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About Lecture Notes:Introduction: Mathematical Modeling: Area of Application
Mathematical modeling has applications in research and development, design, plant operations, and projects. It involves simulating a process using mathematical equations as opposed to physical modeling, which experiments directly on the real process. Mathematical modeling is more economical and less time-consuming than physical modeling. A good mathematical model is based on experimental facts and relationships between process variables, and can predict process behavior and help control its course. Key aspects of developing a model include its basis, assumptions, mathematical consistency, solving model equations, and verification.
Detailed Information
| Author: | ['Ankita Goyal'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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