Results 51 to 60 of about 146,876 (221)
A Primal-Dual Quasi-Newton Method for Constrained Optimization [PDF]
, 1984 One of the most important developments in nonlinear constrained optimization in recent years has been the recursive quadratic programming (RQP) method suggested by Wilson, Han, Powell and many other researchers. It is clear that the role of the auxiliary
Nakayama, H., Orimo, M.
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International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Geometrically nonlinear static analysis of materially imperfect composite doubly curved shells is investigated via the generalised differential quadrature method. The effects of both shear and thickness deformation are considered through a thickness‐ and shear‐deformable third‐order theory formulated in curvilinear coordinates, while the ...
Behrouz Karami +3 more
wiley +1 more source
Dynamic Modeling and Simulation of Morphing Wing Aircraft Considering Rigid‐Elastic Coupling Effects
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT During the morphing process, the dynamic modeling of the morphing wing aircraft presents the characteristics of rigid‐elastic coupling effects, moving boundaries, and low computational efficiency. Meanwhile, parameters such as aerodynamic forces/moments, center of pressure, center of mass, and moment of inertia would also change significantly,
Xu Zha +5 more
wiley +1 more source
Some diagonal preconditioners for limited memory quasi-Newton method for large Scale optimization [PDF]
, 2013 One of the well-known methods in solving large scale unconstrained optimization is limited memory quasi-Newton (LMQN) method. This method is derived from a subproblem in low dimension so that the storage requirement as well as the computation cost can be
Abu Hassan, Malik +3 more
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A pilot variational coupled reanalysis based on the CESAM climate model
Quarterly Journal of the Royal Meteorological Society, EarlyView.Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
A New Sparse Quasi-Newton Update Method
Sultan Qaboos University Journal for Science [SQUJS], 2012 Based on the idea of maximum determinant positive definite matrix completion, Yamashita proposed a sparse quasi-Newton update, called MCQN, for unconstrained optimization problems with sparse Hessian structures. Such an MCQN update keeps the sparsity structure of the Hessian while relaxing the secant condition.
Minghou Cheng, Yu‐Hong Dai, Rui Diao
openaire +2 more sources
Rapid Communications in Mass Spectrometry, EarlyView.ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley +1 more source
Quasi-Newton Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods [PDF]
, 2018 In this paper, we deal with matrix-free preconditioners for nonlinear conjugate gradient (NCG) methods. In particular, we review proposals based on quasi-Newton updates, and either satisfying the secant equation or a secant-like equation at some of the previous iterates.
Mehiddin Al-Baali +3 more
openaire +1 more source
Advances in research on impulse hydro‐turbine technology
River, EarlyView.Abstract To accelerate the development of impulse hydro‐turbines and support the efficient utilization of hydropower resources in Southwest China, this paper examines the background, historical development, and research progress of impulse hydro‐turbines.
Xiaochao Li +7 more
wiley +1 more source
Positive-definite memoryless symmetric rank one method for large-scale unconstrained optimization [PDF]
, 2011 Memoryless quasi-Newton method is exactly the quasi-Newton method for which the approximation to the inverse of Hessian, at each step, is updated from a positive multiple of identity matrix. Hence, its search direction can be computed without the storage
Abu Hassan, Malik, Leong, Wah June
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