Abstract

Abstract This article proposes an approximate high-dimensional optimization method based on a multi-layer public space design reduction strategy. At the same time, we combined the analysis of fractional differential equations to decompose the design space and improve the matrix condition number. Finally, the article proposes a new point cloud curve matching method for public space design. The experimental simulation found that the mixed-use of fractional differential equations and shape space calculations to generate models have good results.

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