Simulation Homework Help



 

Simulation is a way to program a mathematical-physical model to a physical phenomenon, using the computer, to find out how the results are representing the physical phenomenon as thought to be.

Simulation is an advanced form of pretending or make-believe. it takes one’s imagination applied to the real objects to form a possible outcome ; or demonstrate a desired effect. Simulation refers to imitating a real life scene or situation or process.

In VR, simulation refers to projection of real life entities as an immersive technology where the users feel being a part of the real world itself while being in the virtual world. They can feel, touch, experience these real life events with overwhelming modifications which gives them a different experience.



 

What are the disadvantages of simulation?

How useful a simulation depends on how you intended to use it.

Simulations in science research help to point the way to new discoveries. They are never new discoveries in themselves. The quality of the simulation must be sufficient for the purpose. Simulations must be tested against real data before jumping off into the unknown. Even then, they only suggest. They do not tell.

Simulations in science education provide a “honey trap” for educators. They can have slick graphics and a nifty user interface — but beware. Students can use them as visualization devices where the real thing is just not available. Students should never investigate a simulation. They would be investigating an algorithm, which is mathematics and not science. Science is about the real world.

Science education should be teaching students the nature of science and giving them experience with empirical data as well as training in scientific thinking skills. These all go out the window with simulations. Give them real experiments that are run in the real world and that deliver true empirical data, preferably data that they measure themselves.


 

What are the facts of simulation?

Typical properties of a simulation include:

  • Model: the simulation has rules for how “substance” exists, changes, and interacts. Fractals use an equation for the model.
  • Randomness: Monte Carlo simulations, test simulations, etc. often use randomness in order to explore all possible scenarios.
  • Initial conditions: simulations run with different parameters in order to explore different results.
  • Non-intervention: Usually simulations run on their own in order to have self-consistent or repeatable results.


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What is Matlab and simulation:


It is used for all your mathematical calculations, like solving differential equations, matrices, etc. But also nowadays MATLAB comes with a bunch of additional packages for different fields of science like Genetic engineering, etc it has an environment to solve real World problems in Engineering by simulating with devices that are already mathematically designed in it, all we need to do is to call some functions or take the block to connect it as desired and study the response. It has much more I can't explain everything here. Why can't you take a look….

MATLAB is used for a wide range of applications, in industries and academics, including machine learning and deep learning, signal processing and communications, test and measurement, image and video processing, control systems, computational finance, and computational biology by millions of engineers and scientists worldwide.Matlab program and script files are always saved by giving filenames ending with ".m" extension such as ‘program.m’.

 

The full form of MATLAB is Matrix Laboratory. It is a programming language developed by MathWorks which operates in communal programming circumstances.

It is mainly used as a matrix programming language where linear algebra programming was easy and simple. It can be used both under interactive sessions and as a bunch job. 

MATLAB is used for scientific and technical computing, it is a high-performance language. MATLAB allows students to give fluidity to MATLAB programming language. It collaborates computation, calculation, visualization, and programming in an easy-to-use and simple domain where problems and solutions are shown in recognizable mathematical symbols. Problem-oriented MATLAB samples have been expressed in a simple and easy way to build your learning fast and successfully.

A simulation is an advanced form of pretending or make-believe. it takes one’s imagination applied to the real objects to form a possible outcome, or demonstrate the desired effect. Simulation refers to imitating a real-life scene or situation or process.

In VR, simulation refers to the projection of real-life entities as an immersive technology where the users feel like being a part of the real world itself while being in the virtual world. They can feel, touch, and experience these real-life events with overwhelming modifications which gives them a different experience.




 

How does one use MATLAB to modify simulation in LTSpice?

You don't do it modify simulations in SPICE, you just extract the simulated data and perform the required analysis on it. As an example, you can perform the transuent simulation of an ADC block on SPICE, extract the data into MATLAB and perform histogram analysis.

Or you might have an RF circuit that requires matching, you just extract the circuit parameters into MATLAB and perform the matching there. There are endless permutations and combinations of MATLAB's built-in SPICE interface that can be employed.




 

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