This paper succinctly illustrates challenges encountered when modelling systems mathematically. Mathematical modelling entirely entails math symbols,numbers and relations forming a functional equation. These mathematical equations can representany system of interests, also provides ease computer simulations. Mathematical models are extensively utilized in different field s i.e. engineering, by scientists, and analysts to give a clear understanding of the problem . Modelling contributed a lot since inversion of the concept. Simple and complex structures erected as a result of modelling. In that sense modelling is an important part of engineering. It can be referred to as the primary building block of every system. A complex model however is not an ideal solution. Engineers have to be cautious not to discard all information as this might render the designed model useless– as detailed in this paper the model should be simple with all necessary and relevant data. Basically the purpose of thispaper is to show the importance and clearly explain in detail challenges encountered when modelling
[1]
I. A. Ali,et al.
Modeling and Simulation of MEMS Components: Challenges and Possible Solutions
,
2012
.
[2]
Levent Yilmaz,et al.
Grand challenges on the theory of modeling and simulation
,
2013,
SpringSim.
[3]
Duane C. Hanselman,et al.
Mastering MATLAB 5: A Comprehensive Tutorial and Reference
,
1995
.
[4]
Wentong Cai,et al.
Grand challenges in modeling and simulation: expanding our horizons
,
2013,
SIGSIM PADS '13.
[5]
Satyobroto Talukder,et al.
Mathematical Modelling and Applications of Particle Swarm Optimization
,
2011
.
[6]
George J. Klir,et al.
Uncertainty Modeling and Analysis in Engineering and the Sciences (Hardcover)
,
2006
.
[7]
Jos F. Sturm,et al.
A Matlab toolbox for optimization over symmetric cones
,
1999
.
[8]
Anany Levitin,et al.
Introduction to the Design and Analysis of Algorithms
,
2002
.