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🚀 Unlocking Insights with Dynamic Mode Decomposition (DMD): A Comprehensive Tutorial Dive into the world of dynamic mode decomposition with our step-by-step tutorial! 🌐 Dynamic Mode Decomposition is a powerful data-driven technique with applications ranging from control systems to surrogate modeling. In this video, we break down the intricate details, providing you with a complete derivation of DMD. 🎓 Who Should Watch: Engineers and scientists interested in data-driven methods Anyone seeking a deep understanding of Dynamic Mode Decomposition Anyone looking for an open source library for Dynamic Mode Decomposition 🔗 Command line options to generate results shown in the YouTube tutorial: mpirun -np 8 ./heat_conduction -s 1 -a 0.0 -k 1.0 -rs 2 -rp 2 mpirun -np 8 ./heat_conduction -s 1 -a 0.0 -k 1.0 -rs 2 -rp 3 mpirun -np 8 ./heat_conduction -s 1 -a 0.0 -k 1.0 -rs 2 -rp 4 mpirun -np 8 ./heat_conduction -s 1 -a 0.0 -k 1.0 -rs 2 -rp 5 📈 Stay Tuned for next tutorial: Parametric dynamic mode decomposition 🔗 Connect with Us: libROM webpage: www.librom.net libROM GitHub repo: https://github.com/LLNL/libROM pylibROM GitHub repo: https://github.com/LLNL/pylibROM A list of libROM tutorials: 1. Poisson equation & its finite element discretization ( • [libROM tutorial] Poisson equation & its f... ) 2. Projection-based reduced order model for Poisson equation ( • [libROM tutorial] Projection-based reduced... ) 3. Physics-informed sampling method for reduced order models ( • [libROM tutorial] Physics-informed samplin... ) 4. Local reduced order models and interpolation-based parameterization ( • [libROM tutorial] Local reduced order mode... ) 5. Projection-based reduced order model for nonlinear system ( • [libROM tutorial] Projection-based reduced... ) 6. A complete derivation of dynamic mode decomposition ( • [libROM tutorial] A complete derivation of... ) 👉 Don't miss out on mastering Dynamic Mode Decomposition! Watch now and revolutionize your approach to data-driven analysis. 🚀 If you have any questions, feel free to leave your comments below.