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[ 原始碼: scikit-fmm  ]

套件: python3-scikit-fmm (2019.1.30-1ubuntu2)

fast marching method extension (Python 3)

This module implements the fast marching method, used to model the evolution of boundaries and interfaces in a variety of application areas. More specifically, the fast marching method is a numerical technique for finding approximate solutions to boundary value problems of the Eikonal equation:

F(x) | grad T(x) | = 1

Typically, such a problem describes the evolution of a closed curve as a function of time T with speed F(x)>0 in the normal direction at a point x on the curve. The speed function is specified, and the time at which the contour crosses a point x is obtained by solving the equation.

scikit-fmm provides functions to calculate the signed distance and travel time to an interface described by the zero contour of the input array phi.

其他與 python3-scikit-fmm 有關的套件

  • 依賴
  • 推薦
  • 建議
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: libc6-udeb
    dep: libc6 (>= 2.17) [arm64, ppc64el]
    dep: libc6 (>= 2.4) [armhf]
  • dep: libgcc-s1 (>= 3.0) [除 armhf]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
    本虛擬套件由這些套件提供: python3-numpy
  • sug: python-scikit-fmm-doc
    套件暫時不可用

下載 python3-scikit-fmm

下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
amd64 44.3 kB157 kB [文件列表]
arm64 42.6 kB145 kB [文件列表]
armhf 41.1 kB126 kB [文件列表]
ppc64el 47.9 kB209 kB [文件列表]