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| long int | mio::Optim::round (const double &x) |
| | Optimized version of c++ round() This version works with positive and negative numbers but does not comply with IEEE handling of border cases (like infty, Nan, etc). Please benchmark your code before deciding to use this!! More...
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| long int | mio::Optim::floor (const double &x) |
| | Optimized version of c++ floor() This version works with positive and negative numbers but does not comply with IEEE handling of border cases (like infty, Nan, etc). Please benchmark your code before deciding to use this!! More...
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| long int | mio::Optim::ceil (const double &x) |
| | Optimized version of c++ ceil() This version works with positive and negative numbers but does not comply with IEEE handling of border cases (like infty, Nan, etc). Please benchmark your code before deciding to use this!! More...
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| double | mio::Optim::intPart (const double &x) |
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| double | mio::Optim::fracPart (const double &x) |
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| float | mio::Optim::invSqrt (const float x) |
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| double | mio::Optim::invSqrt (const double x) |
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| float | mio::Optim::fastSqrt_Q3 (const float x) |
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| double | mio::Optim::fastSqrt_Q3 (const double x) |
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| double | mio::Optim::pow2 (const double &val) |
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| double | mio::Optim::pow3 (const double &val) |
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| double | mio::Optim::pow4 (const double &val) |
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| double | mio::Optim::fastPowInternal (double a, double b) |
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| double | mio::Optim::fastPow (double a, double b) |
| | Optimized version of c++ pow() This version works with positive and negative exponents and handles exponents bigger than 1. The relative error remains less than 6% for the benchmarks that we ran (argument between 0 and 500 and exponent between -10 and +10). It is ~3.3 times faster than cmath's pow(). Source: http://martin.ankerl.com/2012/01/25/optimized-approximative-pow-in-c-and-cpp/. More...
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| template<int n> |
| float | mio::Optim::nth_rootf (float x) |
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| template<int n> |
| double | mio::Optim::nth_rootd (double x) |
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| double | mio::Optim::cbrt (double x) |
| | Optimized version of cubic root This version is based on a single iteration Halley's method (see https://en.wikipedia.org/wiki/Halley%27s_method) with a seed provided by a bit hack approximation. It should offer 15-16 bits precision and be three times faster than pow(x, 1/3). In some test, between -500 and +500, the largest relative error was 1.2e-4. Source: Otis E. Lancaster, Machine Method for the Extraction of Cube Root Journal of the American Statistical Association, Vol. 37, No. 217. (Mar., 1942), pp. 112-115. and http://metamerist.com/cbrt/cbrt.htm. More...
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| double | mio::Optim::pow10 (double x) |
| | Optimized version of 10^x This works for 0 <= x <= 1 and offers a theoritical precision of 5e-5 Source: Approximations for digital computers, Cecil Hastings, JR, Princeton University Press, 1955. More...
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| template<typename T > |
| T | mio::Optim::fastPow (T p, unsigned q) |
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| double | mio::Optim::ln_1plusX (double x) |
| | Optimized version of ln(1+x) This works for 0 <= x <= 1 and offers a theoritical precision of 5e-5 Source: Approximations for digital computers, Cecil Hastings, JR, Princeton University Press, 1955. More...
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| unsigned long int | mio::Optim::powerOfTwo (const unsigned int &n) |
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1.9.4