Math 20 Module 4 Review - Westwind Alternate School
... y=(x-1)( x2 +x-6) y=(x-1)(x+3)(x-2) Review the remainder theorem This leads us to the Remainder Theorem which states: If a polynomial f(x) is divided by (x − r) and a remainder R is obtained, then f(r) = R. 12) When P(x) = x3 - 3x2 + kx + 2 is divided by x - 2 the remainder is 4. a. Determine the va ...
... y=(x-1)( x2 +x-6) y=(x-1)(x+3)(x-2) Review the remainder theorem This leads us to the Remainder Theorem which states: If a polynomial f(x) is divided by (x − r) and a remainder R is obtained, then f(r) = R. 12) When P(x) = x3 - 3x2 + kx + 2 is divided by x - 2 the remainder is 4. a. Determine the va ...
Carryless Arithmetic Mod 10
... divisors and least common multiples, and so on. Some seem exotic, while other familiar sequences simply become periodic. For example, the analog of the Fibonacci numbers coincides with the sequence of Fibonacci numbers read mod 10, A003893, which becomes periodic with period 60 (the periodicity of t ...
... divisors and least common multiples, and so on. Some seem exotic, while other familiar sequences simply become periodic. For example, the analog of the Fibonacci numbers coincides with the sequence of Fibonacci numbers read mod 10, A003893, which becomes periodic with period 60 (the periodicity of t ...
Lecture 3 — October 16th 3.1 K-means
... 1. Compute the probability of Z given X : pθt (z|x) (Corresponding to qt+1 = arg maxq L(q, θt )) 2. Write the complete likelihood lc = log(pθt (x, z)). 3. E-Step : calculate the expected value of the complete log likelihood function, with respect to the conditional distribution of Z given X under th ...
... 1. Compute the probability of Z given X : pθt (z|x) (Corresponding to qt+1 = arg maxq L(q, θt )) 2. Write the complete likelihood lc = log(pθt (x, z)). 3. E-Step : calculate the expected value of the complete log likelihood function, with respect to the conditional distribution of Z given X under th ...
Notes
... residual with extra precision. What do we do if we have a factorization with a not-tiny backward error? After checking the residual to see that the error is unacceptably large, we might want a way of fixing the problem. One method for doing this is iterative refinement, which relies on the idea that ...
... residual with extra precision. What do we do if we have a factorization with a not-tiny backward error? After checking the residual to see that the error is unacceptably large, we might want a way of fixing the problem. One method for doing this is iterative refinement, which relies on the idea that ...
