Answer:
1 milliliter is 20 drops.
Answer:
6
Step-by-step explanation:
3 x 2 = 6
OR
3 + 3 = 6
:)
Answer:
Step-by-step explanation:
we have
This is the equation of a vertical parabola open downward
The vertex represent a maximum
Convert the quadratic equation into vertex form
step 1
Factor -2
step 2
Complete the square
step 3
Rewrite as perfect squares
----> equation in vertex form
The vertex is the point (1,5)
8x^4 + x^3 - 4x^2 +1. I believe the answer is B. Please correct me if I am wrong.
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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