Computational Physics an introductory course by Richard Fitzpatrick pdf

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Computational Physics an introductory course by Richard Fitzpatrick pdf free download

Computational Physics an introductory course by Richard Fitzpatrick pdf free download. Firstly, we could use a mathematical software package, such as MATHEMATICAL software such as MAPLE or MATLAB. The main advantage of these packages is that they facilitate the very rapid coding up of numerical problems. The main disadvantage is that they produce executable code which is interpreted, rather than compiled.

Computational Physics an introductory course by Richard Fitzpatrick pdf free download

Compiled code is translated directly from a high-level language into machine code instructions, which, by definition, are platform dependent—after all, an Intel x86 chip has a completely different instruction set to a Power-PC chip. Interpreted code is translated from a high-level language into a set of meta-code instructions which are platform independent. Each meta-code instruction is then translated into a fixed set of machine code instructions which is peculiar to the particular hardware platform on which the code is being run.

Computational Physics an introductory course by Richard Fitzpatrick pdf free download

In general, interpreted code is nowhere near as efficient, in terms of computer resource utilization, as compiled code: i.e., interpreted code run a lot slower than equivalent compiled code. Thus, although MATHEMATICA, MAPLE, and MATLAB are ideal environments in which to perform relatively small calculations, they are not suitable for full-blown research projects, since the code which they produce generally runs far too slowly.

Computational Physics an introductory course by Richard Fitzpatrick pdf free download

Computational Physics an introductory course by Richard Fitzpatrick pdf free download

Computational Physics an introductory course by Richard Fitzpatrick pdf free download

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