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Mkey [24]
2 years ago
13

Need this done soon pleasee!!

Mathematics
1 answer:
mezya [45]2 years ago
4 0

Answer:

Step-by-step explanation:

I'm not 100% sure what this is asking, but this is how many miles per hour and also the expression for miles in h hours. You can do whatever you want with it.

367 in 5 hrs

73.4 in 1 hr

73.4h

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What is the value of the x and the y? -3x-7y=-63
PIT_PIT [208]

Step-by-step explanation:

-3x - 7y = -63

-(3x + 7y) = -63

3x + 7y = -63/-1

3x + 7y = 63

Value of x

3x + 7y = 63

3x = 63 - 7y

x = (63 - 7y)/3

Value of y

3x + 7y = 63

7y = 63 - 3x

y = (63 - 3x)/7

4 0
3 years ago
A sail is in the form of a right triangle that is two times as high as it is wide. The sail is made from 4 square meters of mate
Ivahew [28]
<h3>Answer:</h3>

4 m

<h3>Explanation:</h3>

If we let h represent the height of the sail, then its width is h/2. The area of the sail is given by ...

... A = (1/2)wh

Filling in the given information, we have

... 4 m² = (1/2)(h/2)h

... 16 m² = h² . . . . . . multiply by 4

... 4 m = h . . . . . . . . take the square root

4 0
3 years ago
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
ONE HUNDRED POINTS
Over [174]

Answer:

See Below.

Step-by-step explanation:

We are given that ∠A = ∠D, and we want to prove that ΔACB ~ ΔDCE.

Statements:                                    Reasons:

1) \text{ $\angle A=\angle D$}                                    \text{Given}

2) \text{ }\angle BCA=\angle ECD                        \text{Vertical Angles Are Congruent}

3) \text{ } \Delta ACB \sim \Delta DCE                        \text{AA (Angle-Angle) Similarity}

5 0
3 years ago
Read 2 more answers
Select all the correct graphs.<br> Choose the graphs that indicate equations with no solution.
Natali [406]

Answer:

The first and last graph.

General Formulas and Concepts:

<u>Algebra I</u>

  • Solving systems of equations graphically

Step-by-step explanation:

In order for a systems of equations to have a solution set, the 2 graphs must intersect at at least 1 point. Here, we see that graphs 1 and 5 do not intersect each other at all.

Therefore, the rest of the graphs have solutions and #1 and #5 do no have any solutions.

3 0
3 years ago
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