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vitfil [10]
4 years ago
7

Gina is upgrading your computer with a new processor. She installs the processor into your motherboard and adds the cooling syst

em. She powers up the computer, and it begins to boot but then shuts down.
a. Computer is overclocked.b. Thermal paste was not used.c. Processor is not compatible.d. Processor is not seated properly.
Computers and Technology
1 answer:
Setler [38]4 years ago
7 0

Answer:

Option B is Correct.

Explanation:

Thermal paste is used in the CPU motherboard to reduce the heat.

Thermal paste is a heat observing coating that is used to make the system cool when it is heated much by working for a long time.

Thermal paste is also used in heat sink in CPU and CPU passes the air in the heat sink to make the temperature normal.

Thermal paste is very useful which installing any processor otherwise which running, the temperature will be increased in the absence of the thermal paste.

It is used to maintain the empty place between the motherboard and the processor.

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I have six nuts and six bolts. Exactly one nut goes with each bolt. The nuts are all different sizes, but it’s hard to compare t
juin [17]

Answer:

Explanation:

In order to arrange the corresponding nuts and bolts in order using quicksort algorithm, we need to first create two arrays , one for nuts and another for bolts namely nutsArr[6] and boltsArr[6]. Now, using one of the bolts as pivot, we can rearrange the nuts in the nuts array such that the nuts on left side of the element chosen (i.e, the ith element indexed as nutArr[i]) are smaller than the nut at ith position and nuts to the right side of nutsArr[i] are larger than the nut at position "I". We implement this strategy recursively to sort the nuts array. The reason that we need to use bolts for sorting nuts is that nuts are not comparable among themselves and bolts are not comparable among themselves(as mentioned in the question)

The pseudocode for the given problem goes as follows:

// method to quick sort the elements in the two arrays

quickSort(nutsArr[start...end], boltsArr[start...end]): if start < end: // choose a nut from nutsArr at random randElement = nutsArr[random(start, end+1)] // partition the boltsArr using the randElement random pivot pivot = partition(boltsArr[start...end], randElement) // partition nutsArr around the bolt at the pivot position partition(nutsArr[start...end], boltsArr[pivot]) // call quickSort by passing first partition quickSort(nutsArr[start...pivot-1], boltsArr[start...pivot-1]) // call quickSort by passing second partition quickSort(nutsArr[pivot+1...end], boltsArr[pivot+1...end])

// method to partition the array passed as parameter, it also takes pivot as parameter

partition(character array, integer start, integer end, character pivot)

{

       integer i = start;

loop from j = start to j < end

       {

check if array[j] < pivot

{

swap (array[i],array[j])

               increase i by 1;

           }

 else check if array[j] = pivot

{

               swap (array[end],array[j])

               decrease i by 1;

           }

       }

swap (array[i] , array[end])

       return partition index i;

}

7 0
4 years ago
What best describes presentation software?
Oduvanchick [21]
It seems that you have forgotten the essential options to answer this question. But anyway, hope this answer will help you find what you are looking for.
When we say presentation software, this is a software that is used <span> to display information in the form of a </span>slide show<span>. It allows you to format text, include graphic images and present the content in a slide show. Hope this helps.</span>
5 0
3 years ago
1.1<br> What are three reasons why decision-making is required in a programmed work cyde?
fgiga [73]

Answer:

Programmed decisions are those that are repeated over time and for which an existing set of rules can be developed to guide the process. These decisions might simple, or they could be fairly complex, but the criteria that go into making the decision are all known or can at least be estimated with a reasonable degree of accuracy. For example, deciding how many raw materials to order should be a programmed decision based on anticipated production, existing stock, and anticipated length of time for the delivery of the final product. As another example, consider a retail store manager developing the weekly work schedule for part-time employees. The manager must consider how busy the store is likely to be, taking into account seasonal fluctuations in business. Then, she must consider the availability of the workers by taking into account requests for vacation and for other obligations that employees might have (such as school). Establishing the schedule might be complex, but it is still a programmed decision: it is made on a regular basis based on well-understood criteria, so structure can be applied to the process. For programmed decisions, managers often develop heuristics, or mental shortcuts, to help reach a decision. For example, the retail store manager may not know how busy the store will be the week of a big sale, but might routinely increase staff by 30% every time there is a big sale (because this has been fairly effective in the past). Heuristics are efficient—they save time for the decision maker by generating an adequate solution quickly. Heuristics don’t necessarily yield the optimal solution—deeper cognitive processing may be required for that. However, they generally yield a good solution. Heuristics are often used for programmed decisions, because experience in making the decision over and over helps the decision maker know what to expect and how to react. Programmed decision-making can also be taught fairly easily to another person. The rules and criteria, and how they relate to outcomes, can be clearly laid out so that a good decision can be reached by the new decision maker. Programmed decisions are also sometimes referred to as routine or low-involvement decisions because they don’t require in-depth mental processing to reach a decision. High- and low-involvement decisions are illustrated in.

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3 years ago
4.8 Code Practice: Question 1<br> I need help
nataly862011 [7]

for x in range(5,76,5):

   print(x, end=" ")

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4 0
3 years ago
For example, one might start with a population of 500 organisms, a growth rate of 2, and a growth period to achieve this rate of
maks197457 [2]

Answer:

The Python code is given below with appropriate comments

Explanation:

def predict_population_growth():

#Prompt and read the input from the user

num_org = int(input("Enter the initial number of organisms: "))

GR = float(input("Enter the rate of growth [a real number > 0]: "))

numHour = int(input("Enter the number of hours to achieve the rate of growth: "))

totalHours = int(input("Enter the total hours of growth: "))

#caluclate the total poulation growth

population = num_org

hours = 0

while hours < totalHours:

    population *= GR

    hours += numHour

print(" The total population is " + str(int(population)))

predict_population_growth()

6 0
3 years ago
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