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    Analytica Optimizer

    Vendor: Analytica
    Analytica Optimizer is the highest edition level of Analytica. In includes all Enterprise features, plus the addition of powerful solver engines.It discovers decision values that minimize or maximize any quantified objective, subject to constraints.Designed with advanced simulation, modeling and optimization capabilities in mind, it allows for powerful decision modeling an analytics. Using a visual modeling approach you can design your own models as well as applications that can be shared with your peers.
    Your price: $4,745.25
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    Products specifications
    Min. OS Requirement Windows XP
    Language English
    Add-In No
    Available for Mac No, requires Parallels Emulation
    Price includes 1st year maintenance Yes
    Requires other Software? No
    Scripting Support Built In
    Simulation Monte Carlo
    VBA Support No
    CSV Support Yes
    XML Support Yes
    User Defined Distributions Yes
    Distribution Gallery 27 Base Distributions
    Monte Carlo Sampling Yes
    Latin HyperCube Sampling No
    Sensitivity Analysis Yes
    Tornado Analysis No
    Precision Control Yes
    Correlation Yes
    Correlation Methods Normal Copula Only (Iman- Conover)
    SIP Math Support Yes
    Charting Built In
    Charts can be customized Yes
    Automated Reporting No
    Multi-Core Support Yes
    Developper Kit Yes
    Example Models Yes
    Network Licensing Available No
    Data Base Integration Built In
    Integration with other tools Excel
    Supported DBs ODBC Sources
    User Defined Distribution Library No
    Linear Optimization Methods Yes
    Non-Linear Optimization Methods Yes
    Requirements / Soft Constraints 8,000 constraints for LP and convex QP problems and 250 constraints for NLP problems
    Max Requirements Unlimited
    Max Decision Variables 8,000 variables for LP and convex QP problems and 500 variables for NLP problems.
    PSI support no
    Solution Filtering yes
    Efficient Frontier yes
    Scenario Analysis Support yes
    Convergence Testing yes
    Genetic Algorithims yes
    Ranges for Decision Variables yes
    Main Solver Engine Optquest and other available engines XPRESS from FICO, Gurobi, Mosek, KNITRO and OptQuest.
    Optimize multiple statistics yes
    Optimization Goal Types Minimize, Maximize & Set Target
    Static Optimization Support yes
    Dynamic Optimization Support no
    Stochastic Optimization Support yes