It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? NOTE:- Matlabsolutions.com provide latest MatLab Homework Help, MatLab Assignment Help , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects...
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There are a couple of good ways to go about this, but let’s try to prove the following general statement:
Given some function, the limit of as is equal to the limit of as .
Okay, so we start off with the assumption that
for some . This means that given any , there exists some number such that for all .
We wish to show that, given any
, there exists some number such that for all .
This should be pretty easy - simply choose
. If then , and so by our initial assumption. Because we can do this for all , we have that .
From there, simply let
for your specific example, and the desired result follows.
Note that the
is crucial here. If we had tried to prove this for the general limit as , then we would have had to seek some which would work for all . The problem with this is that does *not* imply that - it implies that either or . Because our initial assumption is related only to the former case, then in general the statement is not true (unless of course we also have that ).
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