating Online LCA with Functional Data Structures
... We store a linked list of complete trees, where we are allowed to have two trees of the same size at the front of the list, but after that all trees are of strictly increasing height. data Tree a = Tip a | Bin a (Tree a) (Tree a) data Path a = Nil | Cons !Int !Int (Tree a) (Path a) length :: Path a ...
... We store a linked list of complete trees, where we are allowed to have two trees of the same size at the front of the list, but after that all trees are of strictly increasing height. data Tree a = Tip a | Bin a (Tree a) (Tree a) data Path a = Nil | Cons !Int !Int (Tree a) (Path a) length :: Path a ...
CFI-Stream Mining Closed Frequent Itemsets in Data Streams
... As the number of applications on mining data streams grows rapidly, such as web transactions, telephone records, and network flows, much research on how to get frequent patterns in a data stream environment has been conducted. In [2, 7, 10], the authors propose algorithms to find frequent itemsets o ...
... As the number of applications on mining data streams grows rapidly, such as web transactions, telephone records, and network flows, much research on how to get frequent patterns in a data stream environment has been conducted. In [2, 7, 10], the authors propose algorithms to find frequent itemsets o ...
Lab Manual Data Structures (P) COT-213 and IT-215
... WAP to store an information in array of structure , dynamically, and also give a function to display the current information. The program should give user a choice for inserting a data or to display the current data. Implement the program for Student structures (contains student_name, ...
... WAP to store an information in array of structure , dynamically, and also give a function to display the current information. The program should give user a choice for inserting a data or to display the current data. Implement the program for Student structures (contains student_name, ...
Fast Local Searches and Updates in Bounded Universes
... node with no left (respectively right) child is augmented with an additional pointer to the smallest (respectively largest) leaf in its subtree, and all leaves maintain pointers to the next leaf and the previous leaf. The structure uses O(n log U ) space. Searches are executed by performing a binary ...
... node with no left (respectively right) child is augmented with an additional pointer to the smallest (respectively largest) leaf in its subtree, and all leaves maintain pointers to the next leaf and the previous leaf. The structure uses O(n log U ) space. Searches are executed by performing a binary ...
pptx
... • The cell in the 4d kd-tree region of u is intersected by two different 3-dimensional hyper-planes defined by sides of query Q • The intersection of each pair of such 3dimensional hyper-planes is a 2dimensional hyper-plane • Lemma: # of cells in a d-dimensional kdtree that intersect an axis-paralle ...
... • The cell in the 4d kd-tree region of u is intersected by two different 3-dimensional hyper-planes defined by sides of query Q • The intersection of each pair of such 3dimensional hyper-planes is a 2dimensional hyper-plane • Lemma: # of cells in a d-dimensional kdtree that intersect an axis-paralle ...
Introduction to Algorithms, Data Structures and Formal Languages
... Birthday paradox: Pr365 (n). . . . . . . . . . . . . . . . . . . . . Average search time bounds in hash tables with load factor λ. ...
... Birthday paradox: Pr365 (n). . . . . . . . . . . . . . . . . . . . . Average search time bounds in hash tables with load factor λ. ...
Linked Lists
... In array implementation of the linked lists a fixed set of nodes represented by an array is established at the beginning of the execution A pointer to a node is represented by the relative position of the node within the array. In array implementation, it is not possible to determine the number of n ...
... In array implementation of the linked lists a fixed set of nodes represented by an array is established at the beginning of the execution A pointer to a node is represented by the relative position of the node within the array. In array implementation, it is not possible to determine the number of n ...
Abstracting Runtime Heaps for Program Understanding
... Var objects that are shared with the expression tree. Figure 1(b) shows the abstract heap produced by our tools from this concrete heap with the default visualization mode.1 The abstraction summarizes the concrete objects into three distinct summary nodes in the abstract heap graph: (1) an abstract ...
... Var objects that are shared with the expression tree. Figure 1(b) shows the abstract heap produced by our tools from this concrete heap with the default visualization mode.1 The abstraction summarizes the concrete objects into three distinct summary nodes in the abstract heap graph: (1) an abstract ...
Dictionary Data Structures
... In Dijkstra’s original implementation, the Open list is a plain array of nodes together with a bitvector indicating if elements are currently open or not. The minimum is found through a complete scan, yielding quadratic execution time in the number of nodes. More refined data structures have been de ...
... In Dijkstra’s original implementation, the Open list is a plain array of nodes together with a bitvector indicating if elements are currently open or not. The minimum is found through a complete scan, yielding quadratic execution time in the number of nodes. More refined data structures have been de ...
ABSTRACT The Binary Search Tree serves as an important
... // zero out to prevent children from deletion right = left = 0; delete this; return result; ...
... // zero out to prevent children from deletion right = left = 0; delete this; return result; ...
I n - Virginia Tech
... Some Questions to Ask • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...
... Some Questions to Ask • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...
Orthogonal Range Searching
... Since the time spend at a node in the main tree is linear in the size of its canonical subset the total construction time is the same as the amount of storage. Presorting is O (n log n ). Total construction time is O (n log n ). ...
... Since the time spend at a node in the main tree is linear in the size of its canonical subset the total construction time is the same as the amount of storage. Presorting is O (n log n ). Total construction time is O (n log n ). ...
Unit 7 Powerpoint Presentation
... If no. of elements are less, leads to wastage of space. Sequential Storage : Array elements are stored in contiguous memory locations. At the times it might so happen that enough contiguous locations might not be available. Even though the total space requirement of an array can be met through a com ...
... If no. of elements are less, leads to wastage of space. Sequential Storage : Array elements are stored in contiguous memory locations. At the times it might so happen that enough contiguous locations might not be available. Even though the total space requirement of an array can be met through a com ...
CS 61B Reader Data Structures (Into Java)
... constant factor, other simplifications are possible. We need no longer worry about the timing of each little statement in the algorithm, but can measure time using any convenient “marker step.” For example, to do decimal multiplication in the standard way, you multiply each digit of the multiplicand ...
... constant factor, other simplifications are possible. We need no longer worry about the timing of each little statement in the algorithm, but can measure time using any convenient “marker step.” For example, to do decimal multiplication in the standard way, you multiply each digit of the multiplicand ...