Describe the similarities and differences among method versions when the method is overloaded.
What will be an ideal response?
Methods are overloaded correctly when they have the same identifier but their parameter lists are different. Parameter lists differ when the number and order of types within the lists are unique. For example, you could write several methods with the same identifier and one method could accept an int, another two ints, and another three ints. A fourth overloaded method could accept an int followed by a double, and another could accept a double followed by an int. Yet another version could accept no parameters. The parameter identifiers in overloaded methods do not matter, and neither do the return types of the method. Only the method identifier and parameter list types cause a method to be overloaded.
You might also like to view...
What could cause a thread to terminate prematurely?
a) an exception (such an illegal memory reference) b) a cancellation signal from a process or thread c) both a) and b) d) neither a) nor b)
_____ exchanges are run by a group of traditionally competing companies with common procurement needs.
Fill in the blank(s) with the appropriate word(s).
The sequence by which operations are performed in a mathematical expression.
What will be an ideal response?
Which of the following statements is false?
a) A concept called threads enables the operating system to run parts of an app concurrently. Though all of these tasks can make progress concurrently, they may do so by sharing one processor core. b) With multicore processors, apps can operate truly in parallel on separate cores, possibly increasing the app’s performance substantially. c) Parallelizing apps and algorithms to take advantage of multiple cores is difficult and highly error prone, especially if those tasks share data that can be modified by one or more of the tasks. d) A benefit of functional programming is that you can easily ask the library to perform a task with parallel processing to take advantage of a processor’s multiple cores. This is the purpose of CLINQ (Concurrent LINQ)—an implementation of the LINQ to Objects extension methods that parallelizes the operations for increased performance.