Results 91 to 100 of about 4,201 (221)
Maximum‐Entropy‐Based Meshless Modeling of Surface‐Tension‐Driven Large Deformation
ABSTRACT Soft material modeling is challenging due, among others, to the substantial structural changes these materials undergo. In this context, meshless methods offer a promising alternative to overcome the limitations of established mesh‐based approximations such as finite elements. However, they introduce new challenges.
Rodrigo Castillo‐Acuna +2 more
wiley +1 more source
Midpoint Derivative-Based Closed Newton-Cotes Quadrature
A novel family of numerical integration of closed Newton-Cotes quadrature rules is presented which uses the derivative value at the midpoint. It is proved that these kinds of quadrature rules obtain an increase of two orders of precision over the ...
Weijing Zhao, Hongxing Li
doaj +1 more source
ABSTRACT Quantum annealing is emerging as a practical tool for large‐scale combinatorial optimization. We map continuum displacements and element densities to binary variables, turning both deformation analysis and topology optimization into quadratic unconstrained binary optimization (QUBO) problems that run on today's annealers.
Rio Honda +5 more
wiley +1 more source
A Sequential Quadratic Numerical Optimization Technique to Compute Critical Flutter Speeds
ABSTRACT A stable sequential quadratic numerical optimization technique is proposed to compute critical flutter speeds without resorting to complex algebra. The solution of the traditional eigenproblem stated in the frequency domain, and whose complex conjugate eigenvalues provide insights on the stability of the dynamic aeroelastic response, is ...
Alfredo R. de Faria
wiley +1 more source
Quadrature Based Neural Network Learning of Stochastic Hamiltonian Systems
Hamiltonian Neural Networks (HNNs) provide structure-preserving learning of Hamiltonian systems. In this paper, we extend HNNs to structure-preserving inversion of stochastic Hamiltonian systems (SHSs) from observational data.
Xupeng Cheng, Lijin Wang, Yanzhao Cao
doaj +1 more source
Quadrature formulas and taylor series of secant and tangent [PDF]
Second-order quadrature formulas and their fourth-order expansions are derived from the Taylor series of the secant and tangent functions. The errors of the approximations are compared to the error of the midpoint approximation.
Yuri Dimitrov +2 more
doaj
Schematic diagram of the whale optimization algorithm (WOA)–optimized fuzzy proportional–integral–derivative (PID) controller. The WOA is employed to dynamically tune the scaling factor expressions and fuzzy control parameters (a(e)a(e), a(ec)a(ec), βpβp, βiβi), as well as the initial PID gains (kp0kp0, ki0ki0), based on the error (ee) and its ...
Xiaosong Tian +7 more
wiley +1 more source
The error norm of quadrature formulae
This paper surveys the methods for computation of the norms of the error term functionals of quadrature formulas covering Gauss, Gauss-Lobatto, Gauss-Radau, Gauss-Kronrod and Fejér type quadratures.
openaire +2 more sources
Operating a Contextual Stern–Gerlach Apparatus
We reappraise the Stern–Gerlach experiment in view of the contextual monitoring of a cavity QED system output. The dynamical collapse of a macroscopic coherent‐state superposition for the cavity field, allowing for a binary outcome in the “spin” degree of freedom, is complementary to the persistence of quantum interference, after passing through ...
Th. K. Mavrogordatos
wiley +1 more source
Computing the matrix exponential with the double exponential formula
This article considers the computation of the matrix exponential eA{{\rm{e}}}^{A} with numerical quadrature. Although several quadrature-based algorithms have been proposed, they focus on (near) Hermitian matrices.
Tatsuoka Fuminori +3 more
doaj +1 more source

