Answer: Applications for desktop or laptop computers are sometimes called desktop applications, while those for mobile devices are called mobile apps. When you open an application, it runs inside the operating system until you close it
Explanation:
Explanation/Answer:
Data can be put into more than one cell (Excel), which should be an important key to your answer. In SEVERAL CELLS AT THE SAME TIME or more. The data can be entered in dates, text, times, or numbers. Formatting the data can be done in a possibility of ways.
Answers:
What is the index of the last element in the array? stArr1.length()-1
This prints the names in order. How would I print every other value? Change line 4 to: index = index +2
Change line 7 to: i < names.length
It should be noted that the process of redefining the functionality of a built-in operator to operate is known as <u>operator overloading</u>.
Operator overloading simply means polymorphism. It's a manner in which the operating system allows the same operator name to be used for different operations.
Operator overloading allows the operator symbols to be bound to more than one implementation. It's vital in redefining the functionality of a built-in operator to operate on programmer-defined objects.
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With four processing cores, we get a speedup of 1.82 times.
<h3>
What is Amdahl's Law?</h3>
Amdahl's law exists as a formula that provides the theoretical speedup in latency of the implementation of a task at a fixed workload that can be expected of a system whose resources exist improved.
Amdahl's law exists that, in a program with parallel processing, a relatively few instructions that hold to be completed in sequence will have a limiting factor on program speedup such that adding more processors may not complete the program run faster.
Amdahl's law stands also known as Amdahl's argument. It is utilized to find the maximum expected progress to an overall system when only part of the system exists improved. It is often utilized in parallel computing to indicate the theoretical maximum speed up utilizing multiple processors.
Hence, With four processing cores, we get a speedup of 1.82 times.
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