Python interface for the SCIP Optimization Suite
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Updated
Aug 15, 2024 - JetBrains MPS
Python interface for the SCIP Optimization Suite
SCIP - Solving Constraint Integer Programs
Extensible Combinatorial Optimization Learning Environments
Optimally allocate poker chips using constrained, nonlinear optimization
Template for deploying an optimization model accessible via a web service based on FastAPI, mongodb and celery
DataSAIL is a tool to split datasets while reducing information leakage.
Generators for Combinatorial Optimization
SCIP indexer for Kotlin. Implemented as a SemanticDB compiler plugin.
Python interface and modeling environment for GCG
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.
Docker with the SCIP Optimization Suite + Solving optimization with PySCIPOpt inside the container.
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.
Python code for graph coloring (vertex coloring) using PySCIPOpt, the Python wrapper from SCIP
Scaling SCIP with Ray on Azure
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.
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