Results 21 to 30 of about 14,349 (287)
An accelerated conjugate gradient method for the Z-eigenvalues of symmetric tensors
We transform the Z-eigenvalues of symmetric tensors into unconstrained optimization problems with a shifted parameter. An accelerated conjugate gradient method is proposed for solving these unconstrained optimization problems.
Mingyuan Cao +3 more
doaj +1 more source
A new trust region method is presented, which combines nonmonotone line search technique, a self-adaptive update rule for the trust region radius, and the weighting technique for the ratio between the actual reduction and the predicted reduction.
Yunlong Lu +4 more
doaj +1 more source
In this paper, we first introduce a new algorithm which involves projecting each iteration to solve a split feasibility problem with paramonotone equilibria and using unconstrained convex optimization.
Q. L. Dong +4 more
doaj +1 more source
A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization
A new self-adaptive rule of trust region radius is introduced, which is given by a piecewise function on the ratio between the actual and predicted reductions of the objective function.
Yunlong Lu +3 more
doaj +1 more source
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou +4 more
wiley +1 more source
A THREE-TERM CONJUGATE GRADIENT METHOD FOR LARGE-SCALE MINIMIZATION IN ARTIFICIAL NEURAL NETWORKS
Conjugate Gradient (CG) methods are widely used for solving unconstrained optimization problems due to their efficiency and low memory requirements. However, standard CG methods may not always guarantee sufficient descent condition, which can impact ...
Umar A Omesa +7 more
doaj +1 more source
Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Real-life engineering designs often contain more than one conflicting objective function, which requires a multi ...
R. Venkata Rao, G.G. Waghmare
doaj +1 more source
The self‐healable ratiometric mechano‐fluorescent polyurethane (PU) organogel is constructed by incorporating a minor amount (ca. 1.5 wt.%) of the unconventional daisy chain rotaxane (as an artificial molecular muscle toughener) with specific sliding motions and ratiometric emission behaviors into the PU skeleton, which reveals the progressed intrinsic
Tu Thi Kim Cuc +7 more
wiley +1 more source
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang +5 more
doaj +1 more source
Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff +8 more
wiley +1 more source

