Results 121 to 130 of about 2,364,396 (151)
Constrained Optimization Involving Expensive Function Evaluations: A Sequential Approach [PDF]
This paper presents a new sequential method for constrained non-linear optimization problems.The principal characteristics of these problems are very time consuming function evaluations and the absence of derivative information.
Brekelmans, R.C.M. +3 more
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Global Graph Surrogates and Neural Graph Elements for Computational Mechanics
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley +1 more source
ABSTRACT We consider optimal control of the heat equation where the control variable appears linearly as a boundary control. We establish switching times optimization for bang–bang controls with multiple switching times. Particularly, representations of variational derivatives of the state and the cost w.r.t. switching times are given.
Georg Vossen
wiley +1 more source
Feedback Linearisation with State Constraints
ABSTRACT Feedback Linearisation (FBL) is a widely used technique that applies feedback laws to transform input‐affine nonlinear control systems into linear control systems, allowing for the use of linear controller design methods such as pole placement.
Songlin Jin, Yuanbo Nie, Morgan Jones
wiley +1 more source
ABSTRACT The design of compliant mechanisms with integrated actuation requires consistent treatment of structural topology, actuator dimensions, and actuator placement. This work presents a coupled optimization framework based on modal formulations that combines the optimization of structural topology and linear actuators into a unified design approach.
Alexander Nowak, Alexander Hasse
wiley +1 more source
Abstract Purpose Surface guided radiotherapy (SGRT) provides nonionizing motion monitoring but lacks direct correlation with internal dosimetric changes. Purely data‐driven models for surface‐to‐internal deformation prediction often yield biomechanically implausible results.
Xixue Tang, Minmin Qiu, Yongjin Deng
wiley +1 more source
Hidden Convexity in Partially Separable Optimization [PDF]
The paper identifies classes of nonconvex optimization problems whose convex relaxations have optimal solutions which at the same time are global optimal solutions of the original nonconvex problems. Such a hidden convexity property was so far limited to
Laurent, M., Ben-Tal, A., Hertog, D. den
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ABSTRACT Gridded climate reanalysis datasets can be viewed as image cubes, yet chemometric decomposition methods remain underutilized in climate data analysis. This study applied pixel‐based Multivariate Curve Resolution–Alternating Least Squares (MCR‐ALS) with a trilinearity constraint to ERA5 precipitation data over the Iberian Peninsula (1940–2024).
Stefan Platikanov +2 more
wiley +1 more source
We present a Jetson Nano‐based ear‐biometric identification system combining Haar‐cascade ear cropping with Vision Transformer and YOLOv5; ViT outperformed YOLOv5 (selected for deployment), achieving 79.3% accuracy and real‐time operation (˜16.4 FPS) on the AUSTEARID205X10 dataset.
Shamim Akhter +7 more
wiley +1 more source
Efficiency of coordinate descent methods on huge-scale optimization problems [PDF]
In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector operations are very expensive.
NESTEROV, Yurii
core

