jhosamelly said:We need to think of a machine problem which we are going to simulate and solve using fortran programming. Can someone please give me an idea on what machine problem to do? Something easy please coz I don't really have much idea about programming. I only know the basics. Thanks :)
jhosamelly said:We need to think of a machine problem which we are going to simulate and solve using fortran programming. Can someone please give me an idea on what machine problem to do? Something easy please coz I don't really have much idea about programming. I only know the basics. Thanks :)
jhosamelly said:A problem which we can solve using the numerical methods we've studied. (Derivatives, Integrations, Interpolations.. etc) We will make a program for that problem.
jhosamelly said:Well, what I'm saying is this. We need to make a machine-language programming problem. We will also solve this problem using fortran.
Something like this https://wiki.engr.illinois.edu/display/ece190sp12/Machine+Problem+1 but more on the topics in Physics.
Computational Physics Machine Problem is a branch of physics that uses computational methods and techniques to solve complex problems in physics. It combines the principles of physics with computer science and mathematics to develop algorithms and simulations to model physical systems and phenomena.
The main applications of Computational Physics Machine Problem include studying and predicting the behavior of complex physical systems, analyzing experimental data, simulating natural phenomena, and developing new technologies and materials.
Using Computational Physics Machine Problem allows for more accurate and efficient calculations, the ability to model and analyze complex systems that are difficult or impossible to study in the real world, and the potential to discover new insights and solutions in physics.
Some common tools and techniques used in Computational Physics Machine Problem include numerical methods, programming languages such as Python and C++, computational software packages like MATLAB and Mathematica, and high-performance computing systems.
Some limitations and challenges in Computational Physics Machine Problem include the need for specialized knowledge and skills in both physics and computer science, the potential for errors and inaccuracies in simulations, and the high computational costs and time required for complex problems.