Title
Self-concordant functions for optimization on smooth manifolds
Abstract
This paper discusses self-concordant functions on smooth manifolds. In Euclidean space, such functions are utilized extensively as barrier functions in interior-point methods for polynomial time optimization algorithms. Here, the self-concordant function is carefully defined on a differential manifold in such a way that the properties of self-concordant functions in Euclidean space are preserved. A Newton decrement is defined and analyzed for this class of functions. Based on this, a damped Newton algorithm is proposed for the optimization of self-concordant functions. Under reasonable technical assumptions such as geodesic completeness of the manifold, this algorithm is guaranteed to fall in any given small neighborhood of the optimal solution in a finite number of steps. The existence and uniqueness of the optimal solution is also proved in this paper. Hence, the optimal solution is a global one. Furthermore, it ensures a quadratic convergence within a neighborhood of the minimal point. This neighborhood can be specified in terms of the Newton decrement. The computational complexity bound of the proposed approach is also given explicitly. This complexity bound is shown to be of the order \(O(-{\rm ln}(\epsilon)),\) where \(\epsilon\) is the desired precision. Some interesting optimization problems are given to illustrate the proposed concept and algorithm.
Year
DOI
Venue
2007
10.1007/s10898-006-9095-z
Journal of Global Optimization
Keywords
Field
DocType
geodesy,geodesics,newton raphson method,barrier function,computational complexity,euclidean space,polynomials,quadratic convergence,polynomial time,energy,optimization problem,newton method,global optimization,interior point method
Mathematical optimization,Global optimization,Polynomial,Mathematical analysis,Euclidean space,Rate of convergence,Time complexity,Optimization problem,Manifold,Mathematics,Newton's method
Journal
Volume
Issue
ISSN
38
3
1573-2916
ISBN
Citations 
PageRank 
0-7803-8682-5
2
0.76
References 
Authors
6
3
Name
Order
Citations
PageRank
Danchi Jiang121615.57
JOHN B. MOORE241284.61
Huibo Ji321.09