Results 81 to 90 of about 43,906 (221)

Fully‐Constrained Variable Projection for Water‐Fat Models

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter, Jonathan Stelter, Louis Peyratoux, Dimitrios C. Karampinos, Oliver Bieri   +4 more
wiley   +1 more source

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene   +2 more
wiley   +1 more source

Quadratic and nonlinear programming problems solving and analysis in fully fuzzy environment

Alexandria Engineering Journal, 2015
This paper presents a comprehensive methodology for solving and analyzing quadratic and nonlinear programming problems in fully fuzzy environment. The solution approach is based on the Arithmetic Fuzzy Logic-based Representations, previously founded on ...
Walaa Ibrahim Gabr
doaj   +1 more source

A globally and quadratically convergent algorithm with efficient implementation for unconstrained optimization [PDF]

Computational and Applied Mathematics, 2014
In this paper, an efficient modified Newton type algorithm is proposed for nonlinear unconstrianed optimization problems. The modified Hessian is a convex combination of the identity matrix (for steepest descent algorithm) and the Hessian matrix (for Newton algorithm). The coefficients of the convex combination are dynamically chosen in every iteration.
openaire   +3 more sources

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Image Noise Reduction and Solution of Unconstrained Minimization Problems via New Conjugate Gradient Methods

Mathematics
The conjugate gradient (CG) directions are among the important components of the CG algorithms. These directions have proven their effectiveness in many applications—more specifically, in image processing due to their low memory requirements.
Bassim A. Hassan, Issam A. R. Moghrabi, Thaair A. Ameen, Ranen M. Sulaiman, Ibrahim Mohammed Sulaiman   +4 more
doaj   +1 more source

A quasi-Newton proximal splitting method [PDF]

, 2012
A new result in convex analysis on the calculation of proximity operators in certain scaled norms is derived. We describe efficient implementations of the proximity calculation for a useful class of functions; the implementations exploit the piece-wise ...
Becker, Stephen, Fadili, M. Jalal
core   +4 more sources

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

Southern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

Left-deep join order selection with higher-order unconstrained binary optimization on quantum computers

Frontiers in Computer Science
Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database optimization and data management.
Valter Uotila
doaj   +1 more source