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Fix reference
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AlessandroPierro authored Oct 24, 2023
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Expand Up @@ -59,7 +59,7 @@ As this short list shows, JOSS papers are only expected to contain a limited set
- `Lava Optimization` increases productivity on developing and testing novel neuromorphic algorithms and applications
- The library abstracts away the neuromoprhic aspect of the backend, exposing an API typical of constrained optimization (variables, constraints, cost, etc.)
- Supports the community in developing algorithms that are iterative, discrete, and distributed
- We leveraged the library architecture to develop multi-backend QUBO and QP solvers, and received contirbutions from the community for a Bayesian `[@lavabo]` and LCA solvers
- We leveraged the library architecture to develop multi-backend QUBO and QP solvers, and received contirbutions from the community for a Bayesian [@lavabo] and LCA solvers

# Statement of need

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