Data Structures And Algorithms Lecture Notes: Data structure is used to store and organize data. Data structure helps in organizing data in an ordered manner so that it can be used in future for different reasons. Algorithm is the procedure which provides a set of instructions that should be executed in an orderly manner to get the desired result. Some important algorithms from the side of the data structure are search, sort, insert, update, and delete. It is important to learn data structure and algorithms to write computer programmes.
Algorithm is not the code; it is only the logic of a problem. Algorithm is considered efficient when it takes less time to execute and less memory. If your goal is to become a software engineer, you must start studying Data structure and algorithms. These two things have become very important in every industry in recent time. In this article, you will find complete details about the Lecture Notes and study materials of data structure and algorithms.
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Introduction to Data Structures And Algorithms
The data structure is the process of organizing, managing, and processing data so that it can be used efficiently in future. The data structure is the collection of values related to data. The knowledge of data structure and algorithms is not limited to the text-books of class only. You can get real-world experience of using data structures and algorithms when you start working with an innovative technology company. To learn about data structure and algorithm efficiently, you need to get some right study materials. In this article, you will find complete details about the study materials of data structure and algorithms.
Anyone interested in making a career in the field of data and technology must study data structure and algorithms. It gets easier for you to learn algorithms if you have studied Mathematics and computers previously. However, the right study materials can help you to get in-depth knowledge about these things. We have made a list of study materials that will aid in your study of algorithms and data structure.
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It is not tough to learn about data structure and algorithms. However, there are several books available in the market for data structure and algorithm due to the growing popularity of these two subjects. Students sometimes get confused to choose the right set of books. To solve this issue, we have made a list of reference books on data structure and algorithms by doing proper research.
- Introduction to Algorithms by T. H. Cormen
- Algorithms by R. Sedgewick & K. Wayne
- The Algorithm Design Manual by S. S. Skiena
- Algorithm for Interviews by A. Aziz
- Algorithm in Nutshell
- Algorithm Design by Tardos & Kleinberg
- Introduction to Algorithms by U. Manber
- The Design and Analysis of Algorithms by A. Levitin
Before starting the course on data structure and algorithm, you must know the syllabus. For the data-related course, it is important to understand the syllabus. The syllabus of data structure and algorithm varies depending on the type of course and institution. However, the basic concepts of data structure and algorithm remain the same. In this article, you will get to know about the necessary details about data structure and algorithms.
Introduction: Dynamic aspects of operations on data, Operations on data structures, Characteristics of data structures, Creation and manipulation of data structures, Types of data structures – linear and nonlinear.
Arrays and Linked Lists: Arrays: Dynamic memory allocation, operations on arrays, storage, one-dimensional arrays, multidimensional arrays – Row major order, Column major order.
Stacks and Queues: Stacks: Implementation of stacks– array and linked list, Notations – infix, prefix and postfix, operations on stacks, Applications of Stacks, Conversion and evaluation of arithmetic expressions using Stacks. Queues: Implementation of queues– array and linked list, operations on queues, Types of queues – double-ended queue, queue, and priority queue.
Trees and Graphs: Trees: Binary tree, Threaded binary tree, Height balanced trees, Tries, Binary search tree, Heaps, Hash tables. Union-find data structure and applications. Directed acyclic graphs; topological sort.
Searching and Sorting: Searching: Binary search, Linear search, and Hashing. Algorithms and data structures for sorting: Insertion Sort, Merge sort, QuickSort, Bubble sort, Selection Sort, Heap sort, Radix sort, Bucket sort.
- Describe the data structure and its types.
- What is the need for algorithm analysis?
- What is called asymptomatic analysis of algorithms?
- What is called the linear data structure?
- Which operations can be performed on data structure?
- What is the procedure to develop an algorithm?
- Write some examples of conquer and divide algorithms.
- What is called dynamic programming algorithms?
- Write a short note on linked-list and stack.
- What is called the queue in the data structure?
What is called data structure?
The data structure is the process of organizing, managing, and processing data so that it can be used efficiently in future. The data structure is the collection of values related to data.
What is called algorithms?
Algorithm is the procedure which provides a set of instructions that should be executed in an orderly manner to get the desired result.
What are some important books on data structure and algorithms?
Some important books on data structure and algorithms are Introduction to Algorithms by T. H. Cormen, Algorithms by R. Sedgewick & K. Wayne, The Algorithm Design Manual by S. S. Skiena, Algorithm for Interviews by A. Aziz, and Algorithm in Nutshell.
What are the five properties of algorithms?
The five properties of algorithms are output, input, definiteness, effectiveness, and finiteness.
The information provided above regarding the syllabus and study materials for data structures and algorithms will help in your study. If you have any other questions regarding data structures and algorithms study materials, please let us know in the comment section.