| // Copyright 2016 Ismael Jimenez Martinez. All rights reserved. |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Source project : https://github.com/ismaelJimenez/cpp.leastsq |
| // Adapted to be used with google benchmark |
| |
| #ifndef COMPLEXITY_H_ |
| #define COMPLEXITY_H_ |
| |
| #include <string> |
| #include <vector> |
| #include <functional> |
| |
| namespace benchmark { |
| |
| // BigO is passed to a benchmark in order to specify the asymptotic computational |
| // complexity for the benchmark. In case oAuto is selected, complexity will be |
| // calculated automatically to the best fit. |
| enum BigO { |
| oNone, |
| o1, |
| oN, |
| oNSquared, |
| oNCubed, |
| oLogN, |
| oNLogN, |
| oAuto |
| }; |
| |
| // This data structure will contain the result returned by MinimalLeastSq |
| // - coef : Estimated coeficient for the high-order term as |
| // interpolated from data. |
| // - rms : Normalized Root Mean Squared Error. |
| // - complexity : Scalability form (e.g. oN, oNLogN). In case a scalability |
| // form has been provided to MinimalLeastSq this will return |
| // the same value. In case BigO::oAuto has been selected, this |
| // parameter will return the best fitting curve detected. |
| |
| struct LeastSq { |
| LeastSq() : |
| coef(0), |
| rms(0), |
| complexity(benchmark::oNone) {} |
| |
| double coef; |
| double rms; |
| benchmark::BigO complexity; |
| }; |
| |
| // Function to to return an string for the calculated complexity |
| std::string GetBigOString(benchmark::BigO complexity); |
| |
| // Find the coefficient for the high-order term in the running time, by |
| // minimizing the sum of squares of relative error. |
| LeastSq MinimalLeastSq(const std::vector<int>& n, |
| const std::vector<double>& time, |
| const benchmark::BigO complexity = benchmark::oAuto); |
| |
| } // end namespace benchmark |
| #endif // COMPLEXITY_H_ |