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To apply any algorithm selection of a proper data structure is very significant. An explicit operation might be performed with a data structure in a smaller time however it might need a very large time in some other data structure. E.g. to access ith element in a set might need constant time if we are employing arrays however the needed time becomes a polynomial in case of linked list. Consequently the selection of data structure should be done keeping in mind type of operation to be performed and architecture available. In this segment we will introduce a number of data structures generally used in parallel programming.
What is Random access memory (RAM) This is a volatile memory (i.e. contents are lost when computer is switched off). A user can write or delete data and read the contents. Befo
S tends to aAS/a and A tends to SbA/SS/ba
Smugglers are becoming very smart day by day. Now they have developed a new technique of sending their messages from one smuggler to another. In their new technology, they are send
Q. Explain basic function of Keyboard? Keyboard is the major input device for your computer. It is an accurate and fast device. The multiple character keys permit you to transm
FDDI (Fiber Distributed Data Interconnect) is an example of? Fiber Distributed Data Interconnect is an illustration of token ring.
Q. Describe the basic aspects of ENIAC? The main aspects of ENIAC can be summarized as: ENIAC was a general purpose-computing machine in that vacuum tube technology was
Question: a) With the help of a diagram, describe clusters in cellular systems. b) Describe the role of the following components in the GSM architecture Radio Sub-Sy
Q. Define about EXE Programs? An EXE program is stored on disk with extension .exe. EXE programs are longer than COM programs as every EXE program is related with an EXE header
What are the different storage classes in C? Storage classes in C There are four storage classes in C: a. Automatic storage class: b. Register storage class: c
Perceptrons: However the weights in any ANN are usually just real numbers and the learning problem boils down to choosing the best value for each weight in the network. Becaus
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