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MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation...

alleged to the video 'tutorial' "the Mechanics and its Simulation". Simulation with Lagrangian method, both symbolic, and by numerical derivation. All well-grouped in folders. there is also a 'review' in 3 demos of the Newtonian dynamics: mass-spring systems. most of progs are written in C, with use of SDL lib to display simple graphics and have real-time interactivity. As to programming complexity, it's very simple... this all aims at classical physics simulation in a simple but efficient...