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Tree data structure
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Part 1 of ebook "The structural representation of proximity matrices with MATLAB" provides readers with contents including: (multi- and unidimensional) city-block scaling; linear unidimensional scaling; linear multidimensional scaling; circular scaling; LUS for two-mode proximity data; the representation of proximity matrices by tree structures; ultrametrics for symmetric proximity data;...
127p
mothoiphong
28-06-2024
1
1
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Ebook "Foundations of computer science" presents the following content: Chapter 1 introduction; chapter 2 recursive functions; chapter 3 notation: estimating costs in the limit; chapter 4 lists; chapter 5 more on lists; chapter 6 sorting; chapter 7 data types and trees; chapter 8 dictionaries and functional arrays; chapter 9 queues and search strategies; chapter 10 functions as values; chapter 11 list functionals; chapter 12 polynomial arithmetic; chapter 13 sequences, or lazy lists; chapter 14 elements of procedural programming; chapter 15 linked data structures.
155p
zizaybay1103
29-05-2024
7
2
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Lecture Data structure and Algorithm basic lab: Week 8. This lesson provides students with content about: how to use debugger tool (gdb); tree data structure; binary tree; binary search tree; recursive processing on tree;... Please refer to the detailed content of the lecture!
62p
codabach1016
03-05-2024
2
0
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Lecture Data structure and Algorithm basic lab: Week 9. This lesson provides students with content about: how to build programs using makefile utility; tree traversal; depth first search; breadth first search; exercises;... Please refer to the detailed content of the lecture!
33p
codabach1016
03-05-2024
4
0
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Lecture Data structures and Algorithms: Week 8 (Lesson 8). This lesson provides students with content about: trees, binary trees, and binary search trees; family tree; definition of tree; recursive definition; linked representation; binary tree ADT; recursive processing - number of nodes;... Please refer to the detailed content of the lecture!
35p
codabach1016
03-05-2024
4
0
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Lecture Data structures and Algorithms: Week 9 (Lesson 9). This lesson provides students with content about: binary tree traversal; DFS - depth-first search (traversal); inorder traversal; function inorderprint; postorder traversal; function postorderprint; preorder traversal; breadth first search;... Please refer to the detailed content of the lecture!
22p
codabach1016
03-05-2024
1
0
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This book is a reference guide for the parser generator ANTLR, ANother Tool for Language Recognition, and the tree-parser generator SORCERER, which is suited to source-to-source translation. SORCERER does not fit into the translator generator category perfectly because it translates trees, whereas the typical translator generator can only be used to translate text directly, thus hiding any intermediate steps or data structures from the programmer. The ANTLR and SORCERER team more closely supports what programmers would build by hand.
310p
longtimenosee05
31-03-2024
1
0
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In the forest structure, the spatial distribution of forest trees plays a very important role. The importance of the spatial distribution is to influence the sampling design of forest inventory, timber production, and the need for silvicultural treatments in a stand. The analysis results show that the difference between the two types is significant.
10p
visergey
14-03-2024
2
1
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This paper proposes an efficient algorithm to solve the problem of sorting a list of elements with parent-child relationships that correspond to all the records in the database table. It is assumed that all the records are loaded into memory as a list of elements.
8p
vigrab
02-02-2024
7
2
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Ebook "C data structures" includes content: Software engineering principles; data design and implementation, ADTs unsorted list and sorted list, ADTs stack and queue, linked structures, lists plus, programming withrecursion, binary search trees, priority queues, heaps, graphs, and sets, sorting and searching algorithms.
833p
haojiubujain09
21-11-2023
5
3
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Ebook Algorithms in C: Part 1 includes contents: Chapter 1: introduction, chapter 2: c, chapter 3: elementary data structures, chapter 4: trees, chapter 5: recursion, chapter 6: analysis of algorithms, chapter 7: implementation of algorithms, chapter 8: elementary sorting methods, chapter 9: quicksort, chapter 10: radix sorting, chapter 11: priority queues, chapter 12: mergesort, chapter 13: external sorting, chapter 14: elementary searching methods, chapter 15: balanced trees, chapter 16: hashing, chapter 17: radix searching, chapter 18: external searching, chapter 19: string searching, ch...
359p
haojiubujain08
01-11-2023
2
1
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Ebook "Teach yourself data structures and algorithms in 24 hours" includes content: Introducing data structures and algorithms, abstract data types, recursion and quicksort, trees, hash tables, appendixes.
548p
haojiubujain07
20-09-2023
4
2
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Ebook "Prolog programming for artificial intelligence" includes content: An overview of prolog; syntax and meaning of prolog programs; lists, operators, arithmetic; using struclures - example programs; controlling backtracking; input and output, programming style and technique, operations on data structures, more built in procedures, advanced tree representation,... and other contents.
442p
haojiubujain07
20-09-2023
4
3
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This book "Algorithms on trees and graphs" introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.
492p
tichhythan
17-08-2023
9
4
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Ebook "Data structures and algorithm analysis in C++ (Fourth edition)" provides critical new coverage of treaps, k-d trees and k-d B-trees, generational garbage collection, and other advanced topics such as sorting methods and a new hashing technique. Abundant C++ code examples and a variety of case studies provide valuable insights into data structures implementation.
818p
tichhythan
17-08-2023
8
5
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Chapter 11 - Indexing and hashing. This chapter covers indexing techniques ranging from the most basic one to highly specialized ones. Due to the extensive use of indices in database systems, this chapter constitutes an important part of a database course. A class that has already had a course on data-structures would likely be familiar with hashing and perhaps even B + -trees. However, this chapter is necessary reading even for those students since data structures courses typically cover indexing in main memory.
90p
haojiubujain04
27-07-2023
7
4
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Appendix E - Hierarchical model. This chapter presents the following content: Basic concepts, tree-structure diagrams, data-retrieval facility, update facility, virtual records, mapping of hierarchies to files, the IMS database system.
60p
haojiubujain04
27-07-2023
7
4
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Ebook A practical introduction to data structures and algorithm analysis (C++ Version): Part 2 includes contents: Chapter 11 graphs; chapter 12 lists and arrays revisited; chapter 13 advanced tree structures; chapter 14 analysis techniques; chapter 15 lower bounds; chapter 16 patterns of algorithms; chapter 17 limits to computation; Appendix A utility functions.
221p
haojiubujain03
24-07-2023
10
5
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Ebook A practical introduction to data structures and algorithm analysis (C++ Version): Part 1 includes contents: Chapter 1 data structures and algorithms; chapter 2 mathematical preliminaries; chapter 3 algorithm analysis; chapter 4 lists, stacks, and queues; chapter 5 binary trees; chapter 6 non-binary trees; chapter 7 internal sorting; chapter 8 file processing and external sorting; chapter 9 searching; chapter 10 indexing.
417p
haojiubujain03
24-07-2023
5
4
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Ebook Data structure: Part 2 presents the following content: Recursion; Introduction to Binary Trees; Binary Tree Traversals and Operations; Binary Search Trees;...Please refer to the documentation for more details.
135p
chankora
16-06-2023
3
2
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