Python interface for the SCIP Optimization Suite
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Updated
May 17, 2024 - JetBrains MPS
Python interface for the SCIP Optimization Suite
Extensible Combinatorial Optimization Learning Environments
SCIP - Solving Constraint Integer Programs
SCIP indexer for Kotlin. Implemented as a SemanticDB compiler plugin.
Template for deploying an optimization model accessible via a web service based on FastAPI, mongodb and celery
Python code for graph coloring (vertex coloring) using PySCIPOpt, the Python wrapper from SCIP
An extensible abstraction layer that unifies access to permissionless and permissioned blockchain systems and provides an asynchrounous API to its clients focusing on tasks to handle the uncertainty of transaction durability in blockchains.
Python interface and modeling environment for GCG
Docker with the SCIP Optimization Suite + Solving optimization with PySCIPOpt inside the container.
Generators for Combinatorial Optimization
A case-study that shows how the Smart Contract Locator (SCL), the Smart Contract Description Language (SCDL), and the Smart Contract Invocation Protocol (SCIP) can be used in combination to support the integration of heterogeneous multi-blockchain setups into client applications.
Column generation notebooks presented during the Workshop on exact methods for large-scale Discrete Optimization in SE2A
A GUI-tool for computing Nash flows over time with or without spillback as well as (spillback) thin flows.
QRS parameters detection and basic diagnostis
SCIP with threading functionality in Docker (scip.zib.de)
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