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Only the middle-aged and elderly would write this with a tearful nose. I graduated from college in the last century, and during that time, I was learning FORTRAN and C. These high-level programming languages required strict formatting, which I found quite frustrating. It wasn’t until I encountered MATLAB that I truly became interested in simulation, and that’s when I began my journey into research and development.
I won't go into my personal experiences right away; let's jump straight into the topic.
The evolution of simulation is closely tied to the advancement of computer technology.
Analog computers emerged in the 1940s, primarily used for designing aircraft. At that time, most computers were dedicated systems focused on calculations—simulation had little to do with it. By the early 1950s, general-purpose analog computers appeared.
I’ve never seen one of these in person.
By the late 1950s, digital computers had made great progress. During this period, there were also significant developments in the numerical solution of differential equations. This led to the emergence of high-level programming languages like FORTRAN. (Back then, in the late 1950s, I felt like an old man just thinking about it!) As a result, digital computers started being widely used for non-real-time simulations.
In 1958, to meet the needs of high-speed dynamic system simulation, the first analog/digital hybrid computer was developed, mainly used for calculating missile trajectories.
Hybrid computers became more common after 1960. However, as computer technology advanced rapidly (thanks to Moore’s Law), digital computers eventually became powerful enough to handle real-time simulations of high-speed dynamic systems. As a result, analog/digital hybrid computers gradually disappeared from the scene.
Simulation software has evolved over time—from machine code to higher-level programming languages like FORTRAN, Ada, and later C++ with parallel processing capabilities. Then came problem-oriented simulation languages, followed by modular concepts, object-oriented programming, and even graphical module programming.
In 1995, I was just starting college.
We studied Fortran and C in our courses.
But the first language we learned was Fortran.
It was the basic course for freshmen.
The class was pretty bad.
I remember getting a 60 at the end of the term.
Because I was just starting out in college,
The winter break was terrifying.
I was scared I’d get a re-examination notice.
Xin Gao scored 96,
I got a third-class scholarship.
I was grateful for that score.
Far away,
Pull back.
To this day, many unique simulation languages have been developed across various scientific fields. Different industries have their own dominant simulation software. As a veteran in communications, I must mention the simulation leader in our field—MATLAB. Simulink, a popular dynamic simulation tool, is just a part of MATLAB. There’s no denying that MATLAB is currently the best application software in terms of technology and usability.
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