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  2. Dragon City - Wikipedia

    en.wikipedia.org/wiki/Dragon_City

    Dragon City is a 2012 free-to-play social network game developed and published by Socialpoint. First released for Facebook, the game has since been ported to mobile devices and Microsoft Windows. In Dragon City, players collect, breed, and raise dragons, which can then be used to battle other players in both single-player and multiplayer modes ...

  3. Escape Velocity Nova - Wikipedia

    en.wikipedia.org/wiki/Escape_Velocity_Nova

    Escape Velocity Nova (a.k.a. EV Nova or EVN) is a video game developed by Ambrosia Software in collaboration with ATMOS. It is the third game in the Escape Velocity series of space trading and combat games. It was released on March 19, 2002 for Mac OS X and Mac OS 9, and later ported to Windows and released on July 11, 2003.

  4. Player's Option: Skills & Powers - Wikipedia

    en.wikipedia.org/wiki/Player's_Option:_Skills_...

    Cliff Ramshaw reviewed Player's Option: Skills & Powers for Arcane magazine, rating it a 9 out of 10 overall. [2] He felt that readers might suspect that Skills & Powers would "do nothing but further confuse the situation" regarding the "out of hand" number of character classes available in the game, but suggested that the book "in fact does the opposite". [2]

  5. Earned value management - Wikipedia

    en.wikipedia.org/wiki/Earned_value_management

    EV is calculated by multiplying %complete of each task (completed or in progress) by its planned value Figure 2 shows the EV curve (in green) along with the PV curve from Figure 1. The chart indicates that technical performance (i.e. progress) started more rapidly than planned, but slowed significantly and fell behind schedule at week 7 and 8.

  6. Expected value of perfect information - Wikipedia

    en.wikipedia.org/wiki/Expected_value_of_perfect...

    Since EV|PI is necessarily greater than or equal to EMV, EVPI is always non-negative. EVPI provides a criterion by which to judge ordinary imperfectly informed forecasters. EVPI can be used to reject costly proposals: if one is offered knowledge for a price larger than EVPI, it would be better to refuse the offer.

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