Search Results for "table"

LinAsm is collection of very fast and SIMD optimized assembly written libraries for x86-64 Linux. It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract...

I was curious how much better the Algorithms, pointed out by BitTwiddling Hacks, perform than a simple Lookup Table approach... Now I think, perhaps my little investigation is interesting for others too... PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside countbisset (hamming weight): ceil(log2()) + floor(log2()), bitreverse, ... ...

...Its encoder applies deterministic, spec-compliant transformations that maximize compressibility without altering rendering results, making it safe for production web delivery. The decoder is just as strict, validating headers and table checksums to guard against malformed inputs. Because WOFF2 is now ubiquitous across browsers and CDNs, this repo often serves as the canonical baseline for tooling.

Description: We propose and implement in C++ the hashed dynamic determinants scheme. This consists of efficient implementations of dynamic determinant algorithms and a hash table that stores intermediate results (matrices and determinants) in order to be used in subsequent steps of the algorithm. Related papers: V.Fisikopoulos, L.Peñaranda. Faster Geometric Algorithms via Dynamic Determinant Computation. In Algorithms – ESA 2012, Lecture Notes in Computer Science Volume 7501, 2012, pp 443-454.