Answer:
= 2n²
Step-by-step explanation:
From the sequence 2,8,18,32,50
The difference between each numbers are
: 6, 10, 14, 18
The difference between the second sequence is 4.
Therefore the nth term of the sequence is 2n²
1.5
2.3
3.6
4.15
5.15
i know im right trust me
Step 1: 0.282 = 282⁄1000
Step 2: Simplify 282⁄1000= 141⁄500
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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