matrix_inverse.cpp
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#include <poincare/matrix_inverse.h>
#include <poincare/matrix.h>
#include <poincare/division.h>
#include <poincare/undefined.h>
#include <poincare/power.h>
extern "C" {
#include <assert.h>
}
#include <cmath>
namespace Poincare {
Expression::Type MatrixInverse::type() const {
return Type::MatrixInverse;
}
Expression * MatrixInverse::clone() const {
MatrixInverse * a = new MatrixInverse(m_operands, true);
return a;
}
Expression * MatrixInverse::shallowReduce(Context& context, AngleUnit angleUnit) {
Expression * e = Expression::shallowReduce(context, angleUnit);
if (e != this) {
return e;
}
Expression * op = editableOperand(0);
#if MATRIX_EXACT_REDUCING
if (!op->recursivelyMatches(Expression::IsMatrix)) {
detachOperand(op);
return replaceWith(new Power(op, new Rational(-1), false), true)->shallowReduce(context, angleUnit);
}
if (op->type() == Type::Matrix) {
Matrix * mat = static_cast<Matrix *>(op);
if (mat->numberOfRows() != mat->numberOfColumns()) {
return replaceWith(new Undefined(), true);
}
}
return this;
#else
detachOperand(op);
return replaceWith(new Power(op, new Rational(-1), false), true)->shallowReduce(context, angleUnit);
#endif
}
// TODO: handle this exactly in shallowReduce for small dimensions.
template<typename T>
Evaluation<T> * MatrixInverse::templatedApproximate(Context& context, AngleUnit angleUnit) const {
Evaluation<T> * input = operand(0)->privateApproximate(T(), context, angleUnit);
Evaluation<T> * inverse = input->createInverse();
if (inverse == nullptr) {
inverse = new Complex<T>(Complex<T>::Undefined());
}
delete input;
return inverse;
}
}