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The CFOP method (Cross – F2L (first 2 layers) – OLL (orientate last layer) – PLL (permutate last layer)), also known as the Fridrich method, is one of the most commonly used methods in speedsolving a 3×3×3 Rubik's Cube. It is one of the fastest methods with the other most notable ones being Roux and ZZ.
The maximal number of face turns needed to solve any instance of the Rubik's Cube is 20, [2] and the maximal number of quarter turns is 26. [3] These numbers are also the diameters of the corresponding Cayley graphs of the Rubik's Cube group. In STM (slice turn metric), the minimal number of turns is unknown.
In 3×3×3 blindfolded and 3×3×3 fewest moves challenges, either a straight mean of 3 or the best of 3 is used, while 4×4×4 blindfolded, 5×5×5 blindfolded, and multiple blindfolded challenges are ranked using the best of 1, 2 or 3, depending on the competition. When a round begins, competitors turn in the puzzle they will use.
The following are the current official speedcubing world records approved by the WCA. [4] Note: For averages of 5 solves, the best time and the worst time are dropped, and the mean of the remaining 3 solves is taken. For events where only 3 solves are done, the mean of all 3 is taken.
Jessica Fridrich (born Jiří Fridrich) is a professor at Binghamton University, who specializes in data hiding applications in digital imagery.She is also known for documenting and popularizing the CFOP method (sometimes referred to as the "Fridrich method"), one of the most commonly used methods for speedsolving the Rubik's Cube, also known as speedcubing. [1]
Speedcubing (or speedsolving) is the practice of trying to solve a Rubik's Cube in the shortest time possible. There are a number of speedcubing competitions that take place around the world. A speedcubing championship organised by the Guinness Book of World Records was held in Munich on 13 March 1981. [82]
Because actual rather than absolute values of the forecast errors are used in the formula, positive and negative forecast errors can offset each other; as a result, the formula can be used as a measure of the bias in the forecasts. A disadvantage of this measure is that it is undefined whenever a single actual value is zero.
Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables (+) = + + (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...