This project represents a small sample of the research corpus from the advanced projects within the Qompute.ai ecosystem of research and development. Focused on the fundamental mathematics which ground computational efficiency efforts in all applications, this resource is meant to further the understanding and knowledge transfer fundamental discoveries or best practices in achieving leading computational capabilities. From quaternionic wavelet operations for lossless dimensional reduction and reconstruction to hilbert space creation from arbitrary data inputs, we aim to be the leaders in advanced applied mathematics for combinatorial calculus in computational science.
stablefield/applied-research
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