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Rufina [12.5K]
3 years ago
11

What is the answer step by step

Mathematics
1 answer:
vesna_86 [32]3 years ago
7 0

2 ≤  2w +4 ≤ 12

Subtract 4 from all 3 terms:

-2 ≤ 2w ≤ 8

Divide all 3 terms by 2:

-1 ≤ w ≤4

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- The four-digit number 1210 has an interesting property.
vampirchik [111]

Answer:

ABCDEFG = 3211000

Step-by-step explanation:

A counts the number of zeroes, and there are 3 zeroes (E, F, G), so A = 3.B counts the number of ones, and there are 2 ones (C, D), so B = 2.C counts the number of twos, and there is 1 two (B), so C = 1.D counts the number of threes, and there is 1 three (A), so D = 1.There is no four, five, six in, so E, F, G are all zeroes.

5 0
2 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

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7 0
1 year ago
Please show work and solve :)
andreyandreev [35.5K]

Answer:

c = 24

Step-by-step explanation:

1/3c - 7 = 1

add 7 to both sides

1/3c = 8

now multiply 3 to both sides

c = 24

7 0
2 years ago
Read 2 more answers
1986gram=................litters​
sladkih [1.3K]

Answer:

I think you have asked a wrong question there should be 1986mililitre or _kg

4 0
2 years ago
Solve.<br> -3/4- 4/3 = <br> Aswdfeghrjkt
Ghella [55]
-25/12


You have to change the denominator the the least common multiple then multiply the numerator by the number you multiplied it’s denominator with.
6 0
3 years ago
Read 2 more answers
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