Questions tagged [big-o]

The Big-O notation is used to represent asymptotic upper bounds. It describes relevant time or space complexity of algorithms. Big-O analysis provides a coarse and simplified estimate of a problem difficulty.

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O(nlogn) + O(logn) =? [duplicate]

So I came upon this time complexity result and I was confused about it, it said that : O(nlogn) + O(logn) =O(log(n+1)) Why is that the case? Shouldn't the result be O(nlogn)?
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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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Big O notation of a program that takes 10x time for 3n input

I have a program that calculates N digits of Pi. I have measured that it takes 10x time to calculate 3n numbers, compared with the time for calculating n numbers. The source code also gives an ...
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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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Running time for simple for loops - Big O notation

I am currently doing some exercises with algorithms and I find myself in a huge problem. It seems that everybody understands this type of problem but I have a really hard time figuring it out. For ...
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Is looping an array to compare to itself considered O(n^2)? [duplicate]

Often when I'm doing an operation comparing an array to itself, I write code along these lines: function operation (array) { for (let i = 0; i < array.length; i++) { for (let j = i + 1; j <...
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What is the worst case Time Complexity for only the Divide Portion of the Merge Sort Algorithm?

Please, consider the below merge sort algorithm. Here we start with a divide portion which splits the array into halves and we do recursive operation on each half separately. I have ignored the merge ...
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Are there any programs or IDEs that calculate Big-O notation on functions? Is this something that is possible to program into an IDE?

Is there anything that can calculate the Big-O notation of a function? While learning about Big-O, it is implied that it is pretty trivial to do in your head once you know the basic rules, however if ...
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Why is the worst case for this function O(n^2)?

I'm trying to teach myself how to calculate BigO notation for an arbitrary function. I found this function in a textbook. The book asserts that the function is O(n2). It gives an explanation as to why ...
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Big-O Notation and Calculus [closed]

I was wondering if there are any calculus relationships implicit in Big-O notation. For example, an algorithm linear according to Big-O notation reduces the size of the problem by a constant amount ...
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What is the O of this operation?

Say for a given positive integer number n, you have to find a level k so that 1 + 2 + 3 + ... + k = S is below or equals n but S + k + 1 is above n. For example in python: def find_level(n): ...
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Is the complexity of this code quasilinear time?

Algorithm explanation: based on an unsorted list I want to find the indexes of the values in another sorted list. Note that all values are unique and the two lists have the same values, only in ...
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How should I document a method's computational complexity in the code?

I am currently working on a project that has very little documentation overall. The team is working to change that. I am doing my part, by adding xml comments to the methods I make and the ones I edit,...
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Big O Complexity when iterating in 3 dimensions

What time complexity would you classify the following as having? int n = 100; for(int x = 0; x < n; x++) for(int y = 0; y < n; y++) for(int z = 0; z < n; z++) DoWork(...
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Questions around calculation of time complexity of an algorithm [duplicate]

I am a newbie to algorithms. One thing that i always get confused is about calculation of algorithm runtimes. For example: The following piece of code in Python for i in range(n): #O(?) i*=k ...
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What is the complexity of find and checking prime numbers?

I'm trying to figure out the complexities of these two functions that I've written but could not understand.def First, I thought it is supposed be O(N). But it is not clear how many times the loop ...
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Generating O(N^2) without loops [closed]

I understand you can generate an O(N^2) algorithm by using loops: eg: for (int i = 0; i < N; i++) { for (int j = 0; j < N; j++) { //do something N^2 times. } } Is it ...
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Is my reasoning to determine this algorithm's Big-O correct?

Take the following algorithm with two separate sections, and the sections do not influence each other whatsoever (the function is not recursive, as well). void algorithm(int x) { // This section ...
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What is meant with finding real and integer constants in Big Oh notation?

From my book "Data Structures & Algorithms in Java: Sixth Edition" the definition of Big Oh is the following: Let f(n) and g(n) be functions mapping positive integers to positive real numbers....
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Am I allowed to simplify terms while calculating Big O?

I want to calculate the runtime of the following function T(n) = (1+2+3+4+5+...+n)/n At first this doesnt seemed hard to me because it can be solved easily by transforming the formula T(n) = (n(n-1)...
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19 votes
6 answers
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What do you call it when you change the Big O execution time of a function [closed]

Let's say I have a function which sorts a database in O(n^2) time. I want to go about refactoring it so it runs in O(n log(n)) time, and in doing so I will change the fundamental way the operation ...
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Big-O when worst case numerical value is known

If I have an algorithm and part of it has a known worst case numerical value, which is reasonably small compared to the rest of the problem, is it ok to argue that part as O(1)? E.g. If part of the ...
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randomly filling in empty spaces in a matrix - O(N) amortized time?

Here are two ways to answer the following question. I'm trying to confirm what I believe their time complexity to be: If I had a snake game with a x,y matrix of spaces, some of which were occupied ...
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1 answer
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What's the needed math for building algorithms? [closed]

What's the needed math for building algorithms? Because I was reading a book and I can't understand much. It says I need simple math from high school. I don't want to learn all the math that exist ...
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Can "sub-linear" still be a straight line?

I'm working on a problem that requires a "sub-linear" solution. A quick search for sub-linear will return a lot of this... ... where the sub-linear line is modelled as logarithmic/asymptotic. But I ...
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Calculating Complexity

I am having trouble calculating the complexity of this problem: REVERSE3(A): // Reverse the order of elements in an array // P is an array; assume generating next permutation takes 1 step. for ...
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2 votes
6 answers
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Does the workload problem belong to a class of computer science problem?

I went for an interview, and got a workload problem: Problem: write a function to tell whether a series of workloads will exceed the maximum workload or not Input: MaxWorkLoad: example 10 ...
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What does time complexity of n log n signify? [duplicate]

Is it the number of iterations or recursive calls made? Or is it the number of times the conditional check has been applied? Ex: if there are 10 elements in an array in descending order. The time ...
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2 votes
1 answer
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Help with Big-O notation complexity [duplicate]

How do I find the O - notation complexity for the following? int sum = 0; for (int i = 1; i <= n*2; i++ ) sum++; I read the guide on Big - O and other posts on Big -O complexity, but I'm ...
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What programming environments can be used to illustrate and benchmark the unoptimized space complexity of an algorithm?

What programming language along with implementation and compiler can I use to study the pure, unoptimized space complexity of an arbitrary algorithm? And what methods can I use to do so? For example,...
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Big-Oh notation of a stackarray

I am studying data structures and I have hit a bit of a road block. The top is Big oh notation and it is simply confusing. While I can find the upper bound for the simplest of loops, when it comes to ...
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omega why K + N better than N

I was reviewing the big O cheatsheet at http://bigocheatsheet.com/ and ran into some listings under sort that I do not understand. Runtimes are color coded, green being better than yellow. There are ...
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-1 votes
3 answers
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Time complexity of an algorithm [closed]

What is the complexity of the following loop? for(i=1;i<n;i=2^i) sum+=i;
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1 answer
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Big-O notation and halting problems

I'm trying to understand why it's impossible to create a tool that calculates Big-O notation automatically. I have read about Halting problems, but not related on Big-O notation and I was wondering, ...
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Time complexity Computation

What will be the result of the time complexity of this piece of code i.e. int sum(int A[], int n) { int sum = 0, i; for(i = 0; i < n; i++) { sum = sum + A[i]; } ...
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4 votes
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Efficient way to calculate how many items to destroy if each has a 70% chance to be destroyed

We start with a variable that holds an integer for the "number of items" that we have somewhere, somehow. Then, the algorithm is applied: each one of those items have a 70% chance to be destroyed. ...
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1 vote
1 answer
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Should I use this very short Python Quicksort implementation?

def quicksort(N): if len(N) < 2: return N else: less = quicksort([number for number in N[1:] if number < N[0]]) more = quicksort([number for number in N[1:] if ...
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4 votes
3 answers
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Finding longest subsequence with sum less than or equal to a fixed number

I was trying to solve Problem 279-B. Given an natural number, t, and an array, a[0],...,a[n-1], of natural numbers, find the maximum length of a continuous subarray, a[i],...,a[j] in a where a[i]+.....
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Understanding θ(f(n)) as defined in the Structure and Interpretation of Computer Programs

I'm having trouble understanding a small passage in The Structure and Interpretation of Computer Programs, and I'm hoping someone can help me interpret it. In the book's introduction to Orders of ...
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O(n^2 * 2^(log n)) == O(n^2)

Is O(n^2 * 2^(log n)) == O(n^2) ? Why I think that this could be the case: In big O, you only take the parts of the term that are most relevant, right? O(n^2 + 3n + 9) == O(n^2). The n^2 has a lot ...
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Does algorithm time complexity O(5) considered as O(1)? [duplicate]

I have someone homework to make and in the instructions it says that we need to implement a function in O(1). Now, does it mean that I can make my function in O(5) or O(2) or whatever?
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1 vote
2 answers
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Binary Search O(log(n)) or O(n)

I see where most readings online derive that the Big-Oh notation of a Binary Search is O(log(n)), but doesn't this assume a balanced tree? What if the tree is completely unbalanced (i.e. similar to a ...
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How to calculate big O notation according to number width?

I'm trying to understand big O with the bitwise operations. I have 2 functions those are solving the same question from different perspective. num1BitsSecondSolution starts to shift the number right ...
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2 answers
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What is Big O of sqrt(1) + sqrt(2) + ... + sqrt(n)? [duplicate]

Given for example this code: for(int i=1;i<n;i++) for(int j=1; j < sqrt(i); j++) foo(); //foo takes constant time can someone explain to me how to calculate the ...
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What is Big-O notation for purely functional languages?

Is it still relevant? Instead of var result = new List<int>(); for (var i = 0; i < prev.Count; ++i) { result.Add(prev[i] * 2); } where the result.Add, prev[i], and * 2 instructions are ...
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-6 votes
1 answer
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BST to AVL in O(n) [closed]

I found in different places on the internet how to turn a Binary Search Tree into an AVL tree in O(nlog(n)). I was wondering how can this be done in O(n) (as the worst case limit). It kinda seems ...
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Complexity of recursive calls

my brain is a little stuck as I am trying to compile an example for my blog. I am presenting an algorithm that draws a number from an array, adds it to a sum and calls itself recursively. func solve(...
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Expressing complexity based on length of key

I've made a data structure that has insert, search, and delete functions that are base on the number of characters in the key. As an example if it's a number based key (base10), then the complexity ...
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4 votes
1 answer
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How does cuckoo hashing guarantee O(1) lookups in presence of persistent hash collisions

Most hash table implementations guarantee O(1) average case but O(n) maximum case for lookup (where 'n' is the number of keys in the table). But Cuckoo Hashing is described as O(1) maximum. ...
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14 votes
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Time complexity of 2^sqrt(n)

I am solving an algorithm question and my analysis is that it would run on O(2^sqrt(n)). How big is that? Does it equate to O(2^n)? Is it still non-polynomial time?
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