STL Algorithms for 3D Engines, Neural Nets & ALife

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SUMMARY

The discussion focuses on the use of the Standard Template Library (STL) algorithms in the context of 3D engines, specifically for physics-based simulations and applications involving Neural Networks and Artificial Life (ALife). Participants emphasize that while STL provides generalized algorithms and containers, optimizing these algorithms for specific applications can yield better performance. The consensus is that using STL is acceptable, but customization may be necessary for real-time applications.

PREREQUISITES
  • Understanding of Standard Template Library (STL) in C++
  • Familiarity with 3D engine development principles
  • Knowledge of physics-based simulations
  • Basic concepts of Neural Networks and Artificial Life (ALife)
NEXT STEPS
  • Research optimization techniques for STL algorithms in C++
  • Explore physics engines compatible with STL for 3D applications
  • Learn about customizing STL containers for performance in real-time systems
  • Investigate advanced Neural Network implementations using STL
USEFUL FOR

Software developers, game developers, and researchers working on 3D engines, physics simulations, and applications involving Neural Networks and Artificial Life will benefit from this discussion.

neurocomp2003
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this is mostlikely for chroot or dduardo...i hope that's how you spell it

what are your opinions on STL? especially using the algorithms...
I'm prolly going to use the containers but I was wondering whether its better to use the prebuilt algorithms or just use the containers...application is for 3D engines(physics-based) and Neural Nets/ALife so realtime i guess.
 
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There is nothing inherently wrong with using STL, it uses generalized algorithms, but depending on the application you can sometimes modify the algorithm to be more optimized for the case(s) your dealing with.
 

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