Click here to Skip to main content
13,631,100 members
Click here to Skip to main content

Tagged as

Stats

24.1K views
737 downloads
19 bookmarked
Posted 14 Dec 2012
Licenced MIT

Derivative-free nonlinear optimization for .NET and Java

Announcing standalone implementations of derivative-free nonlinear optimizers for .NET and Java platforms
/*
 * jcobyla
 * 
 * The MIT License
 *
 * Copyright (c) 2012 Anders Gustafsson, Cureos AB.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files 
 * (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, 
 * publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, 
 * subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF 
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE 
 * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION 
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * 
 * Remarks:
 * 
 * The original Fortran 77 version of this code was by Michael Powell (M.J.D.Powell @ damtp.cam.ac.uk)
 * The Fortran 90 version was by Alan Miller (Alan.Miller @ vic.cmis.csiro.au). Latest revision - 30 October 1998
 */
package com.cureos.numerics;

/**
 * Interface for calculation of objective function and constraints in COBYLA2 optimization.
 * 
 * @author Anders Gustafsson, Cureos AB.
 */
public interface Calcfc {
    /**
     * The objective and constraints function evaluation method used in COBYLA2 minimization.
     * @param n Number of variables.
     * @param m Number of constraints.
     * @param x Variable values to be employed in function and constraints calculation.
     * @param con Calculated function values of the constraints.
     * @return Calculated objective function value.
     */
    double Compute(int n, int m, double[] x, double[] con);
}

By viewing downloads associated with this article you agree to the Terms of Service and the article's licence.

If a file you wish to view isn't highlighted, and is a text file (not binary), please let us know and we'll add colourisation support for it.

License

This article, along with any associated source code and files, is licensed under The MIT License

Share

About the Author

Anders Gustafsson, Cureos
CEO Cureos AB
Sweden Sweden
I am the owner of Cureos AB, a software development and consulting company located in Uppsala, Sweden. The company's main focus is in developing software for dose-response analysis and optimization of large patient treatment materials, primarily using the .NET framework. In my Ph.D. thesis I outlined a general optimization framework for radiation therapy, and I have developed numerous tools for radiotherapy optimization and dose-response modeling that have been integrated into different treatment planning systems.

You may also be interested in...

Pro
Permalink | Advertise | Privacy | Cookies | Terms of Use | Mobile
Web01-2016 | 2.8.180712.1 | Last Updated 19 Dec 2012
Article Copyright 2012 by Anders Gustafsson, Cureos
Everything else Copyright © CodeProject, 1999-2018
Layout: fixed | fluid