A novel approach to solving a penalty reformulation using sequential convex programming and a homotopy on the penalty parameter is introduced. Linearizing the necessarily nonconvex penalty function ...

The final output result is 6x32x32, which seems to represent the Hessian matrix for all 32 joints. However, based on my understanding of the Hessian matrix, its dimension should be 6x32, matching the ...

Quadratic programming was applied to achieve a diet with the same GHGE as the Danish plant-rich diet (31% reduction), to show an alternative way of composing a nutritionally adequate, healthy, and ...

While these three control mechanisms can be optimized separately using two-stage sequential optimization, the results are often suboptimal. As such, this study proposes simultaneous optimization and ...

Optimization, which seeks to find a weight vector minimizing the uncertainty of the combined model, is performed using the quadratic programming (QP) technique, which provides very fast and solid ...

We can use Jax to calculate the hessian matrix and jacobian instead of providing it ourselves. IPOPT with Jax is very slow for large problems. If we calculate the hessian matrix and jacobian ourselves ...

All geometries within the same domain share the same Hessian matrix, which is the one calculated at the neuron location. The use of supervised and unsupervised machine learning algorithms for ...