Information about Lumina Analytica Optimizer
It is designed to handle a wide array of decision variables, which can be continuous, semi-continuous, discrete (Integer or Boolean), or mixed. What sets this tool apart is its seamless integration of optimization capabilities with all of Analytica’s core features, including Monte Carlo simulation and Intelligent Arrays. This integration simplifies the model structure, improves visual accessibility, and transforms it into a complete decision solution that combines solving power, scalability, and ease of use, unlike any other optimization platform.
Features and Overview of Lumina Analytica Optimizer
- It always keeps model structure and assumptions in plain view, providing users with a clear understanding of the model’s inner workings. This transparency is crucial for effective decision-making.
- It combines optimization with sensitivity analysis, helping users identify the inputs that have the most immediate impact on their objective value. This feature enables better-informed decision-making and strategy development.
- Users can effortlessly add new scenarios for separate optimizations by adding a scenario dimension to any input array. This flexibility empowers users to explore a wide range of “what-if” scenarios.
- Analytica introduces Constraint nodes, allowing users to specify arrays of constraints using simple inequality expressions. This feature enhances the precision and customization of optimization models.
- One of the standout qualities is its seamless integration with Analytica’s core features. This compatibility allows users to implement advanced methods with the same ease as building standard Analytica models.
- Users can define the objective as the expected value (mean) or fractile percentage threshold of a sampled distribution result, enabling probabilistic decision-making.
- This integration allows users to define constraints and objectives that evolve for models with recursive dependencies, making it suitable for dynamic decision environments.
- Optimize Monte Carlo samples individually using Intelligent Array logic. This feature allows users to create a distribution of optimization results, adding a layer of uncertainty analysis to their decision models.
System Requirements and Technical Details
- Operating System: Windows Vista/Windows 7/Windows 8/Windows 10/Windows 11
- Processor: 2.4 GHz
- Memory: 2 GB RAM
- DirectX: Version 10
- Storage: 5 GB available space
- Sound Card: DirectX compatible sound card
List of Available Lumina Analytica Optimizer Series
The following is a list of the Lumina Analytica Optimizer series available at the Phoenix3dart store:
- Lumina Analytica Optimizer
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Important to Know Before Purchase!
- This is a Digital item, no CD/DVD or physical package will be shipped
- Orders are sent via EMAIL, fast and FREE SHIPPING
- Easy installation with a provided guide
- Software is guaranteed to work 100% and can be played
- Full Activation (LIFETIME) – Not a Trial – Not a Demo
- Cannot be Updated
- Can be run Offline, anywhere, anytime
- Used on Windows devices (for macOS, please use BootCamp)
UPC: 27939611000634 | EAN: 939611000634
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