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Class Notes for CSCI 104: Data Structures and Object
Class Notes for CSCI 104: Data Structures and Object

MIT 6.851 Advanced Data Structures
MIT 6.851 Advanced Data Structures

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External Memory Geometric Data Structures

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CS 61B Reader Data Structures (Into Java)

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Threaded Trees Institute of Lifelong Learning, University of Delhi

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Binary Heap

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Class Notes for CSCI 104: Data Structures and Object-Oriented Design

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I/O-efficient Point Location using Persistent B

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Dynamic Data Structures: Orthogonal Range Queries and Update

Dual-Sorted Inverted Lists in Practice⋆
Dual-Sorted Inverted Lists in Practice⋆

... Boolean retrieval, instead, retrieves all the documents where the query terms appear. If the query is a single term (|q| = 1), the retrieval process just fetches the list of the term. Multi-word queries are interpreted using (a variant of) the Boolean model. For example, for disjunctive queries (OR) ...
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The Tree Data Model

... models hierarchical structure is called a tree and this data model is among the most fundamental in computer science. It is the model that underlies several programming languages, including Lisp. Trees of various types appear in many of the chapters of this book. For instance, in Section 1.3 we saw ...
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Design Patterns for the Implementation of Graph Algorithms

Problem Solving with Algorithms and Data Structures
Problem Solving with Algorithms and Data Structures

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Think Data Structures

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... structures like lists you can induct on the size of the data structure = to the number of calls to the constructors.  When trying to show a property for a data structure of a given size, you can assume that the property holds when making a recursive call on a smaller data structure. You must make s ...
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Recursive Data Structure Profiling

Online Sorted Range Reporting
Online Sorted Range Reporting

Introduction to Algorithms, Data Structures and Formal Languages
Introduction to Algorithms, Data Structures and Formal Languages

... which the authors and their colleagues have taught at the University of Auckland for several years. The book could also be used for self-study. Many exercises are provided, a substantial proportion of them with detailed solutions. Numerous figures aid understanding. To benefit from the book, the rea ...
2004: Gang Qian
2004: Gang Qian

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Data Structures and Algorithms for Data

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Abstract Data Types (ADTs) An ADT Example Stacks The Stack ADT

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Ownership You Can Count On: A Hybrid Approach to Safe Explicit

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Efficiency Improvement of Narrow Range Query - CEUR

Optimal Cooperative Search in Fractional Cascaded
Optimal Cooperative Search in Fractional Cascaded

... so that cooperative searches with p processors can be done in optimal O((log n)= log p) time. For ease of exposition, we distinguish two types of search paths in the tree T : explicit and implicit. An explicit search path is a path in tree T that is determined before the search begins. In an implici ...
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Linked list



In computer science, a linked list is a data structure consisting of a group of nodes which together represent a sequence. Under the simplest form, each node is composed of data and a reference (in other words, a link) to the next node in the sequence; more complex variants add additional links. This structure allows for efficient insertion or removal of elements from any position in the sequence.Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists (the abstract data type), stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement the other data structures directly without using a list as the basis of implementation.The principal benefit of a linked list over a conventional array is that the list elements can easily be inserted or removed without reallocation or reorganization of the entire structure because the data items need not be stored contiguously in memory or on disk, while an array has to be declared in the source code, before compiling and running the program. Linked lists allow insertion and removal of nodes at any point in the list, and can do so with a constant number of operations if the link previous to the link being added or removed is maintained during list traversal.On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of efficient indexing. Thus, many basic operations — such as obtaining the last node of the list (assuming that the last node is not maintained as separate node reference in the list structure), or finding a node that contains a given datum, or locating the place where a new node should be inserted — may require sequential scanning of most or all of the list elements. The advantages and disadvantages of using linked lists are given below.
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