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docs: Add figure description.
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README.md
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README.md
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@ -65,12 +65,26 @@ IDRLnet supports
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- complex domain geometries without mesh generation. Provided geometries include interval, triangle, rectangle, polygon, circle, sphere... Other geometries can be constructed using three boolean operations: union, difference, and intersection;
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- complex domain geometries without mesh generation. Provided geometries include interval, triangle, rectangle, polygon, circle, sphere... Other geometries can be constructed using three boolean operations: union, difference, and intersection;
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![Geometry](https://raw.githubusercontent.com/weipeng0098/picture/master/20210617081809.png)
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![Geometry](https://raw.githubusercontent.com/weipeng0098/picture/master/20210617081809.png)
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- sampling in the interior of the defined geometry or on the boundary with given conditions.
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- enables the user code to be structured. Data sources, operations, constraints are all represented by ``Node``. The graph will be automatically constructed via label symbols of each node. Getting rid of the explicit construction via explicit expressions, users model problems more naturally.
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- sampling in the interior of the defined geometry or on the boundary with given conditions.
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- enables the user code to be structured. Data sources, operations, constraints are all represented by ``Node``. The graph will be automatically constructed via label symbols of each node. Getting rid of the explicit construction via explicit expressions, users model problems more naturally.
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- builds computational graph automatically;
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![computationDomain](https://raw.githubusercontent.com/weipeng0098/picture/master/20220815142531.png)
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- user-defined callbacks;
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![callback](https://raw.githubusercontent.com/weipeng0098/picture/master/20220815142621.png)
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- solving variational minimization problem;
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- solving variational minimization problem;
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<img src="https://raw.githubusercontent.com/weipeng0098/picture/master/20210617082331.gif" alt="miniface" style="zoom:33%;" />
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<img src="https://raw.githubusercontent.com/weipeng0098/picture/master/20210617082331.gif" alt="miniface" style="zoom:33%;" />
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- solving integral differential equation;
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- adaptive resampling;
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- solving integral differential equation;
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- adaptive resampling;
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- recover unknown parameters of PDEs from noisy measurement data.
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- recover unknown parameters of PDEs from noisy measurement data.
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It is also easy to customize IDRLnet to meet new demands.
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It is also easy to customize IDRLnet to meet new demands.
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