Results 11 to 20 of about 322,300 (286)
Maximum block improvement and polynomial optimization [PDF]
SIAM Journal on Optimization, 2012 Chen, Bilian +3 more
core +3 more sources
Optimal Polynomial Prediction Measures and Extremal Polynomial Growth [PDF]
Constructive Approximation, 2020 AbstractWe show that the problem of finding the measure supported on a compact set $$K\subset \mathbb {C}$$ K ⊂ C such that the variance of the least squares predictor by polynomials of degree at most n at a point $$z_0\in \mathbb {C}^d ...
Bos, Leonard Peter +2 more
openaire +4 more sources
Sparse noncommutative polynomial optimization
Mathematical Programming, 2021 This article focuses on optimization of polynomials in noncommuting variables, while taking into account sparsity in the input data. A converging hierarchy of semidefinite relaxations for eigenvalue and trace optimization is provided. This hierarchy is a noncommutative analogue of results due to Lasserre [SIAM J. Optim. 17(3) (2006), pp.
Klep, Igor, Magron, Victor, Povh, Janez
openaire +7 more sources
Axioms, 2023 This paper proposes a novel approach for analyzing the stability of polynomial fractional-order systems using the frequency-distributed fractional integrator model.
Hassan Yaghoubi +3 more
doaj +1 more source
ON OPTIMUM DESIGN OF FRAME STRUCTURES
Acta Polytechnica CTU Proceedings, 2020 Optimization of frame structures is formulated as a non-convex optimization problem, which is currently solved to local optimality. In this contribution, we investigate four optimization approaches: (i) general non-linear optimization, (ii) optimality ...
Marek Tyburec +3 more
doaj +1 more source
AIP Advances, 2023 A novel optimization method, namely, the elite opposition learning and polynomial steps-based sunflower optimization (EOPSFO) algorithm, has been proposed to solve engineering problems. To speed up the convergence, the elite opposition-based learning and
Liye Lv, Yongliang Yuan
doaj +1 more source
Improving the Targets’ Trajectories Estimated by an Automotive RADAR Sensor Using Polynomial Fitting
Applied Sciences, 2021 A way to reduce the uncertainty at the output of a Kalman filter embedded into a tracker connected to an automotive RADAR sensor consists of the adaptive selection of parameters during the tracking process. Different informed strategies for automatically
Georgiana Magu +2 more
doaj +1 more source
Optimization-Based Approaches to Control of Probabilistic Boolean Networks
Algorithms, 2017 Control of gene regulatory networks is one of the fundamental topics in systems biology. In the last decade, control theory of Boolean networks (BNs), which is well known as a model of gene regulatory networks, has been widely studied.
Koichi Kobayashi, Kunihiko Hiraishi
doaj +1 more source
Airfoil Robust Optimization Based on Convolutional Neural Network and Polynomial Chaos Method
Hangkong gongcheng jinzhan, 2021 In conventional airfoil optimization design method, the aerodynamic performance of the optimal airfoil can deteriorate at the non-design point, so it is necessary to study the airfoil robust optimization method.An airfoil robustness design method based ...
GAO Yuan +4 more
doaj +1 more source
Essentially optimal sparse polynomial multiplication [PDF]
Proceedings of the 45th International Symposium on Symbolic and Algebraic Computation, 2020 12 ...
Giorgi, Pascal +2 more
openaire +3 more sources