Poblano v1.0 : a Matlab toolbox for gradient-based optimization.

Dunlavy, Daniel M. ; Acar, Evrim (Sandia National Laboratories, Livermore, CA) ; Kolda, Tamara Gibson (Sandia National Laboratories, Livermore, CA)

关键词: OPTIMIZATION;    IMAGE PROCESSING;    COMPUTERS;    COMPUTER CODES;    PROGRAMMING Image processing.;    Image analysis.;    Calculus of tensors.;   

DOI  :  10.2172/989350
RP-ID  :  SAND2010-1422
PID  :  OSTI ID: 989350
Others  :  TRN: US201019%%606

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

We present Poblano v1.0, a Matlab toolbox for solving gradient-based unconstrained optimization problems. Poblano implements three optimization methods (nonlinear conjugate gradients, limited-memory BFGS, and truncated Newton) that require only first order derivative information. In this paper, we describe the Poblano methods, provide numerous examples on how to use Poblano, and present results of Poblano used in solving problems from a standard test collection of unconstrained optimization problems.