Results 151 to 160 of about 13,755 (295)
A Conjugate Gradient Algorithm with Function Value Information and N-Step Quadratic Convergence for Unconstrained Optimization. [PDF]
PLoS One, 2015 Li X, Zhao X, Duan X, Wang X.
europepmc +1 more source
A nonmonotone conic trust region method based on line search for solving unconstrained optimization
, 2008 Shaojian Qu, Qingpu Zhang, Yueting Yang
openalex +1 more source
A Globally Convergence Spectral Conjugate Gradient Method for Solving Unconstrained Optimization Problems [PDF]
, 2013 Basim A. Hassan
openalex +1 more source
Sustainable Development, EarlyView.ABSTRACT The purpose of this study is to examine the effect of constitutional power concentration on adaptation to climate change in 113 countries observed between 1995 and 2023 using the quantile regression method. The results reveal that the concentration of constitutional power hinders countries' adaptation to climate change through inequalities ...
Simplice A. Asongu, Cherif Abdramane
wiley +1 more source
Unconstrained Optimization with MINTOOLKIT for GNU Octave [PDF]
, 2004 The paper documents MINTOOLKIT for GNU Octave. MINTOOLKIT provides functions for minimization and numeric differentiation. The main algorithms are BFGS, LBFGS, and simulated annealing.
openaire +2 more sources
Small Science, EarlyView.This study investigates the artificial intelligence‐driven method for predicting the state of health of lithium metal batteries based on electrochemical impedance spectroscopy (EIS) data. Four machine learning algorithms achieve accuracy exceeding 95%, identifying phase shift as a critical feature for prediction and establishing a connection between ...
Jinsoo Yoon +7 more
wiley +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization [PDF]
, 2013 Yuanying Qiu +3 more
openalex +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source