Finset algs #2
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Finset algs #2
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…raicOptimization.jl into finset-algs Merge add cvx with benchmark results.
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #2 +/- ##
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- Coverage 97.91% 23.13% -74.78%
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Files 2 8 +6
Lines 48 376 +328
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+ Hits 47 87 +40
- Misses 1 289 +288 ☔ View full report in Codecov by Sentry. |
jpfairbanks
reviewed
Mar 5, 2024
| (s::Optimizer)(x::Vector) = s.dynamics(x) | ||
| dom(s::Optimizer) = s.state_space | ||
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| struct ContinuousOpt <: FinSetAlgebra{Optimizer} end |
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Are these continuous decision variables or continuous time differentials? Should be in the docstring.
| A[v,e] = -1 | ||
| end | ||
| end | ||
| return A |
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You can do this in linear time with
A = zeros(V,E)
for e in parts(g, :E)
A[src(e),e] = 1
A[tgt(e),e] = -1
end| function draw2(n::Int) | ||
| a = rand(1:n) | ||
| b = rand(1:n-1) | ||
| b += (b >= a) |
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wat?
What process are you trying to sample from?
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Implemented the translation of a finset algebra to a cospan algebra.
Reimplemented existing code in terms of finset algebras.
Implemented the algebra of network flow graphs and their natural transformation into optimization problems via dual decomposition.
Ran some benchmarks and generated some figures for paper.