In this paper we propose a derivative-free optimization algorithm based on conditional moments for finding the maximizer of an objective function. The proposed algorithm does not require calculation or approximation of any order derivative of the objective function. The step size in iteration is determined adaptively according to the local geometrical feature of the objective function and a pre...

We present an efficient algorithm for fitting three dimensional (3-D) Active Appearance Models (AAMs). We do so, by introducing a 3-D extension of a recently proposed method that is based on the inverse compositional image alignment algorithm. We demonstrate its applicability for the segmentation of the left ventricle in short axis cardiac MRI. We perform experiments to evaluate the speed and s...

Most of the current algorithms for solving distributed online optimization problems are based on first-order method, which simple in computation but slow convergence. Newton’s algorithm with fast convergence speed needs to calculate Hessian matrix and its inverse, leading computationally complex. A step is proposed this paper, constructs a positive definite by using information objective functi...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 3 August 2020Accepted: 26 July 2021Published online: 25 October 2021Keywordsoptimal transport, numerical analysis, calculus variationsAMS Subject Headings49Q22, 49M15, 49M25, 65K10Publication DataISSN (print): 1052-6234ISSN (online): 1095-7189Publisher: Society for Indust...

We proposed earlier an optimization approach to reactive ow control where the objective of the control is to maximize the total utility of all sources over their transmission rates. The control mechanism is derived as a gradient projection algorithm to solve the dual problem. In this paper we extend the algorithm to a scaled gradient projection. The diagonal scaling matrix approximates the diag...