Can a microprocessor simulate physical processes using machine language?

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Discussion Overview

The discussion centers on the capabilities of microprocessors to simulate physical processes using machine language, with a focus on numerical methods for differential equations, integrals, and recursive formulas. Participants explore the types of mathematical processes that can be modeled and the implications of using machine language in these simulations.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant questions the types of physical processes that can be simulated with machine language, specifically asking about differential equations and integrals.
  • Another participant asserts that numerical methods exist to solve any differential equation and emphasizes that all computers operate using machine language code.
  • A different participant introduces the idea of using capacitive and inductive feedback for integration and differentiation, suggesting that these can be modeled with machine code.
  • One participant comments on the practicality of differentiation without inductors in certain filters, indicating a preference for capacitive feedback.
  • Another participant clarifies the distinction between feedback loops with physical inductors and those with inductive characteristics, noting that similar effects can be achieved using capacitors and resistors.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility and methods of simulating physical processes with machine language, indicating that multiple competing perspectives remain without a clear consensus.

Contextual Notes

The discussion includes assumptions about the capabilities of machine language and numerical methods, as well as the practical implications of using different electronic components for simulation.

juan avellaneda
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what kind of physical proceses can be simulated with a microprocessor using machine language
is possible to simulate a differential equation?, or integral?, or just can be used with processes that involve integer or rational numbers
i think also to use in recursive formulas, but i could not find any example of a process that uses this formulas
any sugestion??
thks
 
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This all depends on your ability to generate machine language code. Numerical methods exist to solve any differential equation you can come up with. You must remember that all computers run ONLY machine language code. The list of problems which cannot be numerically simulated is much shorter that then those that can be.

Do you have any specific questions?
 
I realize that you're asking about machine language, but what about capacitive and inductive feedback? Is that an option for you. Integration can be accomplished with an opamp using capacitive feedback and differentiation can be accomplished with an opamp using inductive feedback. If it must be machine code, then I would suspect that there is probably a way to model or simulate these simple circuit configurations using machine code which has been well developed.
 
Turin

Thank heaven you can do differentiation without inductors, otherwise many filters would be impractical.
 
A feedback loop with actual physical inductors is generally different than a feedback loop with an inductive characteristic. The nature of the feedback can be inductive while using only capacitors and resistors in the feedback loop (electronically, of course, not physically). This is similar to the difference between a simple low pass filter using an inductor and a simple lowpass filter using a capacitor.
 

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