Class CDOptimizeSA

java.lang.Object
gov.nih.mipav.view.renderer.WildMagic.AAM.CDOptimizeBase
gov.nih.mipav.view.renderer.WildMagic.AAM.CDOptimizeSA

public class CDOptimizeSA extends CDOptimizeBase
This is the Java modified version of C++ active appearance model API (AAM_API). It is modified with a subset of required functions for automatic MRI prostate segmentation. AAM-API LICENSE - file: license.txt This software is freely available for non-commercial use such as research and education. Please see the full disclaimer below. All publications describing work using this software should cite the reference given below. Copyright (c) 2000-2003 Mikkel B. Stegmann, mbs@imm.dtu.dk IMM, Informatics invalid input: '&' Mathematical Modelling DTU, Technical University of Denmark Richard Petersens Plads, Building 321 DK-2800 Lyngby, Denmark http://www.imm.dtu.dk/~aam/ REFERENCES Please use the reference below, when writing articles, reports etc. where the AAM-API has been used. A draft version the article is available from the homepage. I will be happy to receive pre- or reprints of such articles. /Mikkel ------------- M. B. Stegmann, B. K. Ersboll, R. Larsen, "FAME -- A Flexible Appearance Modelling Environment", IEEE Transactions on Medical Imaging, IEEE, 2003 (to appear) ------------- 3RD PART SOFTWARE The software is partly based on the following libraries: - The Microsoft(tm) Vision Software Developers Kit, VisSDK - LAPACK DISCLAIMER This software is provided 'as-is', without any express or implied warranty. In no event will the author be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any non-commercial purpose, and to alter it, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. 3. This notice may not be removed or altered from any source distribution. -- No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the author or IMM. This software is provided by Mikkel B. Stegmann and IMM ``as is'' and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall IMM or Mikkel B. Stegmann be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. $Revision: 1.4 $ $Date: 2003/04/23 14:49:15 $ IMM, Department of Mathematical Modelling Technical University of Denmark, Building 321 DK-2800 Lyngby, Denmark http://www.imm.dtu.dk/~diva author: Rune Fisker Header-file for the simulated annealing optimization class. Simulated annealing [1,2] is implemented with the Metroplis algorithm [3], random walk and temperature scheme T_t+1 = k T_t [1] [1] Kirkpatrick, S. and Gellant, C. D. and Vecchi, M. P., Optimization by simulated annealing, Science, 1983, vol. 220, pp.671-680 [2] Cerny, V., Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm}, Jour. of Optimization Theory and Applications, 1985, vol. 45, pp. 41-45 [3] Metropolis, N. and Rosenbluth, A. W. and Rosenbluth, M. N. and Teller A. H. and Teller E., Equations of state calculations by fast computing machines, Jour. Chemical Physics, 1953, 21, 1087-1092
Author:
Ruida Cheng
  • Field Details

    • RAND_MAX

      public static int RAND_MAX
    • eSeedToRandom

      public int eSeedToRandom
    • eseedNo

      public static int eseedNo
    • eseedRandom

      public static int eseedRandom
    • essedConstant

      public static int essedConstant
    • m_dStartTemperature

      private double m_dStartTemperature
      start temperature.
    • m_dK

      private double m_dK
      decrease factor in the temperature scheme.
    • m_eSeedToRand

      private int m_eSeedToRand
      flag for random seed in random walk.
  • Constructor Details

    • CDOptimizeSA

      public CDOptimizeSA()
      constructor.
  • Method Details

    • dispose

      public void dispose()
      dispose memory.
    • Name

      public String Name()
      name of optimization method.
      Overrides:
      Name in class CDOptimizeBase
      Returns:
    • OptMethod

      public int OptMethod()
      optimizaitn method type.
      Overrides:
      OptMethod in class CDOptimizeBase
    • SetStartTemperature

      public void SetStartTemperature(double dStartTemperature)
      start temperature.
    • StartTemperature

      public double StartTemperature()
      get start tempature.
    • SetDecFac

      public void SetDecFac(double dK)
      decrease factor in the temperature scheme.
    • DecFac

      public double DecFac()
      get decreasing factor.
    • RandomSeed

      public int RandomSeed()
      flag for random seed in random walk.
    • SetRandomSeed

      public void SetRandomSeed(int eSeedToRand)
      get random seeding flag.
    • Minimize

      public int Minimize(CDVector x, CDOptimizeFuncBase pFuncEvalBase)
      minimization using steepest annealing.
      Specified by:
      Minimize in class CDOptimizeBase
      Parameters:
      x -
      pFuncEvalBase -
      Returns:
    • Gauss

      public double Gauss()
      make randomize gauss.