News Release - Risk Solver V7.0 Fact SheetRisk Solver™ V7.0 Fact SheetINCLINE VILLAGE, NV -- April 27, 2007 -- Frontline Systems' new Risk Solver™, is the first new 'industrial strength' Monte Carlo simulation tool for Excel in 15 years. This fact sheet briefly summarizes its capabilities. A fully functional, free trial version can be downloaded at Frontline's Website www.solver.com. Special Capabilities: High-speed Interactive Simulation, support for Probability Management, breakthrough performance on simulation optimization, runtime support with Risk Solver Engine. Excel Versions and Features: Excel 2007, Excel 2003, Excel XP, Excel 2000 on Windows Vista, XP, 2000. Models may have unlimited worksheets, rows and columns in one workbook. Random Number Generators: Park-Miller, CMRG, WELL1024, Mersenne Twister. Sampling: Standard Monte Carlo, Latin Hypercube, Sobol numbers (randomized QMC). Probability Distributions:
Statistics and Risk Measures:
Correlation: Multiple rank-order correlation matrices for dissimilar distributions. Automatic adjustment to positive semidefinite matrices prioritizes user-specified correlations. Sensitivity Analysis: Tornado charts based on Moment Correlation or Rank Correlation. Error Filtering: Trials with errors are excluded from charts, statistics and percentiles. Normal or error trials can be displayed. Users can include/exclude trials satisfying any conditional tests. Charts: 2-D and 3-D charts of PDF, CDF, Reverse CDF for uncertain variables; Frequency, Cumulative Frequency, Reverse Cumulative Frequency, Sensitivity for uncertain functions, with colors, titles, legends, gridlines, axis labels and formatting. Automatic or manual bin counts. Distribution Fitting: Fit user-supplied data (for uncertain variables), or simulation results (for uncertain functions) to any of 27 continuous and discrete probability distributions, using Chi Square, Kolmogorov Smirnov or Anderson Darling goodness-of-fit tests. Display fitted overlay, P P, Q Q, and Difference charts. Excel Functions: 80 new functions for probability distributions, statistics and risk measures. VBA Object Model: Problem, Model, Solver, Engine, Parameter, Variable, Function, Statistic, Sparse Matrix, Distribution objects with a full set of properties and methods. |
