Comments (2)
We would have some nice use cases for this, for example if you perform a low rank approximation of a block diagonal matrix which preserves the block structure, you want to perform a low rank approximation of the blocks separately (where potentially each block could have an associated rank). That corresponds to this kind of slicing operation, where you slice each block to the corresponding rank, or drop a block if the block rank goes to zero.
from blockarrays.jl.
Closed by #1489.
from blockarrays.jl.
Related Issues (20)
- Functionality for slicing with unit ranges that preserves block information HOT 8
- Slicing a `BlockIndexRange` with unit ranges doesn't return a `BlockedIndexRange`
- More convenient syntax for merging blocks
- Generic interface for constructing `AbstractBlockArray`s: `blocked(a::AbstractArray, blocklengths...)`
- `getindex(::UnitRange, ::BlockedUnitRange)` isn't blocked HOT 1
- More convenient syntax for getting the size of a block HOT 5
- Definition of BlockUnitRange HOT 3
- Overload dot HOT 3
- Bug: Block indexing changed between 0.16.40 and 0.16.43 HOT 1
- Failing to compile on 1.12 nightly HOT 7
- Rename PseudoBlockArray to BlockedArray (v1.0) HOT 1
- Make `blocks(randn(2, 2))[1, 1]` return the original array
- `mortar([Block(1)[1:2], Block(2)[1:2]])[Block(1)]` has type `Vector{BlockIndex{1}}` instead of `BlockIndexRange{1}`
- `+(::BlockVector, ::Vector)` promotes axis from `BlockedOneTo` to `BlockedUnitRange`
- zero dimensional BlockArray and BlockedArray are broken HOT 5
- Stackoverflow with broadcast += between Vector and scalar*BlockedVector
- Overlapping blocks: here or a new package? HOT 7
- Examples of mortar() for nd arrays? HOT 2
- Array conversion breaks image outputs? HOT 1
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from blockarrays.jl.