Formula Based Computation

Formula-based computation focuses on developing efficient and accurate methods for performing calculations, encompassing diverse applications from spreadsheet automation to complex scientific simulations. Current research emphasizes automating formula generation using machine learning techniques like contrastive learning, improving the usability of specialized mathematical frameworks like geometric algebra through user-friendly toolboxes, and addressing challenges in parallel computing, such as minimizing numerical errors in summation algorithms. These advancements aim to enhance the accessibility and efficiency of computation across various fields, from improving spreadsheet usability for non-programmers to enabling more robust and accurate scientific simulations.