summaryrefslogtreecommitdiff
path: root/quantity.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'quantity.hpp')
-rw-r--r--quantity.hpp119
1 files changed, 119 insertions, 0 deletions
diff --git a/quantity.hpp b/quantity.hpp
new file mode 100644
index 0000000..400a0dd
--- /dev/null
+++ b/quantity.hpp
@@ -0,0 +1,119 @@
+
+#pragma once
+
+#include <array>
+#include <cmath>
+#include <list>
+#include <vector>
+#include <fstream>
+#include <iomanip>
+
+template <class T>
+class Quantity {
+private:
+ uint64_t N;
+ uint64_t n;
+ unsigned skip;
+ std::list<T> hist;
+ double total;
+ double total2;
+ std::vector<double> C;
+
+public:
+ Quantity(unsigned lag, unsigned s = 1) : C(lag) {
+ skip = s;
+ N = 0;
+ n = 0;
+ total = 0;
+ total2 = 0;
+ }
+
+ void read(std::string filename) {
+ std::ifstream inFile(filename);
+ inFile >> n;
+ inFile >> total;
+ inFile >> total2;
+
+ for (double& Ci : C) {
+ inFile >> Ci;
+ }
+ }
+
+ void write(std::string filename) const {
+ std::ofstream outFile(filename);
+ outFile << std::setprecision(15) << n << " " << total << " " << total2 << std::endl;
+ for (double Ci : C) {
+ outFile << Ci << " ";
+ }
+ outFile << std::endl;
+ outFile.close();
+ }
+
+ void reset() {
+ total = 0;
+ total2 = 0;
+ std::fill(C.begin(), C.end(), 0);
+ n = 0;
+ hist = {};
+ }
+
+ void add(const T& x) {
+ if (N % skip == 0) {
+ hist.push_front(x);
+ if (hist.size() > C.size()) {
+ hist.pop_back();
+ unsigned t = 0;
+ for (T a : hist) {
+ C[t] += a * x;
+ t++;
+ }
+ double norm = x * x;
+ total += sqrt(norm);
+ total2 += norm;
+ n++;
+ }
+ }
+ N++;
+ }
+
+ double avg() const { return total / n; }
+
+ double avg2() const { return total2 / n; }
+
+ std::vector<double> ρ() const {
+ double C0 = C.front() / n;
+ double avg2 = pow(total / n, 2);
+
+ std::vector<double> ρtmp;
+
+ for (double Ct : C) {
+ ρtmp.push_back((Ct / n - avg2) / (C0 - avg2));
+ }
+
+ return ρtmp;
+ }
+
+ std::array<double, 2> τ() const {
+ double τtmp = 0.5;
+ unsigned M = 1;
+ double c = 8.0;
+
+ std::vector<double> ρ_tmp = this->ρ();
+
+ while (c * τtmp > M && M < C.size()) {
+ τtmp += ρ_tmp[M];
+ M++;
+ }
+
+ return {skip * τtmp, skip * 2.0 * (2.0 * M + 1) * pow(τtmp, 2) / n};
+ }
+
+ double σ() const {
+ return 2.0 / n * this->τ()[0] * (C[0] / n - pow(this->avg(), 2));
+ }
+
+ double serr() const { return sqrt(this->σ()); }
+
+ unsigned num_added() const { return n; }
+};
+