What Is DSA?
DSA is defined as a combination of two separate yet interrelated topics – Data Structure and Algorithms What Is Data Structure?
A data structure is defined as a particular way of storing and organizing data in our devices to use the data efficiently and effectively What Is Algorithm?
Algorithm is defined as a process or set of well-defined instructions that are typically used to solve a particular group of problems or perform a specific type of How to Start Learning DSA?
The first and foremost thing is dividing the total procedure into little pieces which need to be done sequentially Learn About Complexities
Here comes one of the interesting and important topics. The primary motive to use DSA is to solve a problem effectively and efficiently Learn Data Structures
Here comes the most crucial and the most awaited stage of the roadmap for learning data structure and algorithm – the stage where you start learning Learn Algorithms
Once you have cleared the concepts of Data Structures, now its time to start your journey through the Algorithms. Based on the type of nature and usage Practice Problems on Data Structures and Algorithms
For practicing problems on individual data structures and algorithms, you can use the following links: 1. Practice problems on Arrays 2
Algorithm for maximum cardinality matching
In computer science, the Hopcroft–Karp algorithm is an algorithm that takes a bipartite graph as input and produces a maximum-cardinality matching as output — a set of as many edges as possible with the property that no two edges share an endpoint.
It runs in mwe-math-element> time in the worst case, where mwe-math-element> is set of edges in the graph, mwe-math-element> is set of vertices of the graph, and it is assumed that mwe-math-element>.
In the case of dense graphs the time bound becomes mwe-math-element>, and for sparse random graphs it runs in time mwe-math-element> with high probability.
The Luleå algorithm of computer science, designed by Degermark et al. (1997), is a technique for storing and searching internet routing tables efficiently.
It is named after the Luleå University of Technology, the home institute/university of the technique's authors.
The name of the algorithm does not appear in the original paper describing it, but was used in a message from Craig Partridge to the Internet Engineering Task Force describing that paper prior to its publication.
