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LinearSum.h
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3 //*
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9 
10 #pragma once
11 
12 #include "Gaussian.h"
13 
17 class LinearSum : public Gaussian
18 {
19 public:
20  static InputParameters validParams();
21 
22  LinearSum(const InputParameters & parameters);
23 
24  virtual Real function(const std::vector<Real> & x) const override;
25 
32  static Real
33  function(const std::vector<Real> & exp, const std::vector<Real> & model, const Real & noise);
34 };
exp
auto exp(const T &)
MooseObject::parameters
const InputParameters & parameters() const
Gaussian
A class used to generate a Gaussian likelihood of observing model predictions.
Definition: Gaussian.h:18
LinearSum
A class used to generate a LinearSum function of observing model predictions.
Definition: LinearSum.h:17
x
const std::vector< double > x
Definition: EquilibriumConstantFitTest.C:17
model
const PertinentGeochemicalSystem model(database, {"H2O", "H+", "HCO3-", "O2(aq)", "Ca++", ">(s)FeOH", "radius_neg1", "radius_neg1.5"}, {"Calcite"}, {}, {"Calcite_asdf"}, {"CH4(aq)"}, {">(s)FeOCa+"}, "O2(aq)", "e-")
LinearSum::LinearSum
LinearSum(const InputParameters &parameters)
Definition: LinearSum.C:23
Real
DIE A HORRIBLE DEATH HERE typedef LIBMESH_DEFAULT_SCALAR_TYPE Real
LinearSum::validParams
static InputParameters validParams()
Definition: LinearSum.C:15
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