Levenshtein counts the number of edits (insertions, deletions, or substitutions) needed to convert one string to the other. Damerau-Levenshtein is a modified version that also considers transpositions as single edits. Although the output is the integer number of edits, this can be normalized to give a similarity value by the formula 1 – (edit distance … Read more
You should not do that for JavaScript files if you care about performance or IE9 compatibility. GitHub doesn’t serve its “raw” files with a far-future expires header. Without the possibility of cross-site caching, you lose the biggest benefit of using a public CDN to host your JavaScript. In fact, using GitHub as a CDN will … Read more
const correctness can’t improve performance because const_cast and mutable are in the language, and allow code to conformingly break the rules. This gets even worse in C++11, where your const data may e.g. be a pointer to a std::atomic, meaning the compiler has to respect changes made by other threads. That said, it is trivial … Read more
Well, it partly depends on the exact type of list. It will also depend on the exact CLR you’re using. Whether it’s in any way significant or not will depend on whether you’re doing any real work in the loop. In almost all cases, the difference to performance won’t be significant, but the difference to … Read more
Some Map implementations are allowed to have null values, eg HashMap, in this case if get(key) returns null it does not guarantee that there is no entry in the map associated with this key. So if you want to know if a map contains a key use Map.containsKey. If you simply need a value mapped … Read more
Is it true that the browser will need to download the WebAssembly library every time the page loads? No, browsers can cache the files. Common CDNs for Blazor applications will do the trick. Is this system faster to work than, for example, React / Vue.js, compiled in JavaScript? Blazor uses WebAssembly, On paper WebAssembly should … Read more
The tree is massive By far the most expensive thing a processor ever does is not executing instructions, it is accessing memory. The execution core of a modern CPU is many times faster than the memory bus. A problem related to distance, the further an electrical signal has to travel, the harder it gets to … Read more
how to find out why this solution is so slow. Are there any commands that tell me where most of the computation-time is spend so I know which part of my haskell-program is slow? Precisely! GHC provides many excellent tools, including: runtime statistics time profiling heap profiling thread analysis core analysis. comparative benchmarking GC tuning … Read more
You can get the idea by running other versions of your code. Consider explicitly writing out the computations, instead of using a function in your loop tic Soln3 = ones(T, N); for t = 1:T for n = 1:N Soln3(t, n) = 3*x(t, n)^2 + 2*x(t, n) – 1; end end toc Time to compute … Read more
The match approach works when there is a unique key in the second data frame for each key value in the first. If there are duplicates in the second data frame then the match and merge approaches are not the same. Match is, of course, faster since it is not doing as much. In particular … Read more