Freaks City

Dikjstra's Algorithm (Adjacency Matrix) #include <iostream> #include <cstring> #include <algorithm> using namespace std; const int MAX_NODES = 510; int node_count, edge_count; int graph[MAX_NODES][MAX_NODES]; int min_distance[MAX_NODES]; bool visited[MAX_NODES]; int dijkstra_shortest_path() { memset(min_distance, 0x3f, s ...

Cloud Service Billing Calculation Develop a program to calculate customer bills for a cloud service based on usage logs and pricing factors. The input consists of billing logs and a list of billing factors with thier unit prices. Each billing log entry contains timestamp, customer ID, billing factor, and usage duration. If multiple log entries ...

Dijkstra's algorithm computes the shortest path distances from a designated source vertex to all other vertices in a weighted, directed or undirected graph with non-negative edge weights. It operates greedily: at each step, it selects the unvisited vertex with the smallest known distance from the source, marks it as visited, and relaxes (i.e., ...

In competitive programming and system design, efficiently navigating complex networks and optimizing resource allocation often require mastery of graph algorithms. The following collection demonstrates implementations for several classic challenges, including broadcast optimization, structural analysis of trees, and constrained dynamic programm ...

Water Flow Simulation Siumlate water flow using two visited matriecs for tracking. Depth-First Search Implementation package main import "fmt" var dirs = [][]int{{1, 0}, {-1, 0}, {0, 1}, {0, -1}} func main() { var rows, cols int fmt.Scanln(&rows, &cols) grid := make([][]int, rows) vis1 := make([][]bool, ...

Problem A: Rope Cutting Condition The task requires determining how many ropes must be severed based on their attachment points. Each rope connects a nail at height a to a branch at height b. A cut is mandatory whenever the nail is positioned strictly higher than the branch. The algorithm iterates through all given pairs, evaluates this inequal ...

Dijkstra Algortihm: O(n²) Approach Dijkstra's algorithm solves the single-source shortest path problem for graphs with non-negative edge weights. It efficiently computes the minimum distance from a starting vertex to all other vertices using a greedy approach. Algorithm Overview Initialization: Set the source distance to 0 and all other vertic ...

Link-Cut Trees (LCT) represent an advanced data structure specifically designed to handle dynamic tree problems efficient. By utilizing prefered path decomposition and Splay trees, LCT maintains and manipulates tree structures with logarithmic amortized time complexity for most operations. Core Concepts Preferred Path Decomposition For a given ...

Wireless Network Coverage Optimization A city grid consists of 129 east-west streets and 129 north-south streets, forming intersections at integer coordinates (x, y) where 0 ≤ x, y ≤ 128. Some intersections host public venues, each with a known count of facilities. A single wireless transmitter must be placed such that its coverage area — an ax ...

Directed Acyclic Graphs (DAG)A Directed Acyclic Graph (DAG) is a directed graph containing no cycles. If a directed graph contains a cycle, no topological ordering exists. For a valid DAG, multiple valid topological orderings may be possible.For any vertex in a directed graph, the count of incoming edges is called in-degree, and the count of ou ...