相关题目
203、Hard disk is the preferred type of main storage for most computer systems for three reasons.First, it provides lots of storage capacity.Second, it provides faster access to files than floppy disk drives.Third, a hard disk is economical.Incredibly, a hard disk typically stores millions of times more data than a floppy disk, but a hard disk drive might cost only three times as much as a floppy disk drive.A hard disk is one or more platters and their associated read write heads.A hard disk platter is a flat, rigid disk made of aluminum or glass and coated with magnetic iron oxide particles.You will frequently see the terms “hard disk” and “hard disk drive” used interchangeably.You might also hear the term “fixed disk” used to refer to hard disks.Personal computer hard disk platters are typically 3.5 in diameter - the same size as the circular mylar disk in a floppy.However, the density of the surface particles and the data storage capacity of hard disk far exceed those of a loppy disk.Also, the access time for a hard disk is significantly faster than that for a floppy disk.Hard disk storage capacities of 40 GB and access time of 6 to 11ms are not uncommon.Hard disk drive speed is sometimes measured in revolutions per minute ( ).The faster that a drive spins, the more rapidly it can position the read write head over specific data.For example, a 7,200 rpm drive is able to access data faster than a 5,400 rpm drive.Computer ads typically specify the capacity and access time of a hard disk drive.So “40 GB 8ms HD” means a hard disk drive with 40 gigabyte capacity, and an access time of 8 milliseconds.(3)、According to this passage, which of the following statements is false?
203、Hard disk is the preferred type of main storage for most computer systems for three reasons.First, it provides lots of storage capacity.Second, it provides faster access to files than floppy disk drives.Third, a hard disk is economical.Incredibly, a hard disk typically stores millions of times more data than a floppy disk, but a hard disk drive might cost only three times as much as a floppy disk drive.A hard disk is one or more platters and their associated read write heads.A hard disk platter is a flat, rigid disk made of aluminum or glass and coated with magnetic iron oxide particles.You will frequently see the terms “hard disk” and “hard disk drive” used interchangeably.You might also hear the term “fixed disk” used to refer to hard disks.Personal computer hard disk platters are typically 3.5 in diameter - the same size as the circular mylar disk in a floppy.However, the density of the surface particles and the data storage capacity of hard disk far exceed those of a loppy disk.Also, the access time for a hard disk is significantly faster than that for a floppy disk.Hard disk storage capacities of 40 GB and access time of 6 to 11ms are not uncommon.Hard disk drive speed is sometimes measured in revolutions per minute ( ).The faster that a drive spins, the more rapidly it can position the read write head over specific data.For example, a 7,200 rpm drive is able to access data faster than a 5,400 rpm drive.Computer ads typically specify the capacity and access time of a hard disk drive.So “40 GB 8ms HD” means a hard disk drive with 40 gigabyte capacity, and an access time of 8 milliseconds.(2)、When you see “400 GB 10ms HD”, what does it mean?
203、Hard disk is the preferred type of main storage for most computer systems for three reasons.First, it provides lots of storage capacity.Second, it provides faster access to files than floppy disk drives.Third, a hard disk is economical.Incredibly, a hard disk typically stores millions of times more data than a floppy disk, but a hard disk drive might cost only three times as much as a floppy disk drive.A hard disk is one or more platters and their associated read write heads.A hard disk platter is a flat, rigid disk made of aluminum or glass and coated with magnetic iron oxide particles.You will frequently see the terms “hard disk” and “hard disk drive” used interchangeably.You might also hear the term “fixed disk” used to refer to hard disks.Personal computer hard disk platters are typically 3.5 in diameter - the same size as the circular mylar disk in a floppy.However, the density of the surface particles and the data storage capacity of hard disk far exceed those of a loppy disk.Also, the access time for a hard disk is significantly faster than that for a floppy disk.Hard disk storage capacities of 40 GB and access time of 6 to 11ms are not uncommon.Hard disk drive speed is sometimes measured in revolutions per minute ( ).The faster that a drive spins, the more rapidly it can position the read write head over specific data.For example, a 7,200 rpm drive is able to access data faster than a 5,400 rpm drive.Computer ads typically specify the capacity and access time of a hard disk drive.So “40 GB 8ms HD” means a hard disk drive with 40 gigabyte capacity, and an access time of 8 milliseconds.(1)、Which of the following choices is not the mentioned advantage of hard disk?
202、Algorithms designed using dynamic programming are similar to those developed using divide-and-conquer in that both solve a problem by breaking it down into several subproblems that can be solved recursively.The difference between the two is that in the dynamic programming approach, the results obtained from solving smaller subproblems are reused in the calculation of larger subproblems.Thus, dynamic programming is a bottom-up technique that usually begins by solving the smallest subproblems, saving these results, and then reusing them to solve larger and larger subproblems until the solution to the original problem is obtained.This is in contrast to the divide-and-conquer approach, which solves problems in a top-down fashion.In this case the original problem is solved by breaking it down into increasingly smaller subproblems, and no attempt is made to reuse previous results in the solution of any of the subproblems.It is important to realize that a dynamic programming approach is only justified if there is some degree of overlap in the subproblems.The underlying idea is to avoid calculating the same result twice.This is usually accomplished by constructing a table in memory, and filing it with known results as they are calculated.These results are they used to solve larger subproblems.Dynamic programming is often used to solve optimization problems.In an optimization problem, there are typically a large number of possible solutions, and each has a cost associated with it.The goal is to find a solution that has the smallest cost -- this is referred to as an optimal solution.(5)、 What is the passage mainly about?
202、Algorithms designed using dynamic programming are similar to those developed using divide-and-conquer in that both solve a problem by breaking it down into several subproblems that can be solved recursively.The difference between the two is that in the dynamic programming approach, the results obtained from solving smaller subproblems are reused in the calculation of larger subproblems.Thus, dynamic programming is a bottom-up technique that usually begins by solving the smallest subproblems, saving these results, and then reusing them to solve larger and larger subproblems until the solution to the original problem is obtained.This is in contrast to the divide-and-conquer approach, which solves problems in a top-down fashion.In this case the original problem is solved by breaking it down into increasingly smaller subproblems, and no attempt is made to reuse previous results in the solution of any of the subproblems.It is important to realize that a dynamic programming approach is only justified if there is some degree of overlap in the subproblems.The underlying idea is to avoid calculating the same result twice.This is usually accomplished by constructing a table in memory, and filing it with known results as they are calculated.These results are they used to solve larger subproblems.Dynamic programming is often used to solve optimization problems.In an optimization problem, there are typically a large number of possible solutions, and each has a cost associated with it.The goal is to find a solution that has the smallest cost -- this is referred to as an optimal solution.(4)、which of the following statements is true?
202、Algorithms designed using dynamic programming are similar to those developed using divide-and-conquer in that both solve a problem by breaking it down into several subproblems that can be solved recursively.The difference between the two is that in the dynamic programming approach, the results obtained from solving smaller subproblems are reused in the calculation of larger subproblems.Thus, dynamic programming is a bottom-up technique that usually begins by solving the smallest subproblems, saving these results, and then reusing them to solve larger and larger subproblems until the solution to the original problem is obtained.This is in contrast to the divide-and-conquer approach, which solves problems in a top-down fashion.In this case the original problem is solved by breaking it down into increasingly smaller subproblems, and no attempt is made to reuse previous results in the solution of any of the subproblems.It is important to realize that a dynamic programming approach is only justified if there is some degree of overlap in the subproblems.The underlying idea is to avoid calculating the same result twice.This is usually accomplished by constructing a table in memory, and filing it with known results as they are calculated.These results are they used to solve larger subproblems.Dynamic programming is often used to solve optimization problems.In an optimization problem, there are typically a large number of possible solutions, and each has a cost associated with it.The goal is to find a solution that has the smallest cost -- this is referred to as an optimal solution.(3)、In order to solve the problem, what will a dynamic programming approach do?
202、Algorithms designed using dynamic programming are similar to those developed using divide-and-conquer in that both solve a problem by breaking it down into several subproblems that can be solved recursively.The difference between the two is that in the dynamic programming approach, the results obtained from solving smaller subproblems are reused in the calculation of larger subproblems.Thus, dynamic programming is a bottom-up technique that usually begins by solving the smallest subproblems, saving these results, and then reusing them to solve larger and larger subproblems until the solution to the original problem is obtained.This is in contrast to the divide-and-conquer approach, which solves problems in a top-down fashion.In this case the original problem is solved by breaking it down into increasingly smaller subproblems, and no attempt is made to reuse previous results in the solution of any of the subproblems.It is important to realize that a dynamic programming approach is only justified if there is some degree of overlap in the subproblems.The underlying idea is to avoid calculating the same result twice.This is usually accomplished by constructing a table in memory, and filing it with known results as they are calculated.These results are they used to solve larger subproblems.Dynamic programming is often used to solve optimization problems.In an optimization problem, there are typically a large number of possible solutions, and each has a cost associated with it.The goal is to find a solution that has the smallest cost -- this is referred to as an optimal solution.(2)、 The feature of dynamic algorithm is?
202、Algorithms designed using dynamic programming are similar to those developed using divide-and-conquer in that both solve a problem by breaking it down into several subproblems that can be solved recursively.The difference between the two is that in the dynamic programming approach, the results obtained from solving smaller subproblems are reused in the calculation of larger subproblems.Thus, dynamic programming is a bottom-up technique that usually begins by solving the smallest subproblems, saving these results, and then reusing them to solve larger and larger subproblems until the solution to the original problem is obtained.This is in contrast to the divide-and-conquer approach, which solves problems in a top-down fashion.In this case the original problem is solved by breaking it down into increasingly smaller subproblems, and no attempt is made to reuse previous results in the solution of any of the subproblems.It is important to realize that a dynamic programming approach is only justified if there is some degree of overlap in the subproblems.The underlying idea is to avoid calculating the same result twice.This is usually accomplished by constructing a table in memory, and filing it with known results as they are calculated.These results are they used to solve larger subproblems.Dynamic programming is often used to solve optimization problems.In an optimization problem, there are typically a large number of possible solutions, and each has a cost associated with it.The goal is to find a solution that has the smallest cost -- this is referred to as an optimal solution.(1)、When you meet a problem with some degree of overlap in the subproblems, which algorithm may work best?
201、The MAC address associated with a station is fixed at the time of its .
200、With a business that requires multiple hubs, to enable all users to access the site server, the hubs must be interconnected together.
