Searched refs:gradient_ (Results 1 – 8 of 8) sorted by relevance
111 gradient_.resize(n, 1); in ComputeStep()174 gradient_.setZero(); in ComputeGradient()175 jacobian->LeftMultiply(residuals, gradient_.data()); in ComputeGradient()176 gradient_.array() /= diagonal_.array(); in ComputeGradient()188 (gradient_.array() / diagonal_.array()).matrix(); in ComputeCauchyPoint()190 alpha_ = gradient_.squaredNorm() / Jg.squaredNorm(); in ComputeCauchyPoint()199 VectorRef dogleg_step(dogleg, gradient_.rows()); in ComputeTraditionalDoglegStep()203 const double gradient_norm = gradient_.norm(); in ComputeTraditionalDoglegStep()218 dogleg_step = -(radius_ / gradient_norm) * gradient_; in ComputeTraditionalDoglegStep()233 const double b_dot_a = -alpha_ * gradient_.dot(gauss_newton_step_); in ComputeTraditionalDoglegStep()[all …]
72 Vector gradient() const { return gradient_; } in gradient()122 Vector gradient_; variable
109 gradient_(evaluator->NumEffectiveParameters()) { in LineSearchFunction()135 gradient_.data(), NULL)) { in Evaluate()139 *g = direction_.dot(gradient_); in Evaluate()
248 Vector gradient_; variable
10 return gradient_;14 gradient_.reset([gradient retain]);
20 base::scoped_nsobject<NSGradient> gradient_;
62 base::scoped_nsobject<NSGradient> gradient_; variable
288 gradient_.reset([[self gradientForHoverAlpha:0.0 isThemed:NO] retain]);378 : gradient_;