Containers & SubModels

|

Models Illustrating the Use of Containers and SubModels

All the models assigned to the selected category are listed below.

You can filter the list by entering keywords or phrases into the search field:

  • Markov Process Rainfall Model

    This model simulates a Markov process that randomly switches between a wet state and a dry state to simulate rainfall given some key historic statistics.

  • Random Sequence Generation

    This model addresses the need to randomly order a given number of indexed items

  • Annual Demand Forecast Submodel

    This model uses a submodel to estimate a possible shortfall for the coming year in order to set a supply curtailment if needed.

  • Dam Breach Risk

    Monte Carlo Simulation of the Dam Breach algorithm to calculate risk of failure

  • Diving Bell

    Simulation of a diving bell released at a specified depth and moving towards the surface where it emerges above the water

  • Pre-Processing Time Series Data

    Uses SubModels to pre-process (and plot) historic time series data

  • Multiple Catchment Runoff

    Watershed runoff is calculated for three catchments using the same function but different inputs

  • Grinding Mill Circuit

    This reliability model illustrates a typical closed circuit grinding mill circuit, used in many mine processing plants.

  • Time Series Analysis

    This model provides an example of calculating statistics for a data time series.

  • Time History Statistics

    This model provides examples of two different methods which can be used to generate statistics for time histories.

  • Scatterplot

    This model plots paired data for equivalent time intervals on the same scatterplot.

  • Probability Mass Function (PMF)

    This model creates a histogram from time series values and uses it to create a PMF of the data.

  • Probabilistic Detention Pond Model

    This model presents a pond discharge versus pond capacity optimization problem.

  • Project Simulator

    This model illustrate how conditional containers can be used to simulate projects.

  • FDA Approval Process

    This model simulates the process of obtaining FDA approval for a new drug.

  • Time Series Data Preprocessing

    In this example, a SubModel is used to calculate average monthly rainfall amounts from a Time Series element containing rainfall rate data

  • Population Model Objects

    This example illustrates an efficient way (using cloned containers) to model multiple objects of the same type without having to manually reimplement identical model logic.

  • Mastermind in GoldSim

    This model shows an implementation of the classic game Mastermind

  • Polynomial Root Finder

    This model compares the bisection and secant methods for finding roots of 2nd order polynomials (i.e. of the form C1*x^2 + C2*x + C3).

  • Rainfall Generator Calibration

    Using the GoldSim optimization module, a rainfall generator is calibrated using historical data

  • Gauss-Newton Trend Line Fitting

    This model illustrates how to fit a trend line to data using the Gauss-Newton method.

 

Making Better Decisions In An Uncertain World