Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method
With the explosive development of the computer vision technology, more and more vision-
based inspection methods enabled by unmanned aerial vehicle technologies have been …
based inspection methods enabled by unmanned aerial vehicle technologies have been …
AdaFed: Optimizing participation-aware federated learning with adaptive aggregation weights
Federated learning (FL) has become one of the mainstream paradigms for multi-party
collaborative learning with privacy protection. As it is difficult to guarantee all FL devices to …
collaborative learning with privacy protection. As it is difficult to guarantee all FL devices to …
Value function gradient learning for large-scale multistage stochastic programming problems
A stagewise decomposition algorithm called “value function gradient learning”(VFGL) is
proposed for large-scale multistage stochastic convex programs. VFGL finds the parameter …
proposed for large-scale multistage stochastic convex programs. VFGL finds the parameter …
A globally convergent LP-Newton method
A Fischer, M Herrich, AF Izmailov, MV Solodov - SIAM Journal on Optimization, 2016 - SIAM
We develop a globally convergent algorithm based on the LP-Newton method, which has
been recently proposed for solving constrained equations, possibly nonsmooth and possibly …
been recently proposed for solving constrained equations, possibly nonsmooth and possibly …
Stabilized sequential quadratic programming for optimization and a stabilized Newton-type method for variational problems
D Fernández, M Solodov - Mathematical programming, 2010 - Springer
The stabilized version of the sequential quadratic programming algorithm (sSQP) had been
developed in order to achieve fast convergence despite possible degeneracy of constraints …
developed in order to achieve fast convergence despite possible degeneracy of constraints …
Mathematical programs with complementarity constraints in the context of inverse optimal control for locomotion
S Albrecht, M Ulbrich - Optimization Methods and Software, 2017 - Taylor & Francis
In this paper an inverse optimal control problem in the form of a mathematical program with
complementarity constraints (MPCC) is considered and numerical experiences are …
complementarity constraints (MPCC) is considered and numerical experiences are …
On attraction of linearly constrained Lagrangian methods and of stabilized and quasi-Newton SQP methods to critical multipliers
AF Izmailov, MV Solodov - Mathematical programming, 2011 - Springer
It has been previously demonstrated that in the case when a Lagrange multiplier associated
to a given solution is not unique, Newton iterations [eg, those of sequential quadratic …
to a given solution is not unique, Newton iterations [eg, those of sequential quadratic …
Convergence conditions for Newton-type methods applied to complementarity systems with nonisolated solutions
A Fischer, M Herrich, AF Izmailov… - Computational …, 2016 - Springer
We consider a class of Newton-type methods that are designed for the difficult case when
solutions need not be isolated, and the equation mapping need not be differentiable at the …
solutions need not be isolated, and the equation mapping need not be differentiable at the …
The effect of calmness on the solution set of systems of nonlinear equations
We address the problem of solving a continuously differentiable nonlinear system of
equations under the condition of calmness. This property, also called upper Lipschitz …
equations under the condition of calmness. This property, also called upper Lipschitz …
A note on upper Lipschitz stability, error bounds, and critical multipliers for Lipschitz-continuous KKT systems
AF Izmailov, AS Kurennoy, MV Solodov - Mathematical Programming, 2013 - Springer
We prove a new local upper Lipschitz stability result and the associated local error bound for
solutions of parametric Karush–Kuhn–Tucker systems corresponding to variational …
solutions of parametric Karush–Kuhn–Tucker systems corresponding to variational …