Writing research papers or technical documents can be a time-consuming task, and it is important to focus on the content rather than spend time on formatting. LaTeX is a powerful tool that allows for professional typesetting and formatting, but it can be difficult to use for writing pseudo code of C++ programs. The process of analyzing, setting up and getting it right can be quite tedious. Our web application, cpp2latex, solves this problem by providing an efficient and accurate conversion process for C++ code to LaTeX pseudo code. This enables authors to focus on the content and logic of the code, rather than spending time on formatting. cpp2latex is a valuable tool for programmers and researchers, as it simplifies the process of writing and formatting pseudo code, allowing for a more professional and polished final document.
So, Elevate your technical writing with simplicity, through our C++ to LaTeX pseudo code conversion tool. Simply input your code and let our advanced algorithms do the rest - generating professional-grade LaTeX code with just one click!”
Our web app supports all features offered by LaTeX for programs, including basic conditional statements, nested loops with conditionals, and comments. We will provide you with the perfect LaTeX code.
We, as a team, encountered a complex problem that required utilising our programming skills to the fullest. After searching for various solutions, we were able to develop the most optimized solution with linear time complexity. The biggest challenge we faced was coding the entire solution in one day.
We utilized regular expressions to solve the problem finding it the most optimal and feasible approach, after exploring options and spending time involving Bash scripting, iterative code modifications, and parse trees. This required us to put our core computer science fundamentals, such as compiler design, theory of computation, and algorithm design analysis, to the test.
Implementing the do-while loop to latex was a big hurdle that we faced as the latex did not officially support it, so we used a workaround and used the repeat until clause. Also, nested if-else implementation required extreme brain-storming.
Additionally, we developed an API that could be used with our backend script. The API was designed to provide text input and output a solution on the same page without redirecting to other pages using Flask. The deployment of the web page on the new platform, Replit, also took some effort as it required learning new skills.
Overall, building the solution was a challenging and rewarding experience that allowed us to showcase our skills and knowledge in programming and computer science.
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