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Consider f(n) = lg(n).
What is the largest size n of the problem that can be solved in 1 second, assuming that the time required to solve the problem takes f(n) microseconds?
How to start?
 3 months ago
 3 months ago
Consider f(n) = lg(n). What is the largest size n of the problem that can be solved in 1 second, assuming that the time required to solve the problem takes f(n) microseconds? How to start?
 3 months ago
 3 months ago

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whereismymind49Best ResponseYou've already chosen the best response.0
So you want the value that will make lg(n) = 1 second or 1000000 microsecond
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
I am still not sure how to proceed..
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
say n = 10^(10^6) then u wil get f(10^(10^6)) = log(10^(10^6)) us = 10^6 us = 1s
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
so the largest size of problem that can be solved in 1s is \(10^{1000000}\)
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
10^6 us?? And why did you pick n = 10^(10^6)?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
i just guessed, u can setup an equation aswell
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
we're given : time required to solve the problem takes f(n) microseconds
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
so, if the problem size is n, then it takes f(n) microseconds
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
you need to solve the value of n, that makes f(n) = 1s
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
below eq'n : 10^6 us = log(n)
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
remember that 10^6us = 1s
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Ah! So, if it is one minute instead of one second, then it will be 60 x 10^6 us = lg(n) ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
thats it, all bigOh problems are just primitive accounting problems lol
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Accounting is way easier than this. I just can't comprehend the problem. :(
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
did u get the phrase 'size of problem' ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
okay, suppose i give u \(10\) different numbers and ask you to sort them
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
we say, the size of this problem is \(10\)
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
and lets say, u take 1 minute to solve them.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
next, suppose i give u 1000000 numbers and ask u to sort them this time u wil take more time, but how much time u wil take depends on wat algorithm u use to sovle them.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
here problem size is 1000000
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
'problem size' and 'data size' both refer to same thing.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
see if that seems plausible
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Ugh! Why is it not this: \[\frac{\lg n}{1}=\frac{1}{\lg n \times 10^{6}}\]
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Ah! Not that one.. No./Size of problem Time Given 1 lg(n) x 10^(6) Find n 1 So, we get \[\frac{1}{n} = \frac{\lg n\times 10^{6}}{1}\]
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
n = 1 is undefined i guess, cuz it wud make the time 0
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
consider the cases n > 1, and use bit common sense
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
if a thing is done in 1us, and we're given the relation that f(n) = log(n) give time for doing n things, finding how many things we can do in 1s should be a highschool grade problem. i dont see any point in you pondering over it :
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
" required to solve the problem takes f(n) microseconds" Isn't it lg(n) us instead of 1 us?
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Also, if 1 thing is done in lg(n) us, and n things done in 1s, then we can set the equation \[\frac{1}{\lg (n) \times 10^{6}}=\frac{n}{1}\]Right? Wrong?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
oops sorry, looks i was sounding bit offensive earlier
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
10^6 us = log(n) whats the problem wid this equation ?
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
I don't understand how you get this equation, and I don't understand why mine is not correct.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
same is the case wid me, gimme a sec to digest ur equation
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
wid ur equaiton, wats the largest size you're getting ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
we may plug that number in reverse and see if it works or not
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
Getting something weird with my equation. \[\frac{1}{\lg (n) \times 10^{6}}=\frac{n}{1}\]\[n\lg (n) \times 10^{6}=1\]\[\lg (n^n) =10^6\]\[n^n=10^{10^6}\] Don't know how to solve this thing..
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
humm ok, ima have dinner... wil get back and have a look at this again :)
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
read it like below : Also, if \(\color{red}{n}\) things are done in lg(n) us, then find how many things can be done in 1s
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
\[\frac{n}{\lg n \times 10^{6}} = \frac{N}{1}\] N = Number of things done in one second.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
still stuck on this ha ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
okay, i tried but im not getting ur equation, wat u trying to do wid that equation can u explain ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
we're given n things take log(n) micro seconds, and asked to find out how many things we can do in in 1 second so we simply sovle the equation log(n) = 10^6us
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
that gives the 'n' value corresponding to 10^6 us
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
It's like, you need 4 dollars to buy a bar of chocolate, how many bars of chocolate you can buy when you have 120 dollars? We can have \[\frac{1}{4}=\frac{n}{120}\]
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
thats right, wat if it takes log(n) dollars to buy n chocolates ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
and you're asked to find how many u can buy wid a million dollars money ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
the price per chocolate is not fixed here, clearly it depends on how many u buy
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
\[\frac{n}{\log n}=\frac{N}{1,000,000}\]?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
its not a linear scaling, i dont think you can do it that way
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
first tell me this, are u convinced 10^(10^6) is the largest problem size yet ?
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
How do you know if it is the largest?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
plugin that number in the given function
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
It works, but that does not guarantee there is no other (larger) solution, does it?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
add 1 to that that, and plugin, wat do u get ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
u will get 1s + for any value larger than 10^(10^6) cuz log(n) is a strictly increasing function
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
but u want to complete job within 1s, so..
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
the question is begging us to solve f(n) = log(n) = 10^6 no more than that.
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
if it helps seeing this, let me plot the time Vs problemsize graph quick
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
dw:1389594869323:dw
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
dw:1389594972424:dw
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
time to complete the job, depends on teh size of job
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
so ive put time in yaxis and size in xaxis. see if that makes more/less sense
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
It makes more sense :) Let say, if f(n) = n, will the graph then be dw:1389595232578:dw
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
yup, if its linear then we can use ur proportion :)
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
however most algorithms we deal with are exponential/logarthmic/polynomial there will be very few that scale linearly
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
How... do... you... know.... it ... is related to algorithms?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
here, f(n) = log(n) represents how time scales as size increases for doing a 'particular job' using a 'particular algorithm'
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
I should have reworded the question in a better way :\ So, give a function f(n) and time t seconds, we have f(n) = t x 10^6 Can I generalize the solution to this problem in this way?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
given : t = log(n) the inverse wud be :n = 10^t
 3 months ago

RolyPolyBest ResponseYou've already chosen the best response.0
The question can be generalized in this way: Consider f(n). What is the largest size n of the problem that can be solved in t seconds, assuming that the time required to solve the problem takes f(n) microseconds? And is the general solution/equation f(n) = t x 10^6 ?
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
general solution is to take inverse of time function
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
for our original probel : given : t = log(n) the general solution (inverse )wud be :n = 10^t units are in microseconds
 3 months ago

ganeshie8Best ResponseYou've already chosen the best response.1
this may enhance ur understanding on complexity analysis http://pages.cs.wisc.edu/~vernon/cs367/notes/3.COMPLEXITY.html
 3 months ago
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