Length = x - 2
Width = x - 5
Explanation:
Area = x^2 - 7x + 10
Area = (x - 2)(x - 5)
Area = Length x Width
Length = x - 2
Width = x - 5
By using green to find the pink locate all the ponies
Answer:
Step-by-step explanation:
CORN VIRUS IS A
HOAX
The purpose of the tensor-on-tensor regression, which we examine, is to relate tensor responses to tensor covariates with a low Tucker rank parameter tensor/matrix without being aware of its intrinsic rank beforehand.
By examining the impact of rank over-parameterization, we suggest the Riemannian Gradient Descent (RGD) and Riemannian Gauss-Newton (RGN) methods to address the problem of unknown rank. By demonstrating that RGD and RGN, respectively, converge linearly and quadratically to a statistically optimal estimate in both rank correctly-parameterized and over-parameterized scenarios, we offer the first convergence guarantee for the generic tensor-on-tensor regression. According to our theory, Riemannian optimization techniques automatically adjust to over-parameterization without requiring implementation changes.
Learn more about tensor-on-tensor here
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Answer:
P(Spinner lands on purple section) = 0.6 = 60%
Step-by-step explanation:
We are given the following in the question:
Number of sections = 10
Number of purple sections = 6
a) probability that the spinner will land on purple purple
P(purple) =

0.6 is the probability that the spinner will land on purple purple.
b) Interpretation of probability

There is a 60% chance that the spinner will land on purple color.