This project is a short write up referencing cp-algorithms. Specifically, I explain how Discrete Fourier Transform (DFT) can be used to solve string matching problems efficiently.
It includes a custom implementation of the DFT algorithm, which is used to find occurrences of a pattern in a text string. The implementation is designed to handle large inputs efficiently by leveraging the properties of the DFT and breaks down the calculation of how the discrete Fourier transform can be used to find the number of occurrences of a pattern in a text string.
This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.