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And indeed particularly in chemistry and engineering it’s often been in the background, justifying all the computations routinely done using entropy. There’s lots of rhetoric: The applicability of the calculus of probabilities to a particular case can of course never be proved with precision.
Chemistry / Molecular Biology. In thinking about chemistry we can make a much more concrete multicomputational model: the tokens are actual individual molecules (represented say in terms of bonds) and the events are reactions between them. (As Perhaps not for chemistry as it’s done today. Does this matter, though?
Chemistry / Molecular Biology. In thinking about chemistry we can make a much more concrete multicomputational model: the tokens are actual individual molecules (represented say in terms of bonds) and the events are reactions between them. (As Perhaps not for chemistry as it’s done today. Does this matter, though?
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When you do operations on Around numbers the “errors” are combined using a certain calculus of errors that’s effectively based on Gaussian distributions—and the results you get are always in some sense statistical. Also in the area of calculus we’ve added various conveniences to the handling of differential equations. In Version 13.0
Needless to say, you can do this computationally—though the “calculus” of what’s been defined so far in Unicode is fairly bizarre: ✕. And in addition to adding a great deal of flexibility, this also means that the toolbar immediately works on all platforms. (By Fractional Calculus. . ✕. ✕.
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