Questions tagged [runtime-analysis]

Questions about methods for estimating the increase in runtime of an algorithm as the input size increases.

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Which function grows faster: N Log N or N^(1+ε/√(log N)) [duplicate]

How would you go about solving this problem? I thought about using a limit infinity approach, but got confused and Wolfram Alpha didn't provide any explanation.
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Understanding $O(2^n)$ time complexity due to recursive functions

Consider the following binary recursive fibonassi program: ...
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158 views

Complexity of cyclic sort

I have this algorithm ("cyclic sort") to sort an array which contains unique numbers from 1 to $n$: ...
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1answer
51 views

How memory controller reads from RAM with O(1) time complexity?

I am trying to understand how a RAM memory controller gets data with instant access while reading through the memory. Let's say initially, ram gets the data at address 0 and then to get the data at ...
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15 views

Simulating Boolean Circuit with RAM

Statement: Every $T(n)$ size bounded Boolean circuit family, could be simulated with $(T(n))^2$ time bounded Random Access Turing Machine (RAM). Could you please supply me with a reference to an ...
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Ideal time complexity in analysis of distributed protocol

I need some explanation about the definition of ideal time complexity. My textbook says: The ideal execution delay or ideal time complexity, T: the execution delay experienced under the ...
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1answer
20 views

Smoothed analysis of the Partition problem

I am studying smoothed analysis and trying to apply it to the Partition decision problem: given $n$ real numbers with a sum of $2 S$, decide whether there exists a subset with a sum of exactly $S$. ...
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1answer
39 views

Why is $T(n)=3T(n/4) + n\log n$ solvable with Master Method but $T(n)=2T(n/2) + n\log n$ is not?

I am having difficulties in understanding why the recurrence $$T(n)=3T(n/4) + n\log n$$ is solvable with Master Method but $$T(n)=2T(n/2) + n\log n$$ isn't? Despite they both look very similar ...
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35 views

In Big-O notation, what does it mean for T(n) to be upper bounded by something

I do not have much experience in mathematics but I would really like to grasp Big-O notation on its mathematical level. I already read What does the "big O complexity" of a function mean? ...
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1answer
48 views

Worst case runtime for binary search

The run time of binary search is O(log(n)). log(8) = 3 It takes 3 comparisons to decide if an array of 8 elements contains a given element. It takes 4 comparisons in the example below. python2.7 <...
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38 views

Is it possible to determine if 2 arrays contain the same elements (ignoring duplicates) in faster than O(n log n) time?

So given 2 arrays of equal length, is it possible to determine whether the 2 arrays contain the same elements (ignoring duplicates and where those elements have a total order relation) with time ...
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27 views

runtime to a BFS flood-fill with multiple centres?

If we have a flood fill algorithm which, given a number of centres reprenting pixels on an image, runs a BFS flood-fill on them, checking the pixels 4 neighbours, changing their colours and adding ...
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42 views

Upper bound for runtime complexity of LOOP programs

Recently I learned about LOOP programs, which always terminate and have the same computational power as primitive recursive functions. Furthermore primitve recursive functions can (as far as I ...
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Time Complexity for Nearest Neighbor Searches in kd-trees

Nearest neighbor searches in kd-trees run in logarithmic time, as shown by Friedman et al. However, I have some difficulty to fully understand the proof. In order to calculate the average number of ...
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29 views

sequence of insert and delete operation in (2,3)-tree

I need help by understanding a theorem and its proof from a script. It says "There is a sequence of $n$ insert and delete operations in a (2,3)-tree that require $\Omega ($n log n$)$ many split and ...
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1answer
17 views

Determining whether a change in an memoized algorithm will improve the performance

I have an algorithm that constructs an optimal binary tree using dynamic programming. After introducing what I thought would be an optimization, the algorithm became over 2 times slover. Question: Is ...
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1answer
38 views

Is log(n) equivalent to (log(n))^x for big-O analysis?

My professor noted that we could treat any logarithmic function with an exponent as equivalent to log(n) for the purposes of big-O analysis. ie. $(n log(n) + 1)^2 + (log(n) + 1)(n^2 + 1)$ From the ...
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52 views

Time Complexity of the below code? [duplicate]

here is a nested loop where all the variable are integers.This is another question to the thread. I understood the solution part , but stuck in the time-complexity part. What is the time complexity ...
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61 views

How to mathematically prove that a relation T(n)=T($\sqrt{n}$)+c is O(log(log(n))?

following question, I understood the intuition behind how cutting down the size of input by square root on each iteration leads to O(log(log(n))) complexity. I tried to derive it on paper. Let T(n) =...
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41 views

Time complexity of finding a node with no incoming edges in a DAG: O(n) or O(m+n)

I'm reading Algorithm Design by Jon Kleinberg. In section 3.6, in order to compute the topological ordering of a DAG, one first finds a root node in this DAG, then deletes it from the DAG. The author ...
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1answer
27 views

Given a set of sets, find the magnitude (number of elements) of the smallest set containing at least one element from each set

I know that the hitting problem is NP hard, but is it possible to find the magnitude of the smallest set? Also, provide the runtime.
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Necessary conditions for proving If f(n) = O(g(n)), then is log(f(n)) = O(log(g(n)))

I am learning about algorithmic complexities and I read that if f(n) and g(n) are asymptotically positive functions and if $f(n) =O(g(n))$ then the relationship $log(f(n)) = O(log(g(n)))$ holds. I ...
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time complexity of 2 sum problem using binary search

this is a popular searching problem and the question is : Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number. The ...
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1answer
39 views

Do problems that have unary encodings automatically become unary languages?

This problem has confused me a lot, can any of you help me out. Thank you.
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Why does this triple loop code have a running time of 1.5lnN * N^2

Hi all, I'm currently going through the Princeton Algorithms course on coursera, and I'm having trouble understanding the answer to this quiz. I think I understand where the $\frac{1}{2} N^2$ term ...
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33 views

number of comparisons in searching algorithms

i was going thorugh different searching algorithms,Linear,binary and ternary search.Now i want to know the number of comparisons in these. For linear search : ...
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1answer
46 views

Derive a while loop (which seemingly have some logarithmic traits) runs in $\Theta(n)$

I know for a fact that algorithm A runs in $\Theta(n)$, but how does one derive that? Algorithm A ...
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92 views

Derive a while loop runs in $\Theta( \sqrt{n} )$

I know for a fact that algorithm A runs in $\Theta(\sqrt{n})$, but how does one derive that fact? Algorithm A i = 0 s = 0 while s <= n: s += i i += 1 ...
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1answer
67 views

Running time of algorithm (effect of j*j in for loops) - Theta Runtime

In Theta notation what are the running times of these algorithms? Algorithm 1 for i=1..n j=1 while j*j <= i: j = j + 1 Since the outer loop ...
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1answer
152 views

Why in BFPRT (median of medians) algorithm the partition of the array by $7$ blocks would work but with the $3$ fail?

I am working with the median-median algorithm or BFPRT algorithm and I seek to understand why would the partition of the array by $7$ blocks would work but with the $3$ fail? If we divide into ...
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159 views

How to prove that ($56n^2+106n+48)(\log(264n^2+200)) = Θ(𝑛^2\log n)$

I understand that essentially we have to prove that $$c_1(n^2\log n)\le (56n^2+106n+48)(\log(264n^2+200)) \le c_2(n^2\log n)\,.$$ I am confused on how to simplify this further? And ...
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1answer
28 views

Runtime-Analysis for single loop incremented by a factor of 3

So, I'm trying to understand how to get the run time of this loop: for(int i = 1; i < n*n*n; i*=3) {...} So, far I know: loop starts at 1 finishes when $i &...
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1answer
33 views

Maximum-cardinality matching in unbalanced bipartite graphs

Let $G = (X+Y, E)$ be a bipartite graph, and suppose we want to find a maximum-cardinality matching in $G$. The Hopcroft-Karp algorithm runs in time $O(|E|\sqrt{|V|})$, where here $|V| = |X|+|Y|$. So ...
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25 views

Time complexity of simple function related to bits

I am wondering about correct answer to this task from a yesterday's test: A function Pow which calculates $y = a^k$ is given, where $k$ is an integer of length ...
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1answer
49 views

What time complexity is more significant? [closed]

A certain algorithm executes $n$ operations of three types: insert, delete, and find. We know that $n/10$ of the operations are inserts, and the rest are deletes and finds. You are given two ...
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27 views

Complexity Class of an Algorithm with two Inputs

Consider a problem with two inputs like (P,L) and |P|=n and L is some positive integer. If my algorithm had a complexity of O(n^L), would that still be polynomial? Or is it exponential? I'm not sure ...
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Proof of the average case of the Heap Sort algorithm

Consider the following python implementation of the Heap Sort algorithm: ...
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1answer
63 views

Analyzing time complexity of solution in tutorial

Could someone explain time complexity of solution of in this tutorial? I'm having hard time figuring out, how asymptotic bounds for first solution is $O(3^k k)$. What I figured so far is, for ...
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How many inputs N can be placed into a function ln to get a certain amount of time?

it's "gardening" time, which means studying algorithms. A question in Intro to Algorithms 3rd Edition is a chart asking me how many of N inputs can be placed into a function to get a certain amount of ...
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63 views

runtime of 2 dependent nested for loops [duplicate]

for (i=1; i<=n ;i=i*2){ for (j=1; j<=i ;j++){ basic_step; } } Regarding the above nested loops, I can't seem to understand why is the following ...
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Is there a unit of measurement that can express code execution speed in absolute terms?

I've always seen code execution speed measured either in units of time (e.g. t milliseconds), or using asymptotic analysis (e.g. O(n log n)). Execution speed will vary depending on hardware ...
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53 views

Karatsuba Multiplication Rule in dividing a Number in two parts

In Karatsuba algorithm for multiplying two numbers, we divide each number into two. For example: x= 1234 y= 2456 Then a = 12, b = 34, c = 24 , d = 56 What if ...
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1answer
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How to find an algorithm's complexity from actual running times

I have a certain algorithm which I can run, but I do not have access to its code. Thus, it works as a black box. I would like to now the order of complexity of this algorithm on a certain set of ...
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1answer
38 views

Average Case Running Time of Quicksort Algorithm

From this website, it states that the average case of Quicksort algorithm is T(n) = T(n/9) + T(9n/10) + θ(n) Im a bit confused. Is it supposed to be ? ...
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1answer
58 views

Recursion Time Complexity (Half n' Half)

This is my solution for Leetcode 395, and I'm wondering how I can come up with its time complexity: Input: string $s = s_1,\ldots,s_n$, integer $k$ Go over all symbols $s_1,\ldots,s_n$, one by one ...
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How to find i-th root of n whose remainder is the smallest?

Given a number n, what is the most assymptotically fast algorithm to express it in terms of base^exponent + rem such that rem is the smallest possible and base is limited from 2 to some relatively ...
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1answer
25 views

Analysis of straight insertion

I'm currently reading through N. Wirths': Algorithms + Data Structures = Programs. I'm not sure, but I think there might be an error in the analysis of the provided straight insertion sort. Screenshot ...
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How to apply AC-3(Arc-consistency 3) algorithm in N-Queen problem?

I am building N-Queen Solver with java. I confused with AC-3 algorithm. I heard that AC-3 can be applied with backtracking algorithm before processing and during the search.The latter is called MAC-3 ...
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Choosing algorithms and/or data structures at runtime based on input characteristics

I've been reading about Adaptive Computing, i.e. the idea of computer programs taking feedback from the environment at runtime to improve the output in some way. More precisely, my current focus is in ...
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BigO time complexity of 3 nested for loops

I'm debating with a friend whether a particular function I wrote is $O(N^3)$ or $O(N \times M \times X)$ I believe it is the latter since all 3 variables differ in size. $N = 100, M = 50, X = 10000$ ...