Giter Club home page Giter Club logo

iisc_assignemnt's Introduction

IISC_assignemnt-

Question 1 :Dijkstra's Algorithm Implementation

Overview

This repository contains an implementation of Dijkstra's algorithm in C++. Dijkstra's algorithm is a widely used algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks.

Contents

  • src/: Contains the C++ source code for the Dijkstra's algorithm implementation.
  • README.md: This README file providing an overview of the project.

Getting Started

To use the Dijkstra's algorithm implementation, follow these steps:

  1. Clone the repository to your local machine.

  2. Navigate to the src/ directory.

  3. Compile the C++ source code using a C++ compiler (e.g., g++):

    g++ dijkstra.cpp -o dijkstra
  4. Run the executable with the input graph file as a command-line argument:

    ./dijkstra input_graph.txt

    Replace input_graph.txt with the path to your input graph file. The input graph file should be in a specific format (e.g., adjacency list or adjacency matrix) as expected by the program.

Sample Input Graph Format

The input graph file should contain the graph representation in a specific format. For example, if using an adjacency list representation, each line in the file may represent a node followed by its adjacent nodes and corresponding edge weights.

Example input graph file format:

1 2:10 3:5
2 4:3
3 2:2 4:9
4 5:2
5

This represents a graph with nodes 1 to 5 and their adjacent nodes with corresponding edge weights.

Implementation Details

  • The program reads the input graph from a file and constructs a graph data structure.
  • It applies Dijkstra's algorithm to find the shortest paths from a specified source node to all other nodes in the graph.
  • The implementation may include optimizations or variations of Dijkstra's algorithm, depending on specific requirements or constraints.

Additional Notes

  • This implementation provides a basic version of Dijkstra's algorithm. Depending on the application, you may need to customize or extend it to handle specific edge cases or requirements.
  • Ensure that the input graph file follows the expected format for proper execution of the program.

Question 2: Finding Journeys in a Bus Network

Overview

This repository contains a solution for finding journeys in a bus network based on General Transit Feed Specification (GTFS) data. The program takes two command-line inputs: the source stop ID and the destination stop ID, and prints all possible direct journeys and journeys with one transfer between the specified stops.

Contents

  • src/: Contains the C++ source code for the solution.
  • data/: Contains sample GTFS data files used for testing.
  • README.md: This README file providing an overview of the project.

Getting Started

To run the program, follow these steps:

  1. Clone the repository to your local machine.

  2. Navigate to the src/ directory.

  3. Compile the C++ source code using a C++ compiler (e.g., g++):

    g++ main.cpp -o bus_journey_finder
  4. Run the executable with the source and destination stop IDs as command-line arguments:

    ./bus_journey_finder source_stop_id destination_stop_id

    Replace source_stop_id and destination_stop_id with the actual stop IDs you want to find journeys between.

Sample GTFS Data

The data/ directory contains sample GTFS data files (stops.txt and routes.txt) used for testing the program. You can replace these files with your own GTFS data files if needed.

Implementation Details

  • The program parses GTFS data to construct a graph representing the bus network, where stops are nodes and routes are edges connecting them.
  • It uses graph traversal algorithms to find direct journeys and journeys with one transfer between the specified stops.

Additional Notes

  • This solution provides basic functionality for finding journeys with direct routes and one transfer. You can extend it to handle journeys with two transfers by implementing similar logic.
  • The GTFS data used in this solution is simplified for demonstration purposes. In a real-world scenario, you may need to adapt the parsing logic to handle more complex data structures.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.