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  21. ▒■▀ SINCE 2000 ▀■▒
  22. ▀ ▀
  23. ■ E A T P R E S E N T S ■
  24. IBM.ILOG.CPLEX.Optimizer.v12.6.Cracked-EAT
  25. ■ ■
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  28. ▓█▓█▄▀█▀░▀▓▀█▄ ██▌ RELEASE INFO ▐██ ▄█▀▓▀░▀█▀▄█▓█▓
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  38. ░▐█▌ ▒ ▒ ▐█▌░
  39. ░██ ▒ SUPPLIER ....: TEAM EAT ▒ ██░
  40. ▐█▌ ▒ PROG TYPE ...: SCIENTIFIC ▒ ▐█▌
  41. ██ ░ LANGUAGE ....: ENGLISH ░ ██
  42. █▌ RELEASE DATE.: 2014-02-24 ▐█
  43. █ ░ ░ █
  44. █ ░ CRACKER ......: TEAM EAT ░ █
  45. █ PROTECTION ...: DEMO-LIMITS █
  46. █ DIFFICULTY ...: GUESS! █
  47. █ █
  48. █ PACKAGER ....: TEAM EAT █
  49. █ FORMAT ......: ZIP/RAR █
  50. █ ARCHIVE NAME.: eatcoc6a.zip █
  51. █ No OF DISKS .: [XX/11] █
  52. █ █
  53. █ REQUIREMENTS .: WinXP/Vista/Win7/Win8 x86 █
  54. █ PRICE ........: $8,500.00 █
  55. █ WEBSITE.......: http://www-01.ibm.com/software/integration/ █
  56. █ optimization/cplex-optimizer/about/ █
  57. █ █
  58. █▌ ▐█
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  75. ▓█▓█▄▀█▀░▀▓▀█▄ ██▌ RELEASE NOTES ▐██ ▄█▀▓▀░▀█▀▄█▓█▓
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  87. ▐█▌ ░ ░ ▐█▌
  88. ██ ░ ░ ██
  89. █▌ ▐█
  90. █ Model business issues mathematically and solve them █
  91. █ with IBM ILOG CPLEX Optimizer's powerful algorithms █
  92. █ to produce precise and logical decisions. █
  93. █ █
  94. █ * Improve efficiency, quickly implement strategies, █
  95. █ and increase profitability. IBM ILOG CPLEX █
  96. █ Optimizer's mathematical optimization technology █
  97. █ enables smarter decision-making for efficient █
  98. █ resource utilization. █
  99. █ * Robust algorithms for demanding problems: IBM ILOG █
  100. █ CPLEX Optimizer has solved problems with millions █
  101. █ of constraints and variables. █
  102. █ * Industry-leading support: IBM has an impressive █
  103. █ rate of product improvement and ample support █
  104. █ resources to serve you. █
  105. █ * High performance: IBM ILOG CPLEX Optimizer █
  106. █ delivers the power needed to solve very large, █
  107. █ real-world optimization problems, as well as the █
  108. █ speed required for today's interactive █
  109. █ applications. █
  110. █ * Fundamental algorithms: IBM ILOG CPLEX Optimizer █
  111. █ provides flexible, high-performance optimizers for █
  112. █ solving linear programming, quadratic programming, █
  113. █ quadratically constrained programming and mixed █
  114. █ integer programming problems. █
  115. █ * Robust and reliable: A large installed base helps █
  116. █ us make IBM ILOG CPLEX Optimizer better with each █
  117. █ release. Every new feature is tested on the █
  118. █ biggest, most diverse model library in the world. █
  119. █ * Flexible interfaces: IBM ILOG CPLEX Optimizer █
  120. █ gives developers a variety of ways to interact █
  121. █ with it during the development and deployment of █
  122. █ their applications. █
  123. █ * IBM ILOG CPLEX Optimizer is a component of IBM █
  124. █ ILOG CPLEX Optimization Studio, which combines and █
  125. █ simplifies IBM's product offerings for █
  126. █ optimization model development, solving, and █
  127. █ deployment. It offers in a single package, all the █
  128. █ functionality that was previously available among █
  129. █ an array of product and component configurations, █
  130. █ making all tools and technologies available during █
  131. █ prototyping and development. █
  132. █ * IBM ILOG CPLEX CP Optimizer provides a █
  133. █ complementary optimization technology based on █
  134. █ constraint programming that is especially suitable █
  135. █ for detailed scheduling and other difficult █
  136. █ combinatorial problems. █
  137. █ * Latest version offers faster MIP solutions, █
  138. █ especially on multiprocessor machines, improved █
  139. █ connectors to 3rd party modeling tools, new █
  140. █ graphical views in the IDE including Gantt charts █
  141. █ and cumulative functions, improved syntactical █
  142. █ support for detailed scheduling models, and █
  143. █ additional API support for constraint programming █
  144. █ search and propagation. █
  145. █ █
  146. █ █
  147. █ IBM ILOG CPLEX Optimizer features █
  148. █ █
  149. █ Automatic and dynamic algorithm parameter control. █
  150. █ IBM ILOG CPLEX Optimizer automatically determines █
  151. █ "smart" settings for a wide range of algorithm █
  152. █ parameters, usually resulting in optimal linear █
  153. █ programming solution performance. However, for a █
  154. █ more hands-on approach, dozens of parameters may be █
  155. █ manually adjusted, including algorithmic strategy █
  156. █ controls, output information controls, optimization █
  157. █ duration limits, and numerical tolerances. █
  158. █ █
  159. █ Fast, automatic restarts from an advanced basis. █
  160. █ Large problems can be modified, and then solved █
  161. █ again in a fraction of the original solution time. █
  162. █ █
  163. █ A variety of problem modification options, such as: █
  164. █ * The ability to add and delete variables █
  165. █ * The ability to add and delete constraints █
  166. █ * The ability to modify objective, right-hand side, █
  167. █ bound and matrix coefficients █
  168. █ * The ability to change constraint types █
  169. █ █
  170. █ A wide variety of input/output options, such as: █
  171. █ * Problem files: read/write MPS files, IBM ILOG █
  172. █ CPLEX Optimizer LP files, MPS basis and revise █
  173. █ files, binary problem/basis files █
  174. █ * Log files: session information and various █
  175. █ solution reports █
  176. █ * Solution files: ASCII and binary solution files █
  177. █ * IBM ILOG CPLEX Optimizer messages: Each message █
  178. █ type (such as RESULTS, WARNINGS or ERRORS) can be █
  179. █ directed to specified files, or completely █
  180. █ suppressed. █
  181. █ █
  182. █ Post solution information and analysis, including: █
  183. █ * Objective function value █
  184. █ * Solution variable and slack values █
  185. █ * Constraint dual values (shadow prices) █
  186. █ * Variable reduced costs █
  187. █ * Right-hand side, objective function, and bound █
  188. █ sensitivity ranges █
  189. █ * Basic variables and constraints █
  190. █ * Solution infeasibilities (if any exist) █
  191. █ * Iteration/node count, solution time, process data █
  192. █ * Infeasibility (IIS) finder for diagnosing problem █
  193. █ infeasibilities █
  194. █ * Feasibility optimizer for automatic correction of █
  195. █ infeasible models █
  196. █▌ ▐█
  197. ██ ██
  198. ▐█▌ ▐█▌
  199. ■█████▄▄▄░ ░▄▄▄▄███▒█■
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  202. ▄█▄ ▄██▀▀▓██▀ ▄██████▄▄ ▄▄▄▄▄▄▄▄█████▄ ▄███▀ ▄
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  205. ▄█▓▀ ▀░▐▓█▀▀▓▌░ ░▐▓▀▀█▓▌░ ▄▓█▀▀
  206. ░ ▀▓█▄░ COMMENTS ░▄█▓▀ ▀░
  207. ███▓ ▓███
  208. ▄▄██▓▀ ▀▓██▄▄
  209. ▄ ▓▀▀▀ ▀▀▀▓ ▄
  210. ▄ ▀ ▀ ▄
  211. ▄ ▄
  212. ▄ Do NOT distribute this release outside of the scene ▄
  213. ▄ Keep the scene alive and secure! ▄
  214. ▄ ▄
  215. All good progs start as freeware,
  216. then things get worse ... ;-)
  217. ▀ ▀
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  229. ▓█▓█▄▀█▀░▀▓▀█▄ ██▌ INSTALLATION NOTES ▐██ ▄█▀▓▀░▀█▀▄█▓█▓
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  236. ▒▐▓▓ ▀██▀ ▌ ▐ ▀██▀ ▓▓▌▒
  237. ▒▐▓█ ▓ ■ `TLB' ■ ▓ █▓▌▒
  238. ▒▐██ ▒ Try it, Like it, Buy it! ▒ ██▌▒
  239. ░▐█▌ ▒ ▒ ▐█▌░
  240. ░██ ██░
  241. ▐█▌ ░ ░ ▐█▌
  242. ██ ░ ░ ██
  243. █▌ ░ ░ ▐█
  244. █ 1. Unpack to a folder of your choice. █
  245. █ 2. Start using it directly as it's already fixed. █
  246. █ e.g. cplex\bin\x86_win32\cplex.exe █
  247. █ █
  248. █ That's all. Have fun using it! ;) █
  249. █ █
  250. █ ___________________________________________________________________ █
  251. █ █
  252. █ Always remember to block applications (or go off line) from calling █
  253. █ home 'during install'. Once installed, disable 'check for automatic █
  254. █ updates' option if available, so that you don't get it blacklisted. █
  255. █▌ ▐█
  256. ██▄ ▄██
  257. ■█████▄▄▄░ ░▄▄▄▄███▒█■
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  260. ▄█▄ ▄██▀▀▓██▀ ▄██████▄▄ ▄▄▄▄▄▄▄▄█████▄ ▄███▀ ▄
  261. ▄▄▓█▀▀▀▀▀▀██▄▄▄ ▀██▓▀ ▀███▓█▄▄▄▄▄▄▄▄▄▄▄▄▄▓▄██▀ ▀██████████▀▀▀▀▓ ▄▄█▀
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  273. ▓ ■▀▓▓▄ █▌ ▐█ ▄▓▓▀■ ▓
  274. ▄██▄ ██▌ ▐▓ EAT CONTACT ▓▌ ▐██ ▄██▄
  275. ▓▐▄▀█▄▀▓▄■ █ █ ■▄▓▀▄█▀▄▌▓
  276. ▒▐▓▓ ▀██▀ ▐▌ ▐▌ ▀██▀ ▓▓▌▒
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  280. ██ ▒ ▒ ██
  281. ▒ ██▌ ▒ ▒ ▐██ ▒
  282. ▒ ███ ░ EAT is a closed group. We would consider only: ░ ███ ▒
  283. ▒ ███ ░ ░ ███ ▒
  284. ░ ██▌ ░ ■ Excellent reverse-engineers ░ ▐██ ░
  285. ░▐██ ░ ■ Experienced coders/scripters ░ ██▌░
  286. ░██▌ ░ ■ Supplier of quality software who can do so on a ░ ▐██░
  287. ▐██ ░ frequent basis (retail date not older then 6 months) ░ ██▌
  288. ██▌ ▐██
  289. ██▌ We do *NOT* want... ▐██
  290. ██ ■ Distros, Shells, etc ██
  291. █▌ ░ ■ Carders <You aren't what the scene is & bring even more ░ ▐█
  292. █ security risk> █
  293. █ ░ ■ Couriers ░ █
  294. █ █
  295. █▌ ▐█
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  300. ▄█▄ ▄██▀▀▓██▀ ▄██████▄▄ ▄▄▄▄▄▄▄▄█████▄ ▄███▀ ▄
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  308. ■ ■
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  311. ▓█▓█▄▀█▀░▀▓▀█▄ ██▌ EAT NEWS ▐██ ▄█▀▓▀░▀█▀▄█▓█▓
  312. ▐█▓▀ ▀█▓▄ ▐██ ██▌ ▄▓█▀ ▀▓█▌
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  315. ▓ ▀▓▓▄ ▀▄█▒▄■▄██▌ ▐██▄■▄▒█▄▀ ▄▓▓▀ ▓
  316. ▄██▄ ███■ ▀▓▀ ▐█▌ ▐█▌ ▀▓▀ ■███ ▄██▄
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  326. █ █
  327. █ :::::::::::::::::::::::::: █
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  334. ▀██▓████▓▄▄ ▄▄▓███████▓█▀
  335. ▀▀▓▓██▀███████▄▄▄ ░ ▄▀█████▓▓▀▀
  336. ▄█▄ ▄██▀▀▓██▀ ▄██████▄▄ ▄▄▄▄▄▄▄▄█████▄ ▄███▀ ▄
  337. ▄▄▓█▀▀▀▀▀▀██▄▄▄ ▀██▓▀ ▀███▓█▄▄▄▄▄▄▄▄▄▄▄▄▄▓▄██▀ ▀██████████▀▀▀▀▓ ▄▄█▀
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  344. ▓█▓█▄▀█▀░▀▓▀█▄ ██▌ GREETINGS ▐██ ▄█▀▓▀░▀█▀▄█▓█▓
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  357. ██ ░ ░ ██
  358. █▌ ░ ░ ▐█
  359. █ All our friends out there ... █
  360. █ █
  361. █ Respect goes out to the competition █
  362. █ and to those who keep the scene secure! █
  363. █ █
  364. █▌ ▐█
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  403. ███ ░ ∙ ∙ NFO LAST UPDATE ON 2009 ∙ ∙ ░ ███
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