Results 81 to 90 of about 46,156 (218)
A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation
A parallel-in-time algorithm based on an augmented Lagrangian approach is proposed to solve four-dimensional variational (4D-Var) data assimilation problems.
Rao, Vishwas, Sandu, Adrian
core +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
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
This study focuses on formulation of the Augmented Lagrangian and application of the Uzawa's algorithm to solve the homogenization problem of microscopic periodic media as in composites.
Ngoc-Trung Nguyen +2 more
doaj +1 more source
An Exact Method for Reliable Shortest Path Problems With Correlation
ABSTRACT Shortest path problems often arise in contexts where travel times are uncertain. In these settings, reliable paths are often valued more than paths with lower expected travel times. This has led to several variants of reliable shortest path problems (RSPP) that handle travel time reliability differently. We propose an algorithmic framework for
Esteban Leiva +3 more
wiley +1 more source
An augmented Lagrangian multi-scale dictionary learning algorithm
Learning overcomplete dictionaries for sparse signal representation has become a hot topic fascinated by many researchers in the recent years, while most of the existing approaches have a serious problem that they always lead to local minima.
Ye Meng +4 more
doaj
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
Augmented Lagrangian method for a total variation-based model for demodulating phase discontinuities
In this work, we reformulate the method presented in App. Opt. 53:2297 (2014) as a constrained minimization problem using the augmented Lagrangian method.
Ricardo Legarda-Saenz +1 more
doaj +1 more source
A penalty method for PDE-constrained optimization in inverse problems
Many inverse and parameter estimation problems can be written as PDE-constrained optimization problems. The goal, then, is to infer the parameters, typically coefficients of the PDE, from partial measurements of the solutions of the PDE for several right-
Herrmann, Felix J., van Leeuwen, Tristan
core +1 more source
Stabilized Finite Elements for Incompressible, Stationary Navier–Stokes Flows on Manifolds
ABSTRACT A surface finite element method with residual‐based stabilization for stationary Navier–Stokes flows on curved manifolds is introduced. The mixed formulation in stress‐divergence form leads to a system of equations that has a saddle‐point structure.
Michael Wolfgang Kaiser +1 more
wiley +1 more source

