Sandia National Laboratories
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Timestamp:
09/01/09 13:06:16 (8 years ago)
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dmdunla
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  • WikiStart

    v1 v2  
    1 = Welcome to Trac 0.11.1 = 
     1= Poblano Matlab Toolbox Version 1.0 = 
    22 
    3 Trac is a '''minimalistic''' approach to '''web-based''' management of 
    4 '''software projects'''. Its goal is to simplify effective tracking and handling of software issues, enhancements and overall progress. 
     3Poblano is a Matlab toolbox of large-scale algorithms for nonlinear optimization. The algorithms in Poblano require only first-order derivative information (e.g., gradients for scalar-valued objective functions), and therefore can scale to very large problems. Poblano is a set of general purpose methods for solving unconstrained nonlinear optimization methods. It has been applied to standard test problems covering a range of application areas. The driving application for Poblano development has been tensor decompositions in data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.). 
    54 
    6 All aspects of Trac have been designed with the single goal to  
    7 '''help developers write great software''' while '''staying out of the way''' 
    8 and imposing as little as possible on a team's established process and 
    9 culture. 
    10  
    11 As all Wiki pages, this page is editable, this means that you can 
    12 modify the contents of this page simply by using your 
    13 web-browser. Simply click on the "Edit this page" link at the bottom 
    14 of the page. WikiFormatting will give you a detailed description of 
    15 available Wiki formatting commands. 
    16  
    17 "[wiki:TracAdmin trac-admin] ''yourenvdir'' initenv" created 
    18 a new Trac environment, containing a default set of wiki pages and some sample 
    19 data. This newly created environment also contains  
    20 [wiki:TracGuide documentation] to help you get started with your project. 
    21  
    22 You can use [wiki:TracAdmin trac-admin] to configure 
    23 [http://trac.edgewall.org/ Trac] to better fit your project, especially in 
    24 regard to ''components'', ''versions'' and ''milestones''.  
    25  
    26  
    27 TracGuide is a good place to start. 
    28  
    29 Enjoy! [[BR]] 
    30 ''The Trac Team'' 
     5Poblano optimizers find local minimizers of scalar-valued objective functions taking vector inputs. The current version of Poblano supports only unconstrained optimization. The gradient (i.e., first derivative) of the objective function is required for all Poblano optimizers. The optimizers converge to a stationary point where the gradient is approximately zero. A line search satisfying the strong Wolfe conditions is used to guarantee global convergence of the Poblano optimizers. The optimization methods in Poblano include several nonlinear conjugate gradient methods (Fletcher-Reeves, Polak-Ribiere, Hestenes-Stiefel, steepest descent), a limited-memory quasi-Newton method using BFGS updates to approximate second-order derivative information, and a truncated Newton method using finite differences for second-order derivative information. 
    316 
    327== Starting Points ==