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DEMO (Differential Evolution for Multiobjective Optimization) is an algorithm based on differential evolution for solving multiobjective optimization problems. The repository contains the DEMO program, its documentation and a test simulator.

Simplified 3D environment project.

During my PhD, I was using Incompact3d (http://www.incompact3d.com/) to perform DNS (Direct Numerical Simulation) of the turbulent channel flow with (conjugate) heat transfer.

All things related to St. Johann Sommerakademie AG2.

Convolutional neural network.

Official python bindings for A1 hmbook library.

See README

See README

Block that produces sync output from async input.