Engineers working on high-tech applications consistently utilize approximations in their analytical models, as exact measurements and laws are inherently limited by uncertainties and simplifications. While classical theories like Coulomb's law provide precise models, modern theories such as Quantum Field Theory (QFT) incorporate built-in approximations, leading to complex calculations for scattering probabilities. The discussion emphasizes that engineering is fundamentally about optimizing various parameters, where the necessity for precision varies based on specific project requirements. Ultimately, the consensus is that perfection is impractical and often counterproductive in engineering practices.
PREREQUISITESEngineers in fields such as mechanical, electrical, and aerospace engineering, as well as students and professionals interested in the application of approximations in high-tech systems and design optimization.
I didn't question whether what you wrote was true. I said in my post "Alright, so it is true in EE. I wonder if this holds for mechanical engineering as well" since you mentioned you're an EEDaveE said:Hmm, are we done here?
You asked a simple question and got a bunch of very similar answers from experienced engineers. What's the point? You don't have to believe us, do it your way.
It's true for all engineering disciplines. AlsoEddiePhys said:I didn't question whether what you wrote was true. I said in my post "Alright, so it is true in EE. I wonder if this holds for mechanical engineering as well" since you mentioned you're an EE