Results 41 to 50 of about 1,522 (137)
The influence of inertia weight on the particle swarm optimization algorithm
Journal of Applied Mathematics and Computational Mechanics, 2018 The paper presents the use of the Particle Swarm Optimization (PSO) algorithm to find the shortest trajectory connecting two defined points while avoiding obstacles.
D. Cekus, D. Skrobek
semanticscholar +1 more source
An a posteriori error estimate for Symplectic Euler approximation of optimal control problems [PDF]
, 2014 This work focuses on numerical solutions of optimal control problems. A time discretization error representation is derived for the approximation of the associated value function. It concerns Symplectic Euler solutions of the Hamiltonian system connected
Karlsson, Jesper +4 more
core +2 more sources
A new distributionally robust reward-risk model for portfolio optimization
Open MathematicsA new distributionally robust ratio optimization model is proposed under the known first and second moments of the uncertain distributions. In this article, both standard deviation (SD) and conditional value-at-risk (CVaR) are used to measure the risk ...
Zhou Yijia, Xu Lijun
doaj +1 more source
Infant Mental Health Journal: Infancy and Early Childhood, Volume 45, Issue 2, Page 234-246, March 2024.Abstract Improving parental sensitivity is an important objective of interventions to support families. This study examined reliability and validity of parental sensitivity ratings using a novel package of an e‐learning tool and an interactive decision tree provided through a mobile application, called the OK! package.
Mirte L. Forrer +3 more
wiley +1 more source
Shrinkage Function And Its Applications In Matrix Approximation
, 2017 The shrinkage function is widely used in matrix low-rank approximation, compressive sensing, and statistical estimation. In this article, an elementary derivation of the shrinkage function is given. In addition, applications of the shrinkage function are
Boas, Toby +4 more
core +1 more source
Segmentation by Elastica Energy with L1 and L2 Curvatures: a Performance Comparison
Numerical Mathematics: Theory, Methods and Applications, 2019 In this paper, we propose an algorithm based on augmented Lagrangian method and give a performance comparison for two segmentation models that use the Land L-Euler’s elastica energy respectively as the regularization for image segmentation.
X. Tai
semanticscholar +1 more source
Rating alternatives from pairwise comparisons by solving tropical optimization problems
, 2015 We consider problems of rating alternatives based on their pairwise comparison under various assumptions, including constraints on the final scores of alternatives.
Krivulin, Nikolai
core +1 more source
Finite element estimates for a class of nonlinear variational inequalities
, 1991 International Journal of Mathematics and Mathematical Sciences, Volume 16, Issue 3, Page 503-509, 1993.
Muhammad Aslam Noor
wiley +1 more source
Well-Posedness, Conditioning and Regularization of Minimization, Inclusion and Fixed-Point Problems [PDF]
, 1998 AMS subject classification: 65K10, 49M07, 90C25, 90C48.Well-posedness, conditioning and regularization of fixed-point problems are studied in connexion with well-posedness, conditioning and Tikhonov regularization of minimization and inclusion problems ...
Lemaire, B.
core
Characterizations of Super-regularity and its Variants
, 2018 Convergence of projection-based methods for nonconvex set feasibility problems has been established for sets with ever weaker regularity assumptions.
A Daniilidis +10 more
core +1 more source