votca 2024.2-dev
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optimiser_costfunction.h
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1/*
2 * Copyright 2009-2020 The VOTCA Development Team
3 * (http://www.votca.org)
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License")
6 *
7 * You may not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an "AS IS" BASIS,
14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
17 *
18 */
19
20#pragma once
21#ifndef VOTCA_XTP_OPTIMISER_COSTFUNCTION_H
22#define VOTCA_XTP_OPTIMISER_COSTFUNCTION_H
23
24// Local VOTCA includes
25#include "eigen.h"
26
27namespace votca {
28namespace xtp {
29
31 public:
32 virtual ~Optimiser_costfunction() = default;
33
34 virtual double EvaluateCost(const Eigen::VectorXd& parameters) = 0;
35
36 virtual Eigen::VectorXd EvaluateGradient(
37 const Eigen::VectorXd& parameters) = 0;
38
39 virtual Index NumParameters() const = 0;
40
41 virtual bool Converged(const Eigen::VectorXd& delta_parameters,
42 double delta_cost,
43 const Eigen::VectorXd& gradient) = 0;
44};
45
46} // namespace xtp
47} // namespace votca
48#endif // VOTCA_XTP_OPTIMISER_COSTFUNCTION_H
virtual ~Optimiser_costfunction()=default
virtual double EvaluateCost(const Eigen::VectorXd &parameters)=0
virtual Eigen::VectorXd EvaluateGradient(const Eigen::VectorXd &parameters)=0
virtual Index NumParameters() const =0
virtual bool Converged(const Eigen::VectorXd &delta_parameters, double delta_cost, const Eigen::VectorXd &gradient)=0
base class for all analysis tools
Definition basebead.h:33
Eigen::Index Index
Definition types.h:26