Dr. Parteek Bhatia is Associate Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala. He has research interest in area of NLP, Machine Learning and Assistive Technologies. If the (i; j)-th entry of the matrix is k, it means at that time the station i has k packets for transmission to station j. Count the number of nodes at given level in a tree using BFS. You can change your ad preferences anytime. [11] Conditional, Looping and Sequential Statements. We use an array maxR[0..N-1] that stores the senders assigned to different receivers. He is PhD title is “UNL Based Machine Translation System for Punjabi Language”. Learn more. If a receiver is assigned to somebody else say x, then we recursively check whether x can be assigned some other receiver. He has handled research projects of more than one crore rupees sponsored by International and National funding agencies. He has more than twenty years of academic experience, including six years at D.A.V College Amritsar. He is also running his YouTube Channel “Parteek Bhatia: Simplifying Computer Education” for sharing video sessions on Machine Learning, Big Data, DBMS, SQL, PL/SQL and NoSQL. One main issue in cellular system design reduces to one of economics. In a fixed channel assignment strategy, each cell is allocated a predetermined set of voice channel. If x can get other receiver, we change the sender for receiver ‘v’ and return true. Contributed by John S. Davis, II, U.C. Extra space can be reduced and code can be simplified using the fact that the graph is bipartite. |V| since there can be only |V| possible edges coming out from source node. There must be a source and sink in a flow network. A variation is the borrowing strategy. If bmp() returns true, then it means that there is an augmenting path in flow network and 1 unit of flow is added to the result in maxBPM(). Let us first define input and output forms. We use Ford-Fulkerson algorithm to find the maximum flow in the flow network built in step 1. Looks like you’ve clipped this slide to already. Induction Motor Speed Control Drive, Design and Implementation, Customer Code: Creating a Company Customers Love, Be A Great Product Leader (Amplify, Oct 2019), Trillion Dollar Coach Book (Bill Campbell). He has published more than 100 research papers and articles in Journals, Conferences and Magazines of repute. We use cookies to provide and improve our services. Step 2: Find the maximum flow. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. AWS Certified Solutions Architect - Associate, AWS Certified Solutions Architect - Professional, Google Analytics Individual Qualification (IQ), Conditional, Looping and Sequential Statements. Presented By:- • NASRULLAH KHAN UNAS 2. Time and space complexity analysis: Now customize the name of a clipboard to store your clips. He is a author of popular books like “Simplified Approach to DBMS”, “Simplified Approach to Visual Basic” and “Simplified Approach to Oracle” and “NoSQL in a Day”. For every receiver we try, we do following: Channel Assignment Strategies • With the rapid increase in number of mobile users, the mobile service providers had to follow strategies which ensure the effective utilization of the limited radio spectrum. Particularly as to how calls are managed, when a mobile user is handed off from one cell to another. Scribd will begin operating the SlideShare business on December 1, 2020 If you continue browsing the site, you agree to the use of cookies on this website. If a receiver is not assigned to anybody, we simply assign it to the sender and return true. APIdays Paris 2019 - Innovation @ scale, APIs as Digital Factories' New Machi... No public clipboards found for this slide, Student at Institute for Management Studies, IET Bhaddal. So we add a dummy source and add edges from source to all senders. Count all possible paths between two vertices, Minimum initial vertices to traverse whole matrix with given conditions, Shortest path to reach one prime to other by changing single digit at a time, BFS using vectors & queue as per the algorithm of CLRS, Level of Each node in a Tree from source node (using BFS), Construct binary palindrome by repeated appending and trimming, Height of a generic tree from parent array, Maximum number of edges to be added to a tree so that it stays a Bipartite graph, Print all paths from a given source to a destination using BFS, Minimum number of edges between two vertices of a Graph, Count nodes within K-distance from all nodes in a set, Move weighting scale alternate under given constraints, Number of pair of positions in matrix which are not accessible, Maximum product of two non-intersecting paths in a tree, Delete Edge to minimize subtree sum difference, Find the minimum number of moves needed to move from one cell of matrix to another, Minimum steps to reach target by a Knight | Set 1, Minimum number of operation required to convert number x into y, Minimum steps to reach end of array under constraints, Find the smallest binary digit multiple of given number, Roots of a tree which give minimum height, Sum of the minimum elements in all connected components of an undirected graph, Check if two nodes are on same path in a tree, Find length of the largest region in Boolean Matrix, Iterative Deepening Search(IDS) or Iterative Deepening Depth First Search(IDDFS), DFS for a n-ary tree (acyclic graph) represented as adjacency list, Detect Cycle in a directed graph using colors, Assign directions to edges so that the directed graph remains acyclic, Detect a negative cycle in a Graph | (Bellman Ford), Cycles of length n in an undirected and connected graph, Detecting negative cycle using Floyd Warshall, Check if there is a cycle with odd weight sum in an undirected graph, Check if a graphs has a cycle of odd length, Check loop in array according to given constraints, Disjoint Set (Or Union-Find) | Set 1 (Detect Cycle in an Undirected Graph), Union-Find Algorithm | Set 2 (Union By Rank and Path Compression), Union-Find Algorithm | (Union By Rank and Find by Optimized Path Compression), All Topological Sorts of a Directed Acyclic Graph, Maximum edges that can be added to DAG so that is remains DAG, Longest path between any pair of vertices, Longest Path in a Directed Acyclic Graph | Set 2, Topological Sort of a graph using departure time of vertex, Given a sorted dictionary of an alien language, find order of characters, Prim’s Minimum Spanning Tree (MST) | Greedy Algo-5, Applications of Minimum Spanning Tree Problem, Prim’s MST for Adjacency List Representation | Greedy Algo-6, Kruskal’s Minimum Spanning Tree Algorithm | Greedy Algo-2, Reverse Delete Algorithm for Minimum Spanning Tree, Total number of Spanning Trees in a Graph, The Knight’s tour problem | Backtracking-1, Permutation of numbers such that sum of two consecutive numbers is a perfect square, Dijkstra’s shortest path algorithm | Greedy Algo-7, Dijkstra’s Algorithm for Adjacency List Representation | Greedy Algo-8, Johnson’s algorithm for All-pairs shortest paths, Shortest path with exactly k edges in a directed and weighted graph, Dial’s Algorithm (Optimized Dijkstra for small range weights), Printing Paths in Dijkstra’s Shortest Path Algorithm, Shortest Path in a weighted Graph where weight of an edge is 1 or 2, Minimize the number of weakly connected nodes, Betweenness Centrality (Centrality Measure), Comparison of Dijkstra’s and Floyd–Warshall algorithms, Karp’s minimum mean (or average) weight cycle algorithm, 0-1 BFS (Shortest Path in a Binary Weight Graph), Find minimum weight cycle in an undirected graph, Minimum Cost Path with Left, Right, Bottom and Up moves allowed, Minimum edges to reverse to make path from a source to a destination, Find Shortest distance from a guard in a Bank, Find if there is a path between two vertices in a directed graph, Articulation Points (or Cut Vertices) in a Graph, Eulerian path and circuit for undirected graph, Fleury’s Algorithm for printing Eulerian Path or Circuit, Count all possible walks from a source to a destination with exactly k edges, Find the Degree of a Particular vertex in a Graph, Minimum edges required to add to make Euler Circuit, Find if there is a path of more than k length from a source, Word Ladder (Length of shortest chain to reach a target word), Print all paths from a given source to a destination, Find the minimum cost to reach destination using a train, Find if an array of strings can be chained to form a circle | Set 1, Find if an array of strings can be chained to form a circle | Set 2, Tarjan’s Algorithm to find Strongly Connected Components, Number of loops of size k starting from a specific node, Paths to travel each nodes using each edge (Seven Bridges of Königsberg), Number of cyclic elements in an array where we can jump according to value, Number of groups formed in a graph of friends, Minimum cost to connect weighted nodes represented as array, Count single node isolated sub-graphs in a disconnected graph, Calculate number of nodes between two vertices in an acyclic Graph by Disjoint Union method, Dynamic Connectivity | Set 1 (Incremental), Check if a graph is strongly connected | Set 1 (Kosaraju using DFS), Check if a given directed graph is strongly connected | Set 2 (Kosaraju using BFS), Check if removing a given edge disconnects a graph, Find all reachable nodes from every node present in a given set, Connected Components in an undirected graph, k’th heaviest adjacent node in a graph where each vertex has weight, Find the number of Islands | Set 2 (Using Disjoint Set), Ford-Fulkerson Algorithm for Maximum Flow Problem, Find maximum number of edge disjoint paths between two vertices, Push Relabel Algorithm | Set 1 (Introduction and Illustration), Push Relabel Algorithm | Set 2 (Implementation), Karger’s algorithm for Minimum Cut | Set 1 (Introduction and Implementation), Karger’s algorithm for Minimum Cut | Set 2 (Analysis and Applications), Kruskal’s Minimum Spanning Tree using STL in C++, Prim’s algorithm using priority_queue in STL, Dijkstra’s Shortest Path Algorithm using priority_queue of STL, Dijkstra’s shortest path algorithm using set in STL, Graph implementation using STL for competitive programming | Set 2 (Weighted graph), Graph Coloring | Set 1 (Introduction and Applications), Graph Coloring | Set 2 (Greedy Algorithm), Traveling Salesman Problem (TSP) Implementation, Travelling Salesman Problem | Set 1 (Naive and Dynamic Programming), Travelling Salesman Problem | Set 2 (Approximate using MST), Vertex Cover Problem | Set 1 (Introduction and Approximate Algorithm), K Centers Problem | Set 1 (Greedy Approximate Algorithm), Erdos Renyl Model (for generating Random Graphs), Chinese Postman or Route Inspection | Set 1 (introduction), Hierholzer’s Algorithm for directed graph, Number of Triangles in an Undirected Graph, Number of Triangles in Directed and Undirected Graphs, Check whether a given graph is Bipartite or not, Minimize Cash Flow among a given set of friends who have borrowed money from each other, Boggle (Find all possible words in a board of characters) | Set 1, Hopcroft–Karp Algorithm for Maximum Matching | Set 1 (Introduction), Hopcroft–Karp Algorithm for Maximum Matching | Set 2 (Implementation), Optimal read list for given number of days, Print all Jumping Numbers smaller than or equal to a given value, Barabasi Albert Graph (for Scale Free Models), Construct a graph from given degrees of all vertices, Mathematics | Graph theory practice questions, Determine whether a universal sink exists in a directed graph, Largest subset of Graph vertices with edges of 2 or more colors, NetworkX : Python software package for study of complex networks, Generate a graph using Dictionary in Python, Count number of edges in an undirected graph, Two Clique Problem (Check if Graph can be divided in two Cliques), Check whether given degrees of vertices represent a Graph or Tree, Finding minimum vertex cover size of a graph using binary search, Creative Common Attribution-ShareAlike 4.0 International.