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| author | Edoardo Pasca <edo.paskino@gmail.com> | 2019-03-04 13:26:46 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-03-04 13:26:46 +0000 |
| commit | 8b218f9fd8ef283c5d1dde0e7268301de64f47d4 (patch) | |
| tree | b8f6a1146d76f46aaeb765dc017ec7ebaea5c330 | |
| parent | f3b4bae3e07d5b6808318d680429722cf7d92f48 (diff) | |
| download | framework-8b218f9fd8ef283c5d1dde0e7268301de64f47d4.tar.gz framework-8b218f9fd8ef283c5d1dde0e7268301de64f47d4.tar.bz2 framework-8b218f9fd8ef283c5d1dde0e7268301de64f47d4.tar.xz framework-8b218f9fd8ef283c5d1dde0e7268301de64f47d4.zip | |
use bullet point
| -rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -95,9 +95,9 @@ In `ccpi.framework` we define a number of common classes normally used in tomogr New algorithms can be easily created by extending the `Algorithm` class. The user is required to implement only 4 methods: `set_up`, `__init__`, `update` and `update_objective`. - #. `set_up` and `__init__` are used to configure the algorithm - #. `update` is the actual iteration updating the solution - #. `update_objective` defines how the objective is calculated. + * `set_up` and `__init__` are used to configure the algorithm + * `update` is the actual iteration updating the solution + * `update_objective` defines how the objective is calculated. For example, the implementation of the `update` of the Gradient Descent algorithm to minimise a `Function` will only be: ```python |