You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
276 lines
7.9 KiB
276 lines
7.9 KiB
#pragma once
|
|
#include "vector.hpp"
|
|
#include <iostream>
|
|
#include <sstream>
|
|
#include <string>
|
|
using namespace std;
|
|
class matrix {
|
|
private:
|
|
long long num_entries;
|
|
long long entry_dimension;
|
|
vector *entries;
|
|
bool err;
|
|
|
|
public:
|
|
matrix(const long long num_entries, const long long entry_dimension) {
|
|
this->num_entries = entry_dimension;
|
|
this->entry_dimension = num_entries;
|
|
this->err = false;
|
|
this->entries = (vector *)malloc(sizeof(vector) * this->num_entries);
|
|
for (long long i = 0; i < entry_dimension; i++) {
|
|
this->entries[i] = vector(this->entry_dimension);
|
|
}
|
|
}
|
|
matrix(const matrix &m) {
|
|
this->num_entries = m.num_entries;
|
|
this->entry_dimension = m.entry_dimension;
|
|
this->err = m.err;
|
|
this->entries = (vector *)malloc(sizeof(vector) * m.num_entries);
|
|
for (long long i = 0; i < m.num_entries; i++) {
|
|
this->entries[i] = m[i];
|
|
}
|
|
}
|
|
~matrix() {
|
|
this->num_entries = 0;
|
|
this->entry_dimension = 0;
|
|
free(this->entries);
|
|
this->entries = NULL;
|
|
this->err = true;
|
|
}
|
|
const long long get_num_entries() const { return this->num_entries; }
|
|
const long long get_entry_dimension() const { return this->entry_dimension; }
|
|
const cnumber determinant() const {
|
|
cnumber dsum(1, 0);
|
|
cnumber osum(1, 0);
|
|
vector diag = this->get_diagonal();
|
|
vector odiag = this->get_off_diagonal();
|
|
for (long long i = 0; i < diag.get_dimention(); i++) {
|
|
dsum = dsum * diag[i];
|
|
osum = osum * odiag[i];
|
|
}
|
|
return dsum - osum;
|
|
}
|
|
const vector get_diagonal() const {
|
|
long long diag_len = this->entry_dimension;
|
|
if (this->num_entries < diag_len) {
|
|
diag_len = this->num_entries;
|
|
}
|
|
vector v(diag_len);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
if (i == j) {
|
|
v[i] = this->entries[i][j];
|
|
}
|
|
}
|
|
}
|
|
return v;
|
|
}
|
|
const vector get_off_diagonal() const {
|
|
return this->rotate_by_one_pi().get_diagonal();
|
|
}
|
|
const vector get_entry(long long index) const { return this->entries[index]; }
|
|
|
|
const vector get_row(long long index) const {
|
|
vector v(this->entry_dimension);
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
v[j] = this->entries[j][index];
|
|
}
|
|
return v;
|
|
}
|
|
|
|
const matrix rotate_by_one_pi() const {
|
|
matrix m = this->transpose();
|
|
matrix n = matrix(m.entry_dimension, m.num_entries);
|
|
for (long long i = 0; i < m.entry_dimension; i++) {
|
|
int index = m.num_entries - i - 1;
|
|
n[i] = m[index];
|
|
}
|
|
return n;
|
|
}
|
|
const matrix transpose() const {
|
|
matrix n = matrix(this->entry_dimension, this->num_entries);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
n[j][i] = this->entries[i][j];
|
|
}
|
|
}
|
|
|
|
return n;
|
|
}
|
|
const matrix conjugate() const {
|
|
matrix n = matrix(this->num_entries, this->entry_dimension);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
n[i][j] = this->entries[i][j].conjugate();
|
|
}
|
|
}
|
|
|
|
return n;
|
|
}
|
|
const matrix hermitian_conjugate() const {
|
|
return this->transpose().conjugate();
|
|
}
|
|
const matrix I() const {
|
|
matrix m = matrix(this->num_entries, this->entry_dimension);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
if (i == j) {
|
|
m[i][j] = cnumber(1, 0);
|
|
} else {
|
|
m[i][j] = 0;
|
|
}
|
|
}
|
|
}
|
|
return m;
|
|
}
|
|
const bool is_diagonal() {
|
|
bool result = true;
|
|
if (this->num_entries != this->entry_dimension)
|
|
return !result;
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->num_entries; j++) {
|
|
if (i != j && this->entries[i][j] != 0)
|
|
return !result;
|
|
}
|
|
}
|
|
return result;
|
|
}
|
|
// Fixme: This is very dumb
|
|
const vector get_eigenvalues() {
|
|
if (this->is_diagonal())
|
|
return this->get_diagonal();
|
|
return vector(0);
|
|
}
|
|
const bool is_eigenvalue(cnumber z) const {
|
|
return ((*this - (this->I() * z)).determinant() == 0);
|
|
}
|
|
const bool is_hermitian() const {
|
|
if (this->entry_dimension != this->num_entries)
|
|
return false;
|
|
matrix m = this->hermitian_conjugate();
|
|
bool equal = true;
|
|
for (long long i = 0; i < m.num_entries; i++) {
|
|
for (long long j = 0; j < m.entry_dimension; j++) {
|
|
if (m[i][j] != this->entries[i][j]) {
|
|
equal = false;
|
|
}
|
|
}
|
|
}
|
|
return equal;
|
|
}
|
|
friend ostream &operator<<(ostream &os, const matrix &m) {
|
|
char last = '\0';
|
|
int longest = 0;
|
|
for (long long i = 0; i < m.num_entries; i++) {
|
|
for (long long j = 0; j < m.entry_dimension; j++) {
|
|
ostringstream oss;
|
|
oss << m.entries[i][j];
|
|
string s = oss.str();
|
|
if (longest < s.length())
|
|
longest = s.length();
|
|
}
|
|
}
|
|
for (long long i = 0; i < m.num_entries; i++) {
|
|
for (long long j = 0; j < m.entry_dimension; j++) {
|
|
ostringstream iss;
|
|
iss << m.entries[i][j];
|
|
string s = iss.str();
|
|
int padding = longest - s.length() +1;
|
|
string symbols[3];
|
|
symbols[0] = "|";
|
|
ostringstream oss;
|
|
oss << m.entries[i][j] ;
|
|
oss << std::setw(padding) << "|";
|
|
symbols[1] = oss.str();
|
|
symbols[2] = "|";
|
|
for (int i = 0; i < 3; i++) {
|
|
int len = symbols[i].length() - 1;
|
|
char cur = symbols[i][0];
|
|
if (cur != last) {
|
|
os << symbols[i];
|
|
}
|
|
last = symbols[i][len];
|
|
}
|
|
}
|
|
if (i != m.num_entries - 1)
|
|
os << endl << "|";
|
|
}
|
|
return os;
|
|
}
|
|
const bool operator==(const matrix &m) const {
|
|
bool equal = true;
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
if (this->entries[i][j] != m[i][j]) {
|
|
equal = false;
|
|
}
|
|
}
|
|
}
|
|
return equal;
|
|
}
|
|
vector &operator[](const long long index) { return this->entries[index]; }
|
|
const vector operator[](const long long index) const {
|
|
return this->entries[index];
|
|
}
|
|
const matrix operator*(const cnumber z) const {
|
|
matrix n(this->num_entries, this->entry_dimension);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
n[i] = this->entries[i] * z;
|
|
}
|
|
|
|
return n;
|
|
}
|
|
|
|
const matrix operator*(vector &v) const {
|
|
matrix res(this->get_num_entries(), this->get_entry_dimension());
|
|
for (long long i = 0; i < this->get_num_entries(); i++) {
|
|
for (long long j = 0; j < this->get_entry_dimension(); j++) {
|
|
res[i][j] = (this->get_entry(i)[j] * v.get_entry(i));
|
|
}
|
|
}
|
|
|
|
return res;
|
|
}
|
|
const matrix operator*(const matrix m) const {
|
|
matrix n(this->num_entries, m.entry_dimension);
|
|
if (this->num_entries != m.entry_dimension &&
|
|
m.num_entries != this->entry_dimension) {
|
|
n.err = true;
|
|
return n;
|
|
}
|
|
for (long long i = 0; i < this->entry_dimension; i++) {
|
|
for (long long j = 0; j < this->entry_dimension; j++) {
|
|
n[i][j] = this->get_entry(i) * m.get_row(j);
|
|
}
|
|
}
|
|
|
|
return n;
|
|
}
|
|
|
|
const matrix operator+(const matrix &m) const {
|
|
matrix n(this->num_entries, this->entry_dimension);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
n[i] = this->entries[i] + m[i];
|
|
}
|
|
|
|
return n;
|
|
}
|
|
const matrix operator-(const matrix &m) const {
|
|
matrix n(this->num_entries, this->entry_dimension);
|
|
for (long long i = 0; i < this->num_entries; i++) {
|
|
n[i] = this->entries[i] - m[i];
|
|
}
|
|
|
|
return n;
|
|
}
|
|
void operator=(const matrix &m) {
|
|
this->num_entries = m.num_entries;
|
|
this->entry_dimension = m.entry_dimension;
|
|
this->err = m.err;
|
|
free(this->entries);
|
|
this->entries = (vector *)malloc(sizeof(vector) * m.num_entries);
|
|
for (long long i = 0; i < m.num_entries; i++)
|
|
this->entries[i] = m[i];
|
|
}
|
|
};
|