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ELL - Energy Landscape Library

ELL - 2.3.0

This document provides reference information about the Energy Landscape Library.

The goal

This C++ programming library provides a platform for generic algorithms to study kinetics and structure of energy landscapes with descrete states. This algorithms need an abstract representation of this states to be applied to a multitude of models and the corresponding energy or fitness landscapes.


Generic algorithms

A set of walks to traverse energy landscapes:
  • random walks
  • adaptive walks
  • gradient (steepest descent) walks
  • Monte Carlo walks with Metropolis criterion

Exhaustive landscape flooding:
  • flooding of single basins
  • flooding of multiple basins in parallel

All algorithms are fully parameterisable and very flexible concerning output and results.

States = Landscape Models

General features


The ELL depends on the following libraries:


Additionally, the documentation also features the following parts:

The following lists and indices are available