How To Think Like A Computer Scientist
... between 0 and 1 is not countable. Proof by contradiction: Suppose I is countable. Let f be the 1-1 onto function from N to I. Make a list L as follows: 0: decimal expansion of f(0) 1: decimal expansion of f(1) ...
... between 0 and 1 is not countable. Proof by contradiction: Suppose I is countable. Let f be the 1-1 onto function from N to I. Make a list L as follows: 0: decimal expansion of f(0) 1: decimal expansion of f(1) ...
Uncertainties
... Note: all computer-generated graphs start all axis at the zero unless you specify. According to IB: a graph can only be plotted when a minimum of 5 points. Once all points have been plotted on the graph, you must decided if you should: 1. Join the points directly 2. Draw the line of best fit – this ...
... Note: all computer-generated graphs start all axis at the zero unless you specify. According to IB: a graph can only be plotted when a minimum of 5 points. Once all points have been plotted on the graph, you must decided if you should: 1. Join the points directly 2. Draw the line of best fit – this ...
The MATLAB Notebook v1.5.2
... load: retrieving all saved variables from the file into MATLAB current working space o load – load all saved variables from the file "matlab.mat" o load filename – load all saved variables from the file "filename.mat" (NB: the file must exist either in the same directory or in the valid path) o lo ...
... load: retrieving all saved variables from the file into MATLAB current working space o load – load all saved variables from the file "matlab.mat" o load filename – load all saved variables from the file "filename.mat" (NB: the file must exist either in the same directory or in the valid path) o lo ...
Chapter 1
... have been removed; we say that the numerator and the denominator are relatively prime when a fraction is in simplest form 5.1.1.10. lowest terms – same as simplest form 5.1.1.11. denseness – there are no holes in the number line, the number line is said to be dense because in between any two numbers ...
... have been removed; we say that the numerator and the denominator are relatively prime when a fraction is in simplest form 5.1.1.10. lowest terms – same as simplest form 5.1.1.11. denseness – there are no holes in the number line, the number line is said to be dense because in between any two numbers ...
Quantitative Ability – POINTS TO REMEMBER If an equation (i.e. f(x
... 17. a4 + b4 + c4 + d4 >= 4abcd (Equality arises when a=b=c=d=1) 18. (n!)2 > nn 19. If a + b + c + d=constant, then the product a^p * b^q * c^r * d^s will be maximum if a/p = b/q = c/r = d/s 20. If n is even, n(n+1)(n+2) is divisible by 24 21. x^n -a^n = (x-a)(x^(n-1) + x^(n-2) + .......+ a^(n-1) ) . ...
... 17. a4 + b4 + c4 + d4 >= 4abcd (Equality arises when a=b=c=d=1) 18. (n!)2 > nn 19. If a + b + c + d=constant, then the product a^p * b^q * c^r * d^s will be maximum if a/p = b/q = c/r = d/s 20. If n is even, n(n+1)(n+2) is divisible by 24 21. x^n -a^n = (x-a)(x^(n-1) + x^(n-2) + .......+ a^(n-1) ) . ...
(pdf)
... graph defining the code (specifically, the fact that high-girth graphs look locally like trees). Nevertheless, it remained unclear how to bring girth-based arguments into the context of LP decoding. In a recent paper, Koetter and Vontobel [8] achieved this. Their key idea was to use the min-sum algo ...
... graph defining the code (specifically, the fact that high-girth graphs look locally like trees). Nevertheless, it remained unclear how to bring girth-based arguments into the context of LP decoding. In a recent paper, Koetter and Vontobel [8] achieved this. Their key idea was to use the min-sum algo ...
Grade 7 MC Practice
... Q21 Based on Rudy’s baseball statistics, the probability that he will pitch a curveball is . If Rudy throws 20 pitches, how many pitches most likely will be curveballs? A B C D ...
... Q21 Based on Rudy’s baseball statistics, the probability that he will pitch a curveball is . If Rudy throws 20 pitches, how many pitches most likely will be curveballs? A B C D ...
Law of large numbers
In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed.The LLN is important because it ""guarantees"" stable long-term results for the averages of some random events. For example, while a casino may lose money in a single spin of the roulette wheel, its earnings will tend towards a predictable percentage over a large number of spins. Any winning streak by a player will eventually be overcome by the parameters of the game. It is important to remember that the LLN only applies (as the name indicates) when a large number of observations are considered. There is no principle that a small number of observations will coincide with the expected value or that a streak of one value will immediately be ""balanced"" by the others (see the gambler's fallacy)