processing-efficiency

This is the question: There are N boys and N girls. Only a boy and a girl can form a dancing pair (i.e. no same sex dancing pairs are allowed). The only other condition in making pairs is that their absolute difference in height should be less than or equal to K. Find the maximum number of pairs that can be formed so that everyone has a unique partner. I want to improve my algorithm to take less time.. first see the code: //k is the maximum difference between pairs int k = 5; ArrayList<Integer> ArrBoys = new ArrayList<>(Arrays.asList(new Integer[]{28, 16, 22})); ArrayList<Integer> ArrGirls =

Currently, I am reading over a study a guide that my professor handed out in class. The study guide is not an assignment, just something to know what to expect on an exam. I've completed all but 1 problem and was hoping someone could help me out. Here is the question: Suppose Tserial = n and Tparallel = n/p + log2(p), where times are in miliseconds and p is the number of processes. If we increase p by a factor of k, find a formula for how much we’ll need to increase n in order to maintain constant efficiency. How much should we increase n by if we double the number of processes from 8 to 16?

ES6 supports array destructuring which could be used to swap variables in succinct syntax like below, but is this efficient and suggested in performance sensitive code as array processing? Because it seems a new temporary array is needed to complete this operation. [a, b] = [b, a] Let's test ! let a = 42 let b = 69 console.log("for 2000000 iterations"); console.time("deconstruct") for(let i=2000000; i>=0; --i) [a, b] = [b, a]; console.timeEnd("deconstruct") console.time("classical") for(let i=2000000; i>=0; --i) { let tmp = a a = b b = tmp } console.timeEnd("classical") So it not seems to be

I was recently in a C++ technical interview, where I was given a bit of simple string manipulation code, which is intended to take a string and return a string that is comprised of the first and last n-characters, and then proceed to correct any bugs and to also make the function as efficient as possible, I came up with the solution below, however the interviewer claimed there was an even faster more optimal way: Original code: std::string first_last_n(int n, std::string s) { std::string first_n = s.substr(0,n); std::string last_n = s.substr(s.size()-n-1,n); return first_n + last_n; } My code:

In some environments such as Java, it's natural to use TCP/IP sockets to pass messages between processes on the same host using the 'localhost' address (127.0.0.1 in IPv4, or ::1 in IPv6). (Because Java tends not to expose other IPC mechanisms in its API). Clearly, this has the potential to be a lot slower than IPC via message passing over pipes, or IPC using shared-memory. On the other hand, if the TCP/IP networking stack realised that both ends of the connection were on the loopback interface, it might be able to do a fair bit of optimisation so that the efficiency might not differ much from

From anybody with real experience, how do LIKE queries perform in MySQL on multi-million row tables, in terms of speed and efficiency, if the field has a plain INDEX? Is there a better alternative (that doesn't filter results out, like the FULLTEXT 50% rule) for perform database field searches on multi-million row tables? EXAMPLE: Schema (comments table) id (PRIMARY) title(INDEX) content time stamp Query SELECT * FROM 'comments' WHERE 'title' LIKE '%query%' From anybody with real experience, how do LIKE queries perform in MySQL on multimillion row tables, in terms of speed and effiency, if the