Download Gurobi Optimization Gurobi for AMPL v4.0.0 crack by EAT

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             Gurobi.Optimization.Gurobi.for.AMPL.v4.0.0.Cracked-EAT      



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░██    ▒  SUPPLIER ....: TEAM EAT                                       ▒    ██░
▐█▌    ▒  PROG TYPE ...: SCIENTIFIC                                     ▒    ▐█▌
██     ░  LANGUAGE ....: ENGLISH                                        ░     ██
█▌        RELEASE DATE.: 2010-11-22                                           ▐█
█      ░                                                                ░      █
█     ░   CRACKER ......: TEAM EAT                                       ░     █
█         PROTECTION ...: DEMO-LIMITS                                          █
█         DIFFICULTY ...: GUESS!                                               █
█                                                                              █
█         PACKAGER ....: TEAM EAT                                              █
█         FORMAT ......: ZIP/RAR                                               █
█         ARCHIVE NAME.: eatga400.zip                                          █
█         No OF DISKS .: [XX/01]                                               █
█                                                                              █
█         REQUIREMENTS .: WinXP/Vista/Win7                                     █
█         PRICE ........: $8,500.00                                            █
█         WEBSITE.......: http://www.gurobi.com                                █
█                         http://www.ampl.com                                  █
█                                                                              █
█▌                                                                            ▐█
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█▌                                                                            ▐█
█             NOTE: This release requires AMPL, so just RTFM. :)               █
█                                                                              █
█                                  **********                                  █
█             The Gurobi Optimizer is a state-of-the-art solver                █
█             for linear programming (LP), quadratic programming               █
█             (QP) and mixed-integer programming (MILP and MIQP).              █
█             It was designed from the ground up to exploit modern             █
█             multi-core processors. Every Gurobi license allows               █
█             parallel processing, and the Gurobi Parallel                     █
█             Optimizer is deterministic: two separate runs on the             █
█             same model will produce identical solution paths.                █
█                                                                              █
█             For solving LP and QP models, the Gurobi Optimizer               █
█             includes high-performance implementations of the                 █
█             primal simplex method, the dual simplex method, and              █
█             a parallel barrier solver. For MILP and MIQP models,             █
█             the Gurobi Optimizer incorporates the latest methods             █
█             including cutting planes and powerful solution                   █
█             heuristics. All models benefit from advanced                     █
█             presolve methods to simplify models and slash solve              █
█             times.                                                           █
█                                                                              █
█             The Gurobi Optimizer is written in C and is                      █
█             accessible from several languages. In addition to a              █
█             powerful, interactive Python interface and a                     █
█             matrix-oriented C interface, we provide                          █
█             object-oriented interfaces from C++, Java, Python,               █
█             and the .NET languages. These interfaces have all                █
█             been designed to be lightweight and easy to use,                 █
█             with the goal of greatly enhancing the accessibility             █
█             of our products. And since the interfaces are                    █
█             lightweight, they are faster and use less memory                 █
█             than other standard interfaces. Our online                       █
█             documentation (Quick Start Guide, Example Tour and               █
█             Reference Manual) describes the use of these                     █
█             interfaces.                                                      █
█                                                                              █
█             Gurobi is also available through several powerful                █
█             third-party modeling systems including AIMMS, AMPL,              █
█             FRONTLINE SOLVERS, GAMS, MPL, OptimJ and TOMLAB.                 █
█                                                                              █
█             Version 4.0 of the Gurobi Optimizer includes a                   █
█             number of enhancements. Users of previous versions               █
█             may need to make a few minor changes to their                    █
█             existing programs. Here are the new features, and                █
█             the likely changes required to existing programs.                █
█                                                                              █
█             New features:                                                    █
█             * Quadratic programming: The Gurobi Optimizer now                █
█               supports models with quadratic objective                       █
█               functions. The new version includes primal                     █
█               simplex, dual simplex, and parallel barrier                    █
█               optimizers for continuous QP models, and a                     █
█               parallel branch-and-cut solver for Mixed Integer               █
█               Quadratic Programming (MIQP) models.                           █
█             * Concurrent optimizer: The Gurobi Optimizer now                 █
█               allows you to run multiple algorithms                          █
█               simultaneously when solving a linear continuous                █
█               model on a multi-core machine. The optimizer                   █
█               returns when the first algorithm solves the model.             █
█               We include both a standard concurrent optimizer                █
█               and a deterministic concurrent optimizer. The                  █
█               latter returns the exact same solution every time              █
█               you run it, while the former can sometimes return              █
█               different optimal solutions from one run to the                █
█               next. The former can sometimes be significantly                █
█               faster.                                                        █
█             * MIP performance: The MIP solver is faster in                   █
█               release 4.0. These improvements do not require any             █
█               parameter changes.                                             █
█             * LP performance: The simplex and barrier solvers                █
█               are slightly faster in release 4.0. We have also               █
█               improved the numerical stability of the primal                 █
█               simplex solver and the barrier crossover                       █
█               algorithm.                                                     █
█             * Delayed MIP strategy change: The Gurobi Optimizer              █
█               now gives you the option to change a few MIP                   █
█               parameters in the middle of the optimization in                █
█               order to dynamically shift the search strategy.                █
█               Specifically, two new parameters, ImproveStartGap              █
█               and ImproveStartTime, allow you to specify when                █
█               the algorithm should modify the values of a few                █
█               parameters that control the intensity of the MIP               █
█               heuristics. By setting one or both of these                    █
█               parameters to non-default values, you can cause                █
█               the MIP solver to switch from its standard                     █
█               parameter settings, where it tries to strike a                 █
█               balance between finding better solutions and                   █
█               proving that the current solution is optimal, to a             █
█               set of parameter values that focus almost entirely             █
█               on finding better solutions.                                   █
█             * Support for Visual Studio 2010: Gurobi Optimizer               █
█               now supports Microsoft Visual Studio 2010. This                █
█               change only affects C++ users, who will find new               █
█               libraries gurobi_c++2010md.lib,                                █
█               gurobi_c++2010mdd.lib, gurobi_c++2010mt.lib, and               █
█               gurobi_c++2010mtd.lib in the lib directory of the              █
█               Gurobi distribution.                                           █
█             * Explicit license release in Java and .NET: The new             █
█               version includes an explicit method for releasing              █
█               a Gurobi license. You no longer need to rely on                █
█               the garbage collector to reclaim unused licenses.              █
█             * New methods, attributes, parameters, and error                 █
█               codes: To support the new features in Gurobi 4.0,              █
█               we have added several new methods, attributes,                 █
█               parameters, and error codes. You can learn more                █
█               about these in the {Gurobi Reference Manual}.                  █
█                                                                              █
█             New methods:                                                     █
█             * New C methods for managing Q: the C interface                  █
█               includes three new routines, GRBaddqpterms,                    █
█               GRBdelq, and GRBgetq. These allow you to add,                  █
█               delete, and retrieve quadratic objective terms,                █
█               respectively.                                                  █
█             * Quadratic expressions: the object oriented                     █
█               interfaces include a new quadratic expression                  █
█               class, GRBQuadExpr, which can be used to build                 █
█               quadratic objective functions.                                 █
█             * getObjective/setObjective: the object oriented                 █
█               interfaces include new GRBModel methods that allow             █
█               you to retrieve the current objective function as              █
█               a linear or quadratic expression, and allow you to             █
█               set the objective equal to a linear or quadratic               █
█               expression.                                                    █
█             * getValue: the object oriented interfaces include a             █
█               new getValue method that allows you to compute the             █
█               value of a GRBLinExpr or GRBQuadExpr object for                █
█               the current solution.                                          █
█             * License release: the Java and .NET interfaces                  █
█               include a new release method that allows you to                █
█               release the license held by an environment                     █
█               immediately, instead of having to wait for the                 █
█               garbage collector to reclaim the GRBEnv object.                █
█                                                                              █
█             New attributes:                                                  █
█             * IsQP: model attribute that indicates whether the               █
█               model has any quadratic terms.                                 █
█             * NumQNZs: model attribute that returns the number               █
█               of quadratic terms in the objective function.                  █
█                                                                              █
█             New parameters:                                                  █
█             * Method: the previous LPMethod parameter has been               █
█               renamed to Method. This new parameter controls the             █
█               algorithm used to solve continuous linear and                  █
█               quadratic models. We have added two new options:               █
█               concurrent and deterministic concurrent. This                  █
█               parameter also selects the algorithm used to solve             █
█               the root node of a MIP model.                                  █
█             * NodeMethod: chooses the algorithm used to solve                █
█               node relaxations in a MIP model.                               █
█             * ModKCuts: controls the generation of mod-k cuts.               █
█             * ImproveStartGap: allows you to specify the                     █
█               optimality gap at which the MIP solver resets a                █
█               few MIP heuristics parameters in order to shift                █
█               the attention of the MIP solver to finding the                 █
█               best possible feasible solution.                               █
█             * ImproveStartTime: allows you to specify the                    █
█               elapsed time at which the MIP solver resets a few              █
█               MIP heuristics parameters in order to shift the                █
█               attention of the MIP solver to finding the best                █
█               possible feasible solution.                                    █
█             * PreMIQPMethod: chooses the presolve transformation             █
█               performed on MIQP models.                                      █
█             * PSDTol: sets a limit on the amount of diagonal                 █
█               perturbation that the optimizer is allowed to do               █
█               on the Q matrix for a quadratic model. If a larger             █
█               perturbation is required, the optimizer will                   █
█               terminate with an GRB_ERROR_Q_NOT_PSD error.                   █
█                                                                              █
█             New error codes:                                                 █
█             * GRB_ERROR_Q_NOT_PSD: This new error code is                    █
█               returned when you attempt to solve a QP model                  █
█               where the Q matrix is not positive semi-definite               █
█               (meaning there exists an x for which x'Qx ). Note              █
█               that the optimizer will always try to add a small              █
█               perturbation to the diagonal to correct small PSD              █
█               violations. This error will be reported when the               █
█               required perturbation is too large (as controlled              █
█               by the new PSDTol parameter).                                  █
█▌                                                                            ▐█
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           ▄   Do NOT distribute this release outside of the scene   ▄
          ▄             Keep the scene alive and secure!              ▄
         ▄                                                             ▄
                       All good progs start as freeware,                      
                         then things get worse ... ;-)                        

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   ▓█▓█▄▀█▀░▀▓▀█▄          ██▌ INSTALLATION NOTES ▐██          ▄█▀▓▀░▀█▀▄█▓█▓
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▒▐██   ▒                    Try it, Like it, Buy it!                    ▒   ██▌▒
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█             1. Unpack to your AMPL folder.                                   █
█             2. Start using it as it's already fixed.                         █
█                                                                              █
█             That's all. Have fun using it! ;-)                               █
█                                                                              █
█      ___________________________________________________________________     █
█                                                                              █
█      Always remember to block applications (or go off line) from calling     █
█      home 'during install'. Once installed, disable 'check for automatic     █
█      updates' option if available, so that you don't get it blacklisted.     █
█▌                                                                            ▐█
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▒ ███  ░     EAT is a closed group. We would consider only:             ░  ███ ▒
▒ ███  ░                                                                ░  ███ ▒
░ ██▌  ░     ■ Excellent reverse-engineers                              ░  ▐██ ░
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■█████▄▄▄░                                                           ░▄▄▄▄███▒█■
  ▀██▓████▓▄▄                                                     ▄▄▓███████▓█▀
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■█████▄▄▄░                                                           ░▄▄▄▄███▒█■
  ▀██▓████▓▄▄                                                     ▄▄▓███████▓█▀
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█                        All our friends out there ...                         █
█                                                                              █
█                      Respect goes out to the competition                     █
█                     and to those who keep the scene secure!                  █
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          ███ ░      ∙ ∙ NFO LAST UPDATE ON 2009 ∙ ∙           ░ ███
         ▐██  ░                                                 ░  ██▌
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FILE_ID.DIZ

EAT's crack for Gurobi Optimization Gurobi for AMPL v4.0.0


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