A general quadratic programming algorithm. IMA Journal of Applied Mathematics, vol. 7, no. 1, pages 76-91, 1971. (Cited in page 71.)R. Fletcher, A general quadratic programming algorithm, J. Inst. Math. Applics., 7 (1971), pp. 76-91....
A dual active-set algorithm for convex quadratic programming Topics control optimization numerical-optimization quadratic-programming model-predictive-control active-set-method Resources Readme License MIT license Activity Stars 69 stars Watchers 6 watching Forks 13 forks Report repository Release...
This MATLAB function finds an optimal solution, x, to a quadratic programming problem by minimizing the objective function:
Combining the ideas of generalized projection and the strongly subfeasible sequential quadratic programming (SQP) method, we present a new strongly subfeasible SQP algorithm for nonlinearly inequality-constrained optimization problems. The algorithm, in which a new unified step-length search of Armijo typ...
The LARS algorithm therein is like a classical parametric quadratic programming algorithm in the optimization literature [14] although the LASSO structure is explicitly exploited. Its complexity is in general exponential in the number of variables due to the possible exponential number of breakpoints of...
Models without any quadratic features are often referred to as Mixed Integer Linear Programming (MILP) problems. What follows is a description of the algorithm used by Gurobi to solve MILP models. The extension to MIQP and MIQCP is mostly straightforward, but we won’t describe them here. ...
Parallelism As noted at the beginning of this discussion, the Gurobi MIP solver runs in parallel. The main source of parallelism is the fact that different nodes in the MIP tree search can be processed independently. As is probably apparent, however, the root node presents limited parallelism op...
We present a practical algorithm for computing the volume of a convex body with a target relative accuracy parameter $$\varepsilon >0$$ . The convex
Subsequently, we provide a general formula for higher-order derivatives. The first application we consider is advanced velocity control. In this Section, we extend resolved-rate motion control to perform sub-tasks while still achieving the goal before redefining the algorithm as a quadratic program ...
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, ... Boris Kramer Article 116402 select article A return mapping algorithm based on the hyper dual step derivative approximation for elastoplastic mod...