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topjm [15]
3 years ago
12

(Zoom in) I’m just typing cause it needs to b 20 characters long.

Mathematics
1 answer:
Romashka [77]3 years ago
8 0

Answer:

<h2>C.</h2>

Step-by-step explanation:

ABC is congruent to GEF. The transformation made was reflecting over the origin.

<h2>I'm always happy to help :)</h2>
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Find area round to nearest hundredth
LUCKY_DIMON [66]

Answer:

area = 693

Step-by-step explanation:

The area of a quadrilateral can be found using the formula; base * height

It is given that the height is 33, the base is 21;

Multiply the two

21 *33 = 693

6 0
2 years ago
Plz help me.. 50 points if you answer all ill give brainliest​
antoniya [11.8K]

1) 1/4+1/2

We need to convert the fractions.

1/4 is fine.

1 x 2=2

2 x 2=4

1/4+2/4=3/4

2) a+a

a can be written as 1a.

1a+1a=2a

I can't see photos and he doesn't know 3 or 4 and i'm confused on 5.

a=?

Hope it helps?

6 0
3 years ago
Read 2 more answers
a. esteban-perez and j. m. morales ´ , distributionally robust stochastic programs with side information based on trimmings, mat
sleet_krkn [62]

Distributionally robust stochastic programs with side information based on trimmings

This is a research paper whose authors are Adrián Esteban-Pérez and Juan M. Morales.

Abstract:

  • We look at stochastic programmes that are conditional on some covariate information, where the only knowledge of the possible relationship between the unknown parameters and the covariates is a limited data sample of their joint distribution. We build a data-driven Distributionally Robust Optimization (DRO) framework to hedge the decision against the inherent error in the process of inferring conditional information from limited joint data by leveraging the close relationship between the notion of trimmings of a probability measure and the partial mass transportation problem.
  • We demonstrate that our technique is computationally as tractable as the usual (no side information) Wasserstein-metric-based DRO and provides performance guarantees. Furthermore, our DRO framework may be easily applied to data-driven decision-making issues involving tainted samples. Finally, using a single-item newsvendor problem and a portfolio allocation problem with side information, the theoretical findings are presented.

Conclusions:

  • We used the relationship between probability reductions and partial mass transit in this study to give a straightforward, yet powerful and creative technique to expand the usual Wasserstein-metric-based DRO to the situation of conditional stochastic programming. In the process of inferring the conditional probability measure of the random parameters from a limited sample drawn from the genuine joint data-generating distribution, our technique generates judgments that are distributionally resilient to uncertainty. In a series of numerical tests based on the single-item newsvendor issue and a portfolio allocation problem, we proved that our strategy achieves much higher out-of-sample performance than several current options. We backed up these actual findings with theoretical analysis, demonstrating that our strategy had appealing performance guarantees.

To learn more about probability, visit :

brainly.com/question/11234923

#SPJ4

7 0
1 year ago
It is now twenty-seven minutes past six. What time will it be in 3 hours and 25 minutes?
stealth61 [152]

Answer:

9:52

Step-by-step explanation:

First, let's rewrite "twenty-seven minutes past six", into a standard digital clock form. We could write 6:27. Now, it's easier to see that if we add 3 hours first, we would get to 9:27. And then if we add 25 minutes, we will get to 9:52.

5 0
3 years ago
Read 2 more answers
-3(3x-8) apply distributive property
madreJ [45]

Answer:

-9x+24

Step-by-step explanation:

Multiply using the distributive property. Hope this helps :)

3 0
2 years ago
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