Decompose blocks of different dimension #282
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schillic
approved these changes
Mar 6, 2018
src/Approximations/decompositions.jl
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| #### Different dimensions | ||
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| By default, `decompose` returns a Cartesian product of `Hyperrectangle` sets. |
src/Approximations/decompositions.jl
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| LazySets.Hyperrectangle{Float64}([0.0, 0.0], [1.0, 1.0]) | ||
| ``` | ||
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| Other block sizes can be specified using the `blocks` option, that refers to |
src/Approximations/decompositions.jl
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| true | ||
| true | ||
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| julia> [ai isa Interval for ai in array(decompose(S, set_type=Interval))] |
src/Approximations/decompositions.jl
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| We can define different set types for different blocks, using the | ||
| optional `block_types` input argument. It is a dictionary where the keys correspond | ||
| to set types, and the values correspond to the blocks, namely the initial and final | ||
| block variables should be given. |
src/Approximations/decompositions.jl
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| LazySets.Hyperrectangle{Float64}([0.0, 0.0], [1.0, 1.0]) | ||
| ``` | ||
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| We can the options, and the ``ε`` is passed to the `HPolygon` if it corresponds: |
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We can additionally pass ε, which is automatically used for each HPolygon type block.
| for bi in val | ||
| push!(set_type, key) | ||
| push!(initial_block_indices, bi[1]) | ||
| push!(blocks, bi[end]-bi[1]+1) |
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Maybe do not add +1, and then you can remove the - 1.
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Closes #281.