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Majora's Mask requires the Expansion Pak add-on for the Nintendo 64, which provides additional memory for more refined graphics and greater capacity in generating on-screen characters. Majora's Mask earned universal acclaim from critics and is widely considered one of the best video games ever made.
In video games using procedural world generation, the map seed is a (relatively) short number or text string which is used to procedurally create the game world ("map"). "). This means that while the seed-unique generated map may be many megabytes in size (often generated incrementally and virtually unlimited in potential size), it is possible to reset to the unmodified map, or the unmodified ...
The iQue Player's library has 14 games, light conversions from past releases for the Nintendo 64 in Europe, North America, and Japan. One game was canceled, The Legend of Zelda: Majora's Mask [15] and another, a Traditional Chinese version of The Legend of Zelda: Ocarina of Time, was completed but never announced. [16]
The Legend of Zelda series is set in a fantasy world that first appeared in the original The Legend of Zelda, which was developed and published by Nintendo.The game introduced Hyrule as the series' primary setting and series protagonist Link, a Hylian boy or young man who is the player character. [1]
Majora may refer to: Majora (toy company), a Portuguese toy manufacturer; The Legend of Zelda: Majora's Mask a video game from the Nintendo's Legend of Zelda series Majora (The Legend of Zelda) the entity that possesses the eponymous mask in the game
The Legend of Zelda: Majora's Mask 3D [a] is a 2015 action-adventure game developed by Grezzo and published by Nintendo for the Nintendo 3DS handheld game console. The game is a remaster of The Legend of Zelda: Majora's Mask, which was originally released for the Nintendo 64 home console in 2000.
A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.
It can be shown that if is a pseudo-random number generator for the uniform distribution on (,) and if is the CDF of some given probability distribution , then is a pseudo-random number generator for , where : (,) is the percentile of , i.e. ():= {: ()}. Intuitively, an arbitrary distribution can be simulated from a simulation of the standard ...