What does it mean by expected running time and average running time of an algorithm?
Let’s say we want to analyze running time of algorithms. Sometimes we say that we want to find the running time of an algorithm when the input size is n and for the worst possible case it is denote it by O(n). Sometimes though I see books/papers saying that we need to find the expected time of an algorithm. Also sometimes the average running time is used .
Nearest color algorithm using Hex Triplet
Wikipedia has a list of colors that I am using for a basis of color names. I want to find the nearest named color given an arbitrary RGB value.
Preferring Python over C for Algorithmic Programming
I’ve been studying a bit of algorithms and have been looking at sites like SPOJ.pl TopCoder etc. I’ve seen that programmers prefer C or C++ usually for most algorithmic programming contests.
Explanation of satellite data from a programmer’s perspective
I have started reading Part 2 of Introduction to Algorithms and in the section The structure of the data the author/authors says in the context of sorting a sequence of numbers:
Looking for a very memory-efficient way of finding exporting all relations in a family tree
Think of the question as a family tree, in the PS section I will explain what exactly it is but family tree is easier to imagine: so father, has kids, those kids may have more kids, those kids may have more kids, etc..
Why is the use of abstractions (such as LINQ) so taboo? [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Closed 9 years ago. Locked. This question and its answers are locked because the question is off-topic but has historical significance. It is not currently accepting new answers or interactions. I am an independent contractor and, as such, I interview 3-4 times a year […]
QoS implementation algorithm
I’m working on an application, that does IP routing and QoS. Today we have the QoS implemented, with 3 priorities (low, normal and high) and for each level we create a Queue and as soon as the packages are queued, we send it forward in a FIFO way (the scheduler spend 60% of time with the high queue, 30% the time with normal and 10% with the low queue). It works, but as FIFO it has some drawbacks like:
Running time insensitive to input?
I read the following in Algorithms 4th Edition by Robert Sedgewick and Kevin Wayne:
How will quantum computing change programming? [closed]
Closed 11 years ago.
Algorithm Analysis: Frequencies of Execution
I am currently reading the Analysis of Algorithms section in Algorithms, 4th Edition and I’m trying to understand how the author calculated (N^2)/2 and (N^3)/6 frequencies of execution in the code snippet below (here is the full code):