Results 101 to 110 of about 245,277 (249)
Trial‐Based Hemolysis Modeling to Investigate Operating Modes of Continuous‐Flow LVADs
This work presents a methodology for determining online‐capable hemolysis models for continuous‐flow LVADs, derived from in vitro trials. The models are based on fitting a modified power law and applying the Lagrangian approach. They assist clinicians in selecting treatment strategies that minimize hemolysis, as demonstrated with the Sputnik1 LVAD ...
Patrick Borchers +2 more
wiley +1 more source
Augmented Lagrangian Method for Optimal Partial Transportation [PDF]
The use of augmented Lagrangian algorithm for optimal transport problems goes back to Benamou & Brenier [5, Numer. Math., 2000] in the case where the cost corresponds to the square of the Euclidean distance. It was recently extended in Benamou & Carlier [6, J. Optim.
Igbida, Noureddine, Nguyen, van Thanh
openaire +2 more sources
Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Pontryagin’s Principle-Based Algorithms for Optimal Control Problems of Parabolic Equations
This paper applies the Method of Successive Approximations (MSA) based on Pontryagin’s principle to solve optimal control problems with state constraints for semilinear parabolic equations.
Weilong You, Fu Zhang
doaj +1 more source
HYPERSPECTRAL IMAGE DENOISING WITH CUBIC TOTAL VARIATION MODEL [PDF]
Image noise is generated unavoidably in the hyperspectral image acquision process and has a negative effect on subsequent image analysis. Therefore, it is necessary to perform image denoising for hyperspectral images.
H. Zhang
doaj +1 more source
A new family of models with generalized orientation in data envelopment analysis
Abstract In the framework of data envelopment analysis, we review directional models and show that they are inadequate when inputs and outputs are improved simultaneously under constant returns to scale. Conversely, we introduce a new family of quadratically constrained models with generalized orientation and demonstrate that these models overcome this
Vicente J. Bolós +2 more
wiley +1 more source
Vehicle Lateral Control Based on Augmented Lagrangian DDPG Algorithm
This paper studies the safe trajectory tracking control of intelligent vehicles, which is still an open and challenging problem. A deep reinforcement learning algorithm based on augmented Lagrangian safety constraints is proposed to the lateral control ...
Zhi Li, Meng Wang, Haitao Zhao
doaj +1 more source
Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds
AbstractIn this paper, we present a stochastic augmented Lagrangian approach on (possibly infinite-dimensional) Riemannian manifolds to solve stochastic optimization problems with a finite number of deterministic constraints. We investigate the convergence of the method, which is based on a stochastic approximation approach with random stopping ...
Caroline Geiersbach +2 more
openaire +3 more sources
We discuss several algorithms for solving a network optimization problem of simultaneous routing and bandwidth allocation in green networks in a decomposed way, based on the augmented Lagrangian. The problem is difficult due to the nonconvexity caused by
Anthony Chukwuemeka Nwachukwu +1 more
doaj +1 more source
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
We introduce a framework for designing primal methods under the decentralized optimization setting where local functions are smooth and strongly convex. Our approach consists of approximately solving a sequence of sub-problems induced by the accelerated augmented Lagrangian method, thereby providing a systematic way for deriving several well-known ...
Arjevani, Yossi +5 more
openaire +2 more sources

