If a mathematical-modeling professional team is going to model a complex
space rocket or a complex production plant or service based business,
they should know and well versed in the following aspects
1. Boundary Conditions (Also Constant Input Parameters),
2. Varying Input Parameters,
3. Output Parameter
For a simple analogy is a cinema show. In a cinema show, you know the theater ambience, ticket cost, seats conditions, ac hall or open theater and even your mood, all these things are the boundary conditions.
The movie is the varying input parameter. It’s first seen to the last seen it gives various information to you.
The output is appetizing of your eagerness to get the next information. In simple words, your interest is to continue to see the movie and come again with your family and friends or walk away.
Now we will see the boundary conditions where you may ask that the use of the boundary condition is. Just you thing, if you change the ticket amount automatically the theater will change or the seating position will change. It reflects the output.
The input versus output is a simple one but, takes care here; you cannot applicable it anywhere, which means your full effort model cannot pay you the modeling fee.
At a same time if you use a boundary condition then your result is in more words. You may fear, your client will listen your result. Because “Comedy films are always pays more money to the producers”. This modeling result is more stylish and sharp and easily reachable to the clients. But at a same time, “Comedy films pays when those are playing in X ticket amount theaters and the audience will mothers and kids, then only they will familiarize the film as soon as possible and producer get more collection” statement is the true.
Here you can the change the input information, comedy film to family subject film or as you like then the output will automatically change.
The basic of the modeling is boundary condition. If you carefully choose the boundary condition then model will give outstanding performance and which will become more reliable.
Next we will introduce the linear modeling….
1. Boundary Conditions (Also Constant Input Parameters),
2. Varying Input Parameters,
3. Output Parameter
For a simple analogy is a cinema show. In a cinema show, you know the theater ambience, ticket cost, seats conditions, ac hall or open theater and even your mood, all these things are the boundary conditions.
The movie is the varying input parameter. It’s first seen to the last seen it gives various information to you.
The output is appetizing of your eagerness to get the next information. In simple words, your interest is to continue to see the movie and come again with your family and friends or walk away.
Now we will see the boundary conditions where you may ask that the use of the boundary condition is. Just you thing, if you change the ticket amount automatically the theater will change or the seating position will change. It reflects the output.
The input versus output is a simple one but, takes care here; you cannot applicable it anywhere, which means your full effort model cannot pay you the modeling fee.
At a same time if you use a boundary condition then your result is in more words. You may fear, your client will listen your result. Because “Comedy films are always pays more money to the producers”. This modeling result is more stylish and sharp and easily reachable to the clients. But at a same time, “Comedy films pays when those are playing in X ticket amount theaters and the audience will mothers and kids, then only they will familiarize the film as soon as possible and producer get more collection” statement is the true.
Here you can the change the input information, comedy film to family subject film or as you like then the output will automatically change.
The basic of the modeling is boundary condition. If you carefully choose the boundary condition then model will give outstanding performance and which will become more reliable.
Next we will introduce the linear modeling….
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