Results 41 to 50 of about 1,666 (170)

Shape Derivatives of the Eigenvalues of the de Rham Complex for Lipschitz Deformations and Variable Coefficients: Part II

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this second part of our series of papers, we develop an abstract framework suitable for de Rham complexes that depend on a parameter belonging to an arbitrary Banach space. Our primary focus is on spectral perturbation problems and the differentiability of eigenvalues with respect to perturbations of the involved parameters. As a byproduct,
Pier Domenico Lamberti, Dirk Pauly, Michele Zaccaron   +2 more
wiley   +1 more source

Vector representations of graphs

, 1989
Let G be a simple graph with vertices 1, 2, …, n. We consider representations of G by nonzero vectors x1,x2,…,xn ϵRd such that for i≠j the inner product xi·xj is negative or zero according as vertex i is adjacent to or not adjacent to vertex j. The least
Parsons, T.D., Pisanski, Tomaž
core   +1 more source

Concomitant Gradient Effects Across Field Strengths and Gradient Amplitudes: Improved Estimation of Errors and Correction of Concomitant Dephasing and Diffusion Weighting

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Deleterious effects from concomitant gradients are amplified at lower field strengths and stronger gradients. We aimed to show the signal errors caused by concomitant gradients across a wide range of hardware configurations and propose corrections that can be applied during experimental design and analysis.
Viktor Olsson, Felix Mortensen, Emil Ljungberg, Frederik Testud, Ronnie Wirestam, Malwina Molendowska, Filip Szczepankiewicz   +6 more
wiley   +1 more source

Finite‐Time Disturbance Observer‐Based Nonlinear Robust Adaptive Control of Hydraulic Manipulator With Parameter Identification

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Hydraulic manipulators exhibit strong coupling, pronounced nonlinearities, and significant modeling uncertainties, which hinder high‐precision motion control. This paper proposes a finite‐time disturbance observer–based nonlinear robust adaptive control (RAC‐FTDO) framework enhanced by a physically consistent dynamic parameter identification ...
Tianyu Gao, Xianglong Liang, Wenxiang Deng, Jianyong Yao   +3 more
wiley   +1 more source

Hadamard Product Argument from Lagrange-Based Univariate Polynomials [PDF]

Hadamard product is a point-wise product for two vectors. This paper presents a new scheme to prove Hadamard-product relation as a sub-protocol for SNARKs based on univariate polynomials.
Jie Xie, Yuncong Hu, Yu Yu
core  

Hadamard Products of Projective Varieties

This monograph deals with the Hadamard products of algebraic varieties. A typical subject of study in Algebraic Geometry are varieties constructed from other geometrical objects.
Cristiano Bocci, Bocci, Cristiano, Carlini, Enrico, Enrico Carlini   +3 more
core   +1 more source

FAST ALGORITHMS FOR MATRIX COMPUTATION AND APPLICATIONS

, 2023
Matrix decompositions play a pivotal role in matrix computation and applications. While general dense matrix-vector multiplications and linear equation solvers are prohibitively expensive, matrix decompositions offer fast alternatives for matrices ...
Qiyuan Pang (17565405)
core   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris, A. Ntoumos, A. Berne, A. Hering, P. Juda, M. Boscacci, L. Clementi, U. Germann   +7 more
wiley   +1 more source

Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke, K. S. Adekeye, J.‐C. Malela‐Majika   +2 more
wiley   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source