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Diffstat (limited to 'test/math/gauss.cpp')
| -rw-r--r-- | test/math/gauss.cpp | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/test/math/gauss.cpp b/test/math/gauss.cpp new file mode 100644 index 0000000..37bacce --- /dev/null +++ b/test/math/gauss.cpp @@ -0,0 +1,118 @@ +#include "../util.h" +constexpr double EPS = 1e-9; +constexpr int UNIQUE = 1; +constexpr int INCONSISTENT = 2; +constexpr int MULTIPLE = 3; +vector<vector<double>> mat; +#include <math/gauss.cpp> + +vector<vector<double>> inverseMat(const vector<vector<double>>& m) { + int n = sz(m); + mat = m; + for (int i = 0; i < n; i++) { + if (sz(mat[i]) != n) cerr << "error: no square matrix" << FAIL; + mat[i].resize(2*n); + mat[i][n+i] = 1; + } + gauss(n);//the unique cetc. checks are not usefull since we dont solve an lgs... + vector<vector<double>> res(m); + for (int i = 0; i < n; i++) { + res[i] = vector<double>(mat[i].begin() + n, mat[i].end()); + for (int j = 0; j < n; j++) { + if (j != i && mat[i][j] != 0) cerr << "error: not full rank?" << FAIL; + if (j == i && mat[i][j] == 0) cerr << "error: not full rank?" << FAIL; + } + } + return res; +} + +vector<vector<double>> mul(const vector<vector<double>>& a, const vector<vector<double>>& b) { + int n = sz(a); + int m = sz(b[0]); + int x = sz(b); + if (sz(a[0]) != sz(b)) cerr << "error: wrong dimensions" << FAIL; + vector<vector<double>> res(n, vector<double>(m)); + for (int i = 0; i < n; i++) { + for (int j = 0; j < m; j++) { + for (int k = 0; k < x; k++) { + res[i][j] += a[i][k] * b[k][j]; + } + } + } + return res; +} + +void test_tiny() { + mat = { + {1, 2, 3, 4}, + {0, 5, 6, 7}, + {0, 0, 8, 9}, + }; + if (gauss(sz(mat)) != UNIQUE) cerr << "error: 1" << FAIL; + + mat = { + {-1, 1, 0, -1}, + { 2, 6, 0, 10}, + { 1, -2, 0, 0}, + }; + if (gauss(sz(mat)) != MULTIPLE) cerr << "error: 2" << FAIL; + + mat = { + {-1, 1, 0, -1}, + { 2, 6, 0, 10}, + { 1, -2, 0, 1}, + }; + if (gauss(sz(mat)) != INCONSISTENT) cerr << "error: 3" << FAIL; +} + +void stress_test_inv() { + ll queries = 0; + for (int tries = 0; tries < 20'000; tries++) { + int n = Random::integer<int>(1, 30); + + vector<vector<double>> m(n); + for (auto& v : m) v = Random::reals<double>(n, 0, 1'000); + // m hopefully has full rank... + + auto inv = inverseMat(m); + + auto prod = mul(m, inv); + + for (int i = 0; i < n; i++) { + for (int j = 0; j < n; j++) { + if (i == j && abs(prod[i][j] - 1) >= EPS) cerr << "error: not inverted " << prod[i][j] << FAIL; + if (i != j && abs(prod[i][j] - 0) >= EPS) cerr << "error: not inverted " << prod[i][j] << FAIL; + } + } + + queries += n; + } + cerr << "tested random queries: " << queries << endl; +} + +constexpr int N = 250; +void performance_test() { + timer t; + + vector<vector<double>> m(N); + for (auto& v : m) v = Random::reals<double>(N, 0, 1'000); + mat = m; + + t.start(); + gauss(N); + t.stop(); + hash_t hash = 0; + for (int i = 0; i < N; i++) { + for (int j = 0; j < N; j++) { + hash += mat[i][j]; + } + } + if (t.time > 500) cerr << "too slow: " << t.time << FAIL; + cerr << "tested performance: " << t.time << "ms (hash: " << hash << ")" << endl; +} + +int main() { + test_tiny(); + stress_test_inv(); + performance_test(); +} |
