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The main development is currently performed in volesti, a generic open source C++ library, with R and Python interfaces. volesti implements various algorithms for high-dimensional sampling and volume approximation as well as functions for copula estimation in financial modelling and metabolic network analysis.

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Source code R package Documentation Tutorials Contributing

Who is using our software ?

  • A. Venzke, D.K. Molzahn, S. Chatzivasileiadis - Efficient creation of datasets for data-driven power system applications, Electric Power Systems Research, Volume 190, 2021. WWW

  • P.Z.D. Martires, Samuel Kolb - Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration, 2020. WWW

  • C. Maria, O. RouillĂ© - Computation of Large Asymptotics of 3-Manifold Quantum Invariants, 2020. WWW

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GeomScale was accepted and participated in Google Summer of Code 2020 as a mentoring organization. The following projects was succesfully completed:

Members of GeomScale has succesfully participated in GSoC in the past with the R-project for statistical computing.