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- Lumina Analytica Optimizer v4.5.3
- This is the full cracked version of the software. Download, extract, install, enjoy.
- Inside the archive there is "crack" folder wich contains everything you need to crack the software.
- Download link:
- https://safelinking.net/p/f716efc696
- 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. Or, in cases where an objective quantity is not present, it finds feasible solutions within constraint boundaries. It handles Linear Programming, Quadratic Programming, and general Non-Linear Programming, and automatically distinguishes among all of them. Decision variables can be continuous, semi-continuous, discrete (Integer or Boolean), or mixed. Best of all, Analytica optimizer seamlessly integrates optimization capability with all of Analytica's core features including Monte Carlo simulation and Intelligent Arrays, simplifying model structure and improving visual accessibility. It's a complete decision solution that combines solving power, scalability, and ease of use like no other optimization platform can.
- Should optimization models be intuitively represented, transparent, scalable, and easy to build? We think they should. But traditional optimization interfaces fail to meet all of these goals.
- Spreadsheet optimizations are suitable for smaller problems, but they are inherently two-dimensional and difficult to scale.
- Algebraic modeling languages are much better than the straight programming notation that preceded them, but their lack of visual context can still make complex models inscrutable to anyone but the model designer.
- Analytica makes optimization modeling as simple and intuitive as it should be at all levels of complexity. Influence diagrams and Intelligent Arrays keep the entire analysis path accessible, from modeling to decision making. It accomplishes this in several ways:
- Keeping model structure and assumptions in plain view at all times
- Combining optimization with sensitivity analysis to identify the inputs that have the most immediate influence on your objective value
- Allowing you to add new scenarios for separate optimizations, simply by adding a scenario dimension to any input array
- Adding Constraint nodes to allow you to specify arrays of constraints using simple inequality expressions
- Allowing you to scale existing models easily using Intelligent Arrays
- .
- Full integration with Uncertainty, Dynamic equations, and Intelligent Arrays
- Analytica’s core features including Monte Carlo sampling, Intelligent Arrays, and Dynamic definitions are all compatible with optimization. This allows you to implement advanced methods in the same intuitive manner as with all Analytica models:
- Perform Stochastic Optimization by simply defining the objective as the expected value (mean) or fractile percentage threshold of a sampled distribution result.
- Optimize Monte Carlo samples individually using Intelligent Array logic. It is easy to create a distribution of optimization results.
- Define constraints using dynamic expressions for models with recursive dependency.
- ...and much more
- Additional features include:
- Efficient internal representation of sparse matrices for large LP and QP optimizations
- Easy identification of feasible subsets of constraints for LPs.
- Genetic algorithms for non-smooth NLPs
- User access to all internal engine settings and status flags
- Automatic identification of problem type and optimization engine, or adherence to user overrides
- Modular model design, allowing you to share portions of models and distribute modeling activities among individuals and teams.
- Multiple starting points for NLP searches, determined automatically or specified by user as an array of initial guess vectors.
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