Questions tagged [algorithm-analysis]
Analyzing an algorithm to determine its time and space performance.
112 questions
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How to choose between brute force and efficient solution that has overhead?
Using Big O notation, it is clear that I should go with the more efficient approach, but I know that there is a significant cost in terms of initialization for more efficient solutions.
The Problem:
...
- 111
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3
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What is beyond ordinary c++, when trying to optimize a function?
Backstory:
Writing a QImage to Sixel renderer.
Feel like I have optimized it the best I can using basic c++.
I have heard suggestions here or there that you can utilize things like GPU, SIMD, insert ...
- 3,649
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Why is big O notation an asymptotic notation/analysis?
An asymptote in mathematics represents a value (line) to which the observed function constantly approaches. In other words, as the value of X increases towards infinity, i.e. decreases towards minus ...
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Using a different algorithm depending on the size of the input
I recently finished a course on advanced algorithms, and another on complexity & computability theory, and in the past few days my mind has been somewhat preoccupied by this question.
Why don't we ...
- 345
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1
answer
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Algorithms: How do I sum O(n) and O(mlog(n)) together?
I'm doing a running time analysis using the aggregate method and I'm a bit confused about what would be the result in this case. I have some intuition in inferring that it would be O(mlog(n)) but I'm ...
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Algorithms: How do I sum O(n) and O(nlog(n)) together?
I have the follow algorithm which finds duplicates and removes them:
public static int numDuplicatesB(int[] arr) {
Sort.mergesort(arr);
int numDups = 0;
for (int i = 1; i < arr.length; ...
23
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When speaking, how can I say that the time complexity order of an algorithm is O(N log N)?
What term can I use to describe something with O(N log N) complexity?
For example:
O(1): Constant
O(log N): Logarithmic
O(N): Linear
O(N log N): ??????
O(N2): Quadratic
O(N3): Cubic
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How can I mix this grid to guarantee it being solvable in X minimum steps?
Note: This question is not about this particular instance of this grid with these exact words, but about any combination of words.
I am programming a puzzle game where you have to arrange a grid of ...
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8
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Why is binary search,which needs sorted data, considered better than linear search?
I have always heard that linear search is a naive approach and binary search is better than it in performance due to better asymptotic complexity. But I never understood why is it better than linear ...
- 3,044
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Some questions about shortest-path algorithms
I'm trying to understand why anyone would prefer Floyd-Warshal over Dijkstra:
Dijkstra gives a correct result, using an understandable system, combined with backtracking.
Floyd-Warshal makes an ...
- 1,844
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Calculating time complexity of a code snippet
I am trying to calculate the time complexity of the below code snippet
def func()
{
for(i=1; i<=n; i++)
{
for(j=1; j<=n; j=j+i)
{
print("hello")
}
}...
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5
answers
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Divide and Conquer algorithms – Why not split in more parts than two?
In divide and conquer algorithms such as quicksort and mergesort, the input is usually (at least in introductory texts) split in two, and the two smaller data sets are then dealt with recursively. It ...
- 1,012
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2
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fastest way to find number of smaller elements to the right of an array
In Daily Coding Problem, Miller&Wu have the following problem :
Given an array of integers, return a new array where each element in the new array is number of smaller elements to the right of ...
- 181
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4
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Processing a 2D matrix - need to speed up my O(n^4) algorithm
I have an n x n matrix which I need to convert into a list sorted by value. Starting with the maximum value cell at (row x1, col y1), I must immediately exclude all cells where (x >= x1, y <= y1)...
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votes
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Why the names Omega and Theta in Big Omega and Big Theta?
There was a question asking what the "O" stands for in "Big O", the answer to which seems to be "Ordnung von"/"order of".
I wonder what's the origin of the ...
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