Lecture Algorithms and data structures

The course focuses on strategies and techniques to efficiently store data (Data Structures) and to perform processing on such data in efficient ways (Algorithms), as well as on the analysis and design of such techniques. In this lecture, the following topics will be covered: Mathematical review; asymptotic and algorithm analysis; relationships and data structures; requential storage: Lists, queues, stacks, deques; hash tables; trees; priority queues and heaps; sort algorithms; graphs and graph algorithms; algorithm design techniques; complexity classes and NP completeness.
96p nanhankhuoctai9 23062020 2 0 Download

The course focuses on strategies and techniques to efficiently store data (Data Structures) and to perform processing on such data in efficient ways (Algorithms), as well as on the analysis and design of such techniques. In this lecture, the following topics will be covered: Mathematical review; asymptotic and algorithm analysis; relationships and data structures; requential storage: Lists, queues, stacks, deques; hash tables; trees; priority queues and heaps; sort algorithms; graphs and graph algorithms; algorithm design techniques; complexity classes and NP completeness.
62p allbymyself_08 22022016 28 1 Download

This topic will describe: The concrete data structures that can be used to store information, the basic forms of memory allocation, the prototypical examples of these: arrays and linked lists, other data structures, finally we will discuss the runtime of queries and operations on arrays and linked lists.
52p nanhankhuoctai9 23062020 6 0 Download

An Abstract List (or List ADT) is linearly ordered data where the programmer explicitly defines the ordering. We will now look at our first abstract data structure: Relation  explicit linear ordering, operations, implementations of an abstract list with linked lists and arrays, memory requirements, strings as a special case, the STL vector class.
41p nanhankhuoctai9 23062020 8 0 Download

An Abstract Deque (Deque ADT) is an abstract data structure which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, allows insertions at both the front and back of the deque. This topic discusses the concept of a queue: Description of an Abstract Deque, applications, implementations, the STL and iterations.
18p nanhankhuoctai9 23062020 7 0 Download

In this topic, we will cover: Definition of a tree data structure and its components. Concepts of: Root, internal, and leaf nodes; parents, children, and siblings; paths, path length, height, and depth; ancestors and descendants; ordered and unordered trees; subtrees.
55p nanhankhuoctai9 23062020 5 0 Download

A hierarchical ordering of a finite number of objects may be stored in a tree data structure. Operations on a hierarchically stored container include: Accessing the root, given an object in the container: Access the parent of the current object, find the degree of the current object, get a reference to a child, attach a new subtree to the current object, detach this tree from its parent.
28p nanhankhuoctai9 23062020 6 0 Download

This topic will cover tree traversals: A means of visiting all the objects in a tree data structure, we will look at breadthfirst traversals and depthfirst traversals (Preorder and Postorder depthfirst traversals), applications, general guidelines.
33p nanhankhuoctai9 23062020 9 0 Download

In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. In this talk, we will look at the binary tree data structure: Definition, properties, a few applications (Ropes, expression trees).
57p nanhankhuoctai9 23062020 4 0 Download

A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. This chapter introduce perfect binary trees: Definitions and examples, number of nodes, logarithmic height, number of leaf nodes, applications.
44p nanhankhuoctai9 23062020 4 0 Download

In computer science, a balanced trees is a selfbalancing tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. In this topic, we will: Introduce the idea of balance and a few examples.
44p nanhankhuoctai9 23062020 6 0 Download

In computer science, binary search trees, sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store "items" (such as numbers, names etc.) in memory. This topic covers binary search trees: Abstract Sorted Lists, background, definition and examples,...
44p nanhankhuoctai9 23062020 3 0 Download

This topic will describe: The concrete data structures that can be used to store information, the basic forms of memory allocation, the prototypical examples of these: arrays and linked lists, other data structures, finally we will discuss the runtime of queries and operations on arrays and linked lists.
35p allbymyself_08 22022016 24 1 Download

An Abstract List (or List ADT) is linearly ordered data where the programmer explicitly defines the ordering. We will now look at our first abstract data structure: Relation  explicit linear ordering, operations, implementations of an abstract list with linked lists and arrays, memory requirements, strings as a special case, the STL vector class.
28p allbymyself_08 22022016 32 1 Download

An Abstract Deque (Deque ADT) is an abstract data structure which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, allows insertions at both the front and back of the deque. This topic discusses the concept of a queue: Description of an Abstract Deque, applications, implementations, the STL and iterations.
34p allbymyself_08 22022016 25 1 Download

In this topic, we will cover: Definition of a tree data structure and its components. Concepts of: Root, internal, and leaf nodes; parents, children, and siblings; paths, path length, height, and depth; ancestors and descendants; ordered and unordered trees; subtrees.
42p allbymyself_08 22022016 29 1 Download

A hierarchical ordering of a finite number of objects may be stored in a tree data structure. Operations on a hierarchically stored container include: Accessing the root, given an object in the container: Access the parent of the current object, find the degree of the current object, get a reference to a child, attach a new subtree to the current object, detach this tree from its parent.
21p allbymyself_08 22022016 30 1 Download

This topic will cover tree traversals: A means of visiting all the objects in a tree data structure, we will look at breadthfirst traversals and depthfirst traversals (Preorder and Postorder depthfirst traversals), applications, general guidelines.
25p allbymyself_08 22022016 19 1 Download

In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. In this talk, we will look at the binary tree data structure: Definition, properties, a few applications (Ropes, expression trees).
32p allbymyself_08 22022016 27 1 Download

A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. This chapter introduce perfect binary trees: Definitions and examples, number of nodes, logarithmic height, number of leaf nodes, applications.
20p allbymyself_08 22022016 41 1 Download