Download Ziena Optimization KNITRO v6.0 crack by EAT
| Added to site | 2009-07-26 |
| Rating | 91/100 |
| Votes | 21 |
Ziena_Optimization_KNITRO_v6_crack.zip (153948 bytes)
| name | size | compressed |
|---|---|---|
| EAT.nfo | 29205 | 4899 |
| FILE_ID.DIZ | 46 | 46 |
| Ziena_Optimization_KNITRO_v6_crack.exe | 166400 | 148539 |
EAT.nfo
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■ E A T P R E S E N T S ■
Ziena.Optimization.KNITRO.v6.0.Cracked-EAT
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░██ ▒ SUPPLIER ....: TEAM EAT ▒ ██░
▐█▌ ▒ PROG TYPE ...: SCIENTIFIC ▒ ▐█▌
██ ░ LANGUAGE ....: ENGLISH ░ ██
█▌ RELEASE DATE.: 07/26/09 ▐█
█ ░ ░ █
█ ░ CRACKER ......: TEAM EAT ░ █
█ PROTECTION ...: DEMO-LIMITS █
█ DIFFICULTY ...: GUESS! █
█ █
█ PACKAGER ....: TEAM EAT █
█ FORMAT ......: ZIP/RAR █
█ ARCHIVE NAME.: eatzkn60.zip █
█ No OF DISKS .: [XX/01] █
█ █
█ REQUIREMENTS .: WinXP/2003/Vista/2008 █
█ PRICE ........: $5000.00 █
█ WEBSITE.......: http://www.ziena.com █
█ █
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█ NOTE: This release require AMPL or Matlab interface. █
█ █
█ ********** █
█ █
█ KNITRO is a solver for nonlinear optimization. It is █
█ the most powerful and versatile solver on the █
█ market, providing three state-of-the-art algorithms. █
█ The broad range of behaviors exhibited by nonlinear █
█ problems makes this an essential feature. █
█ █
█ KNITRO is designed for large problems with █
█ dimensions running into the hundred thousands. It is █
█ effective for solving linear, quadratic, and █
█ nonlinear smooth optimization problems, both convex █
█ and nonconvex. It is also effective for nonlinear █
█ regression, problems with complementarity █
█ constraints (MPCCs or MPECs), and mixed-integer █
█ programming (MIPs), particular convex mixed integer, █
█ nonlinear problems (MINLP). KNITRO is highly █
█ regarded for its robustness and efficiency. █
█ █
█ KNITRO provides a wide range of user options, and █
█ offers interfaces to C, C++, Fortran, Java, AMPL, █
█ AIMMS, GAMS, MPL, Mathematica, MATLAB Microsoft █
█ Excel, and LabVIEW. Continuing active development █
█ and support ensures that KNITRO will remain the █
█ leader in nonlinear optimization. █
█ █
█ KNITRO provides 3 state-of-the-art █
█ algorithms/solvers for solving problems. Each █
█ algorithm addresses the full range of nonlinear █
█ optimization problems, and each is constructed for █
█ maximal large-scale efficiency. █
█ █
█ * Interior-point Direct algorithm applies barrier █
█ techniques and directly factorizes the KKT matrix █
█ of the nonlinear system. It performs best on █
█ ill-conditioned problems. █
█ █
█ * Interior-point CG algorithm applies barrier █
█ techniques using the conjugate gradient method to █
█ solve KKT subproblems. It provides an alternative █
█ to the Interior-point Direct algorithm when the █
█ KKT factorization is impractical or inefficent to █
█ form. █
█ █
█ * Active Set algorithm combines classical active set █
█ principles with a novel linear programming █
█ subproblem to rapidly discover the set of binding █
█ constraints. It's behavior is significantly █
█ different from Interior-point algorithms, and it █
█ converges precisely to the active set to provide █
█ highly accurate sensitivity information. █
█ █
█ Every nonlinear optimization problem is unique, and █
█ it can be quite difficult to predict performance of █
█ any algorithm on a given problem. Choosing among █
█ KNITRO's three algorithms greatly increases the █
█ chances of solving your problem efficiently. █
█ █
█ KNITRO 6.0 introduces new features for solving █
█ optimization models (both linear and nonlinear) with █
█ binary or integer variables. The KNITRO mixed █
█ integer programming (MIP) code offers two algorithms █
█ for mixed-integer nonlinear programming (MINLP). The █
█ first is a nonlinear branch and bound method and the █
█ second implements the hybrid Quesada-Grossman method █
█ for convex MINLP. The KNITRO MINLP code is designed █
█ for convex mixed integer programming and is a █
█ heuristic for nonconvex problems. The MIP code also █
█ handles mixed integer linear programs (MILP) of █
█ moderate size. Many new user options beginning with █
█ "mip_*" have been added to offer user control over █
█ the MIP methods. In addition, the KNITRO multi-start █
█ generation of new start points is improved and the █
█ new user option "ms_maxbndrange" was added. See more █
█ details in the KNITRO 6.0 User's Manual and in the █
█ MINLP examples provided with the distribution. █
█▌ ▐█
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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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▒▐▓█ ▓ ■ `TLB' ■ ▓ █▓▌▒
▒▐██ ▒ Try it, Like it, Buy it! ▒ ██▌▒
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█▌ ░ ░ ▐█
█ 1. Unpack to a folder of your choice. █
█ 2. RTFM to interface it correctly with AMPL/Matlab. █
█ 3. Start using it as it's already fixed. █
█ █
█ That's all. Have fun using it! ;-) █
█▌ ▐█
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▒ ███ ░ EAT is a closed group. We would consider only: ░ ███ ▒
▒ ███ ░ ░ ███ ▒
░ ██▌ ░ ■ Excellent reverse-engineers ░ ▐██ ░
░▐██ ░ ■ Experienced coders/scripters ░ ██▌░
░██▌ ░ ■ Supplier of quality software who can do so on a ░ ▐██░
▐██ ░ frequent basis (retail date not older then 6 months) ░ ██▌
██▌ ▐██
██▌ We do *NOT* want... ▐██
██ ■ Distros, Shells, etc ██
█▌ ░ ■ Carders |
FILE_ID.DIZ
EAT's crack for Ziena Optimization KNITRO v6.0 |