<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This Article aims at the current high idle rate of landscaped gardens and a single overall style. The article inputs the quantitative relationship programming...

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

Pubblicato online: 15 dic 2021

Pagine: 751 - 760

Ricevuto: 16 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.1.00070

Parole chiave
Nonlinear, landscape garden features, wavelet transformation, mathematical variance model, feature decomposition, the optimal solution

© 2021 Hu et al., published by Sciendo.

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Pubblicato online: 15 dic 2021

Pagine: 751 - 760

Ricevuto: 16 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.1.00070

Parole chiaveNonlinear, landscape garden features, wavelet transformation, mathematical variance model, feature decomposition, the optimal solution

© 2021 Hu et al., published by Sciendo.

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Nonlinear, landscape garden features, wavelet transformation, mathematical variance model, feature decomposition, the optimal solution