The development of simulation and current status

Only the middle-aged and elderly would write this with a teary nose. I graduated from college in the last century, back when I was learning FORTRAN and C. These high-level programming languages required strict formatting, which I found quite tedious. It wasn't until I encountered MATLAB that I truly developed an interest in simulation and began my journey into research and development.

I won't go into my personal experience right away—let me get straight to the topic.

The development of simulation has always been closely tied to the progress of computer technology.

Analog computers emerged in the 1940s, when most computers were specialized machines used for aircraft design. These early systems were primarily for calculations, and simulation had little to do with them. By the early 1950s, general-purpose analog computers began to appear.

I’ve never actually seen one myself.

By the late 1950s, digital computers had made significant progress. At the same time, the theory of numerical solutions for differential equations also advanced. This led to the creation of high-level programming languages like FORTRAN, which became widely used. Back then, I was just a student, and I remember feeling like an old man already by the end of the last century.

In 1958, in response to the need for high-speed dynamic system simulation, the first hybrid analog/digital computer was introduced. It was used to calculate missile trajectories.

Hybrid computers became more common after 1960. However, as computer technology advanced rapidly—following Moore's Law—digital computers eventually became powerful enough to handle real-time simulations of complex systems. As a result, analog/digital hybrid computers gradually faded out.

Simulation software evolved from machine code to higher-level languages like FORTRAN, Ada, and later C++, which supported parallel processing. Then came problem-oriented simulation languages, followed by modular and object-oriented programming, and finally graphical-based tools.

In 1995, I just started college. We learned Fortran and C, but the first thing we studied was Fortran. It was part of the basic curriculum for freshmen.

That class was not very good. I remember getting 60 points at the end of the term.

Because I was still a freshman, the winter break felt terrifying.

I was afraid I might get a re-examination notice.

Xin Gao scored 96, and I got a third-class scholarship.

I was grateful for even that high score.

Far away, pull back.

Today, many unique simulation languages have emerged in science and technology. Each industry has its 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 one of its add-ons. There's no denying that MATLAB is currently the best technology application software available.

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