Big O Notation confusion for bubble sorting algorithm
it should still fix some issue There is a lot to unpack here! I'll start
with some background information.Firstly, big O notation is for asymptotic
behavior. In this case that means that the algorithm will run no worse than
a constant (positive) numb
Date : September 23 2020, 12:00 PM , By : qwazwsx
Time Complexity of this nested for-loop algorithm?
seems to work fine Let's note n the length of the array.If you consider the
second loop alone, it is just a function f(i), and since it will iterate on
all elements from i to 1, its complexity will be O(i). Since you know that
j
Date : September 23 2020, 07:00 AM , By : sonam
Does Big O notation apply to a while(true) loop?
this one helps. Big O notation is a tool we can use for analysing
algorithms. The way we apply it is by counting the number of steps that the
algorithm takes to execute, expressing this number of steps as a function
of the input size n, and simplifyi
Date : September 22 2020, 03:00 AM , By : Anonymous
Algorithmic puzzle: Ball Stacking Problem
this will help This is DP, but we're going sideways instead of top-down.
Let's tilt the ball stack a little to the left, so we can look at the whole
stack as a sequence of columns.
Date : September 21 2020, 04:00 PM , By : DMorg
algorithm to solve the replacement paths problem for specific situations
it fixes the issue a) Consider the shortest path P between vertices s and
t. Since P is a shortest path, there is no edge between any two vertices u
and v in P in which the length of shortest path between u and v is bigger
than 1 in the induced graph
Date : September 21 2020, 04:00 PM , By : Haoyang Wang
Find Minimum Time to Occupy Grid
hop of those help? I will not present a detailed solution here, but some
thoughts that hopefully may help you to write your own program. First step
is to determine the kind of algorithm to implement. The optimal way would
be to find a simple and fast
Date : September 21 2020, 02:00 PM , By : Javine.Kl
Sorting an array using a boolean array
Any of those help No, it's not possible. Let's prove it by contradiction
Fact: In general case, having A array of arbitrary integers (arbitrary in
order to make radix sort impossible) we can't sort it faster than O(N *
log(N)).
Date : September 21 2020, 02:00 AM , By : Cheol
Real-time peak detection in noisy sinusoidal time-series
To fix the issue you can do Case 1: sinusoid without noise If your sinusoid
does not contain any noise, you can use a very classic signal processing
technique: taking the first derivative and detecting when it is equal to
zero.
Date : September 20 2020, 02:00 AM , By : ton
Find number of nodes of a graph that cover k edges
will be helpful for those in need As for k = |E|, the problem will be a
minimum vertex cover problem and is NP-Complete, you can't find any
polynomial solution for the general case of k and general graph G(V,E).
Date : September 19 2020, 04:00 PM , By : Jayendra Singh Chouh
Time complexity when halving loop counter twice
I think the issue was by ths following , You are forgetting the base. In
the first case, we assume the base is 2, so we just write the complexity as
O(logn).In the second case, the base should be 4 because the we are
multiplying by 4 so it should be
Date : September 19 2020, 04:00 PM , By : Marco Vinicius
Why do we store only two or three killer moves per depth?
fixed the issue. Will look into that further Because you try to store
possible future moves. Therefore you need to store all possible moves for
the future. Assuming you have 32 chess pieces and every piece has 4
possible moves it can do you would nee
Date : September 17 2020, 03:00 PM , By : Pranav Sethi
Simplifying using Big Theta expression
will help you Yes. But, the result is wrong! It should be \Theta(3^n), as
3^n is an exponential function and grows faster than a polynomial function
such as n^{5000}. Also, you can think about the limit of the given function
over 3^n when n goes to i
Date : September 16 2020, 08:00 AM , By : Shubhadeep
Is the time complexity of this loop O(n*log(n))?
Hope this helps For the first snippet, the inner loop runs log(1) + log(2)
+ ... + log(n) times, which is the same as log(1 * 2 * ... * n) = log(n!)
which through Sterling's Approximation is n log(n). Your second snippet has
the same complexity. Even
Date : September 16 2020, 01:00 AM , By : Dan Doca
minimum cost to reach destination through tunnels
like below fixes the issue The problem needs to be transposed into a graph
with a weight given to each vertex. Once we have done that, we can use the
Dijkstra algorithm to find the shortest path. Solving the problem thus
boils down to transposing the
Date : September 07 2020, 05:00 PM , By : Pratik sakariya
Recursion in a Tree-like Structure
I wish this helpful for you Your current approach looks mostly okay. But
because you're doing a depth first search the main issue you have is that
there's nothing preventing you from getting stuck trying an infinitely long
paths like [(1,1);(1,2);(1,
Date : September 03 2020, 10:00 PM , By : Mahmood Javaid
Minimum cost path from (0,0) to (N,N) on 2D grid
will help you Let's notice that we can count distance from point A to point
B in const time abs(a.x - b.x) + abs(a.y - b.y). We can sort all points by
its coordination. After we would to run something like dp -> dist for point
x will be the minimum d
Date : August 31 2020, 01:00 AM , By : Caille Thommes