Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 15, 2021


Pages

751-760


DOI

Article

The Optimal Solution of Feature Decomposition Based on the Mathematical Model of Nonlinear Landscape Garden Features

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Authors

Shanshan Hu Affiliation:
College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
, Qi Meng Affiliation:
College of Humanities and Law,Northeast Forestry University, Harbin 150040, China
, Dawei Xu Affiliation:
College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
and Udai Ali Al-Juboori Affiliation:
Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

This Article aims at the current high idle rate of landscaped gardens and a single overall style. The article inputs the quantitative relationship programming of the dynamic model of the urban landscape ecological city system into the Grasshopper software to obtain the urban landscape parameter growth curve, and at the same time applies the nonlinear parameterized model method to the landscape design. The research found that the feature form of the landscape garden presented in the thesis is mainly based on the nonlinear transformation of the local analysis structure feature. In the end, the thesis deeply researches the existing operating modes based on the concept of nonlinear thinking. Furthermore, it combines with information technology to supplement and update the traditional landscape construction from different perspectives.


Keywords

Nonlinear, landscape garden features, wavelet transformation, mathematical variance model, feature decomposition, the optimal solution, 62J10


Citation

Hu, S., Meng, Q., Xu, D., & Al-Juboori, U. A. (2021). The optimal solution of feature decomposition based on the mathematical model of nonlinear landscape garden features. Applied Mathematics and Nonlinear Sciences, 6(1), 751–760. https://doi.org/10.2478/amns.2021.1.00070

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