Line search acceleration of iterative methods

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Convergence of Line Search A-Function Methods

Recently, the Line Search A-Function (LSAF) was introduced as a technique that generalizes Extended Baum-Welch (EBW) algorithm for functions of continuous probability densities. It was shown that LSAF provides a unified scheme for a large class of optimization problems that involve discriminant objective functions of different probability densities or sparse representation objective functions s...

متن کامل

On the divergence of line search methods

We discuss the convergence of line search methods for minimization. We explain how Newton’s method and the BFGS method can fail even if the restrictions of the objective function to the search lines are strictly convex functions, the level sets of the objective functions are compact, the line searches are exact and the Wolfe conditions are satisfied. This explanation illustrates a new way to co...

متن کامل

GPU Acceleration of Iterative Clustering

Iterative clustering algorithms based on Lloyds algorithm (often referred to as the k-means algorithm) have been used in a wide variety of areas, including graphics, computer vision, signal processing, compression, and computational geometry. We describe a method for accelerating many variants of iterative clustering by using programmable graphics hardware to perform the most computationally ex...

متن کامل

Weights in block iterative methods

In this paper we introduce a sequential block iterative method and its simultaneous version with op-timal combination of weights (instead of convex combination) for solving convex feasibility problems.When the intersection of the given family of convex sets is nonempty, it is shown that any sequencegenerated by the given algorithms converges to a feasible point. Additionally for linear feasibil...

متن کامل

Accelerated Line-search and Trust-region Methods

A line-search method, based on retractions, is formulated on Riemannian manifolds. This Riemannian line-search method, as well as a previouslyproposed Riemannian trust-region method, are further generalized to accelerated line-search and trust-region methods, where the next iterate is allowed to be any point that produces at least as much decrease in the cost function as a fixed fraction of the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Linear Algebra and its Applications

سال: 1990

ISSN: 0024-3795

DOI: 10.1016/0024-3795(90)90205-q