10 #ifndef CROCODDYL_CORE_ACTIVATIONS_WEIGHTED_QUADRATIC_BARRIER_HPP_
11 #define CROCODDYL_CORE_ACTIVATIONS_WEIGHTED_QUADRATIC_BARRIER_HPP_
13 #include <pinocchio/utils/static-if.hpp>
15 #include "crocoddyl/core/activations/quadratic-barrier.hpp"
16 #include "crocoddyl/core/fwd.hpp"
20 template <
typename _Scalar>
24 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
28 typedef _Scalar Scalar;
34 typedef typename MathBase::VectorXs VectorXs;
35 typedef typename MathBase::MatrixXs MatrixXs;
39 :
Base(bounds.lb.size()), bounds_(bounds), weights_(weights) {};
42 virtual void calc(
const std::shared_ptr<ActivationDataAbstract>& data,
43 const Eigen::Ref<const VectorXs>& r)
override {
44 if (
static_cast<std::size_t
>(r.size()) != nr_) {
46 "Invalid argument: " <<
"r has wrong dimension (it should be " +
47 std::to_string(nr_) +
")");
49 std::shared_ptr<Data> d = std::static_pointer_cast<Data>(data);
51 d->rlb_min_ = (r - bounds_.lb).array().min(Scalar(0.));
52 d->rub_max_ = (r - bounds_.ub).array().max(Scalar(0.));
53 d->rlb_min_.array() *= weights_.array();
54 d->rub_max_.array() *= weights_.array();
55 data->a_value = Scalar(0.5) * d->rlb_min_.matrix().squaredNorm() +
56 Scalar(0.5) * d->rub_max_.matrix().squaredNorm();
59 virtual void calcDiff(
const std::shared_ptr<ActivationDataAbstract>& data,
60 const Eigen::Ref<const VectorXs>& r)
override {
61 if (
static_cast<std::size_t
>(r.size()) != nr_) {
63 "Invalid argument: " <<
"r has wrong dimension (it should be " +
64 std::to_string(nr_) +
")");
66 std::shared_ptr<Data> d = std::static_pointer_cast<Data>(data);
67 data->Ar = (d->rlb_min_ + d->rub_max_).matrix();
68 data->Ar.array() *= weights_.array();
70 using pinocchio::internal::if_then_else;
71 for (Eigen::Index i = 0; i < data->Arr.cols(); i++) {
72 data->Arr.diagonal()[i] = if_then_else(
73 pinocchio::internal::LE, r[i] - bounds_.lb[i], Scalar(0.), Scalar(1.),
74 if_then_else(pinocchio::internal::GE, r[i] - bounds_.ub[i],
75 Scalar(0.), Scalar(1.), Scalar(0.)));
78 data->Arr.diagonal().array() *= weights_.array();
81 virtual std::shared_ptr<ActivationDataAbstract> createData()
override {
82 return std::allocate_shared<Data>(Eigen::aligned_allocator<Data>(),
this);
85 template <
typename NewScalar>
88 ReturnType res(bounds_.template cast<NewScalar>(),
89 weights_.template cast<NewScalar>());
94 const VectorXs& get_weights()
const {
return weights_; };
96 void set_weights(
const VectorXs& weights) {
97 if (weights.size() != weights_.size()) {
98 throw_pretty(
"Invalid argument: "
99 <<
"weight vector has wrong dimension (it should be " +
100 std::to_string(weights_.size()) +
")");
110 virtual void print(std::ostream& os)
const override {
111 os <<
"ActivationModelWeightedQuadraticBarrier {nr=" << nr_ <<
"}";
124 CROCODDYL_DECLARE_EXTERN_TEMPLATE_CLASS(
virtual void print(std::ostream &os) const override
Print relevant information of the quadratic barrier model.