Minimal Spanning Tree using Prim's Algorithm
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June 30, 2022
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Prim's algorithm starts from any vertex of the graph and marks it as a visited vertex. It selects a minimum weighted edge from the ...
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Single Source Shortest Path: Dijkstra's Algorithm
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June 30, 2022
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Dijkstra's algorithm is used to solve the single-source shortest-path problem for a graph having non-negative weights of edges. Thi...
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Fractional Knapsack using Greedy Approach
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June 30, 2022
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Let us consider that there are n items in a store. The weight of item i is wi (where wi > 0) and the worth of the item is vi (where...
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Greedy Method
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June 30, 2022
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Greedy algorithms always go for the seemingly best next thing, without any regard for the future, and never change your mind about the ...
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All Pair Shortest Path: Floyd-Warshall Algorithm
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June 30, 2022
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The Floyd-Warshall Algorithm is a fundamental method employed to address the all-pairs shortest path issue, which calculates the sho...
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Single Source Shortest Path: Bellman-Ford Algorithm
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June 30, 2022
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The Bellman-Ford Algorithm is a single-source shortest path algorithm used to find the shortest path from a source vertex to all other...
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Finding Longest Common Subsequence (Dynamic Programming)
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June 30, 2022
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Dynamic programming can be effectively applied to solve the Longest Common Subsequence (LCS) problem. The LCS is the longest substring...
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Matrix Chain Multiplication (Dynamic Programming)
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June 30, 2022
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This problem is the most popular example of DP. In this problem, we determine the optimal sequence of multiplication operations for a s...
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Dynamic Programming Method
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June 30, 2022
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Dynamic programming is a design technique similar to divide and conquer, but with a big difference. In Divide-and-Conquer algorithms a p...
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Quick Sort (Divide and Conquer Technique)
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June 30, 2022
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Source code for Quick Sort #include<stdio.h> #include<stdlib.h> #include<math.h> void swap(int *a, int *b) { in...
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Merge Sort (Divide and Conquer Technique)
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June 30, 2022
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Merge sort is a highly efficient sorting method that is particularly effective at organizing enormous datasets. The methodology employe...
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Max-Min Problem (Divide and Conquer Technique)
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June 30, 2022
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MaxMin is a recursive algorithm to find the largest and smallest elements from a set of elements. Let us consider an array ...
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Binary Search (Divide and Conquer Technique)
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June 30, 2022
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Binary Search is the simplest and most well-known example of this paradigm. If a set of n elements is given where the numbers are...
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Divide and Conquer Technique
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June 30, 2022
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This is a top-down technique for designing algorithms in which a problem is divided into smaller sub-problems, the sub-problems are ...
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Complexity Analysis of an Algorithm
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June 30, 2022
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The efficiency of an algorithm is measured based on space usage and time consumption . We will say that this algorithm is efficient i...
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Introduction to Algorithms
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June 30, 2022
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An algorithm is a set of steps defined for solving a problem in finite time and space. Generally, an algorithm is written to express th...
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MySql Database Backup & Restore
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June 29, 2022
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Sometimes, you may want to keep a backup copy of the mysql database. There are several methods to back up a MySQL database, one of which i...
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MySQL Event Scheduling
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June 29, 2022
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In large applications, like shopping carts, a huge volume of data is managed. This huge volume of data makes the database overloaded. Thus, ...
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Group By in MySQL Queries
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June 29, 2022
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In the previous books table, we have added one more attribute category to differentiate between Programming Languages and Theory Pap...
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Stored Procedures and Functions In MySQL
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June 29, 2022
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In MySQL, a stored procedure is nothing but a set of SQL statements that are stored in the server. The advantage of using a stored proced...
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Aggregate Functions in MySQL
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June 29, 2022
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Many aggregate functions are available in MySQL. The commonly used functions are discussed in this chapter. In this chapter, w...
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Order By in MySQL Queries
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June 29, 2022
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Using a select query, if you want to fetch data in the order of an attribute, the order by the statement is necessary. Let us r...
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