There are 1 repository under scip topic.
Template for deploying an optimization model accessible via a web service based on FastAPI, mongodb and celery
SCIP indexer for Kotlin. Implemented as a SemanticDB compiler plugin.
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.
DataSAIL is a tool to split datasets while reducing information leakage.
Workshop materials for SFSU SCIP 2022.
travelling salesman problem using ortools
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.
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
Docker with the SCIP Optimization Suite + Solving optimization with PySCIPOpt inside the container.
This repository contains a pre-configured development container designed for conducting discrete optimization tasks within Visual Studio Code.
modeling tutorial
Solving the 2D Strip Packing problem with mutiple optimization techniques.
QRS parameters detection and basic diagnostis
Experiment with disk graphs, test conjecture, and draw figures using SCIP
Perform Principal component analysis and perform clustering using the first 3 principal component scores (both hierarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained the same number of clusters with the original data (class column we have ignored at the beginning who shows it has 3 clusters)
A Branch-and-Price implementation of the graph coloring problem using SCIP
Exercises of Structure and Interpretation of Computer Programs
Segunda parte del trabajo práctico N°1 de la materia Modelado y Optimización