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JGuiB for Boomer 3.3.3

These programs are supplied 'as-is' with no warranty, express or implied.


Last Week downloads: 0
Total downloads: 145
  • Last Updated: Jul 23, 2008
  • License: Shareware $59.50
  • OS: Windows XP
  • Requirements: No special requirements

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For JGuiB for Boomer 3.3.3Publisher's description


JGuiB for Boomer is a Home & Education software developed by David W. A. Bourne. After our trial and test, the software is proved to be official, secure and free. Here is the official description for JGuiB for Boomer:

EditByBSEditor: These programs are supplied 'as-is' with no warranty, ExPress or implied. The user must satisfy themselves that correct output is being produced by each program. This is especially important when using user define models, subroutines or Batch files. The author can take no responsibility for any of the results from the programs or the use(s) made of the results from these programs. Any decisions based on the output of these programs are the responsibility of the user (not the author).

Boomer (and MULTIFORTE) are general purpose modeling and simulation programs. They will allow the estimation of parameter values by non-linear weighted least squares regression or the simulation of complex systems of differential equations. Parameter estimation can be by normal or Bayesian methods. Five techniques for approaching the minimum sums of weighted residuals (WSS) are included. These are the Gauss-Newton, Damped Gauss-Newton, Marquardt, Simplex, and the grid search methods. A comprehensive list of weighting schemes is included. The model to be analyzed can be entered as a system of integrated equations or as a system of differential equations. Differential equations are solved by a classical fourth order Runge-Kutta method, a fourth order Runge-Kutta-Gill method, a four/five Runge-Kutta-Fehlberg method, an Adams predictor-corrector method, or Gear's method for stiff equations with or without a PEDERV subroutine. Simulation with random error in parameters or data are also possible. A batch run can be repeated many times to assist in Monte Carlo type studies.
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