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Illustrate about the single inheritance
During inheritance, superclass feature may by override by a subclass defining that feature with the same name. The overriding features (the same name subclass feature with superclass features) refine and replace the overridden feature (the same name superclass feature). Now take a look at the diagram given in Figure. In this diagram, Triangle, Square, and Circle classes are inherited from Shape class. This case is the case of single inheritance since one class inherits from only one class.
Formal Analysis: The second step of the art critiquing process often begins with an analysis of the artworks formal elements and how they are the organised. The formal elem
Q. What is Dots per Inch? DPI (Dots per Inch) is a measure for actual sharpness of onscreen image. This relies on both the resolution and size of the image. Practical experienc
What are the three data anomalise that are likely to occur as a result of data redundancy?
Multiple Instruction and Multiple Data stream (MIMD): In this categorization, numerous processing elements and multiple control units are ordered as in MISD. However the differ
Shared Memory System / Tightly Coupled System Shared memory multiprocessors have the subsequent features: For real-time high-speed processing these systems are preferabl
Q. Illustrate Left shift register with parallel load? A register that shifts data in one direction only is known as Uni-directional shift register and a register that can shift
What are difference between latches and flipflops? Difference : Latches are level-sensitive, while, flipflops is edge sensitive. It means to say edge sensitive that O/p change
Q. Illustration what is the cause of Brownian motion? Answer:- Molecules in a gas move freely, randomly, constantly in all directions and at high speeds. They are capable
What are the type of Internet connection When determining requirements for a VPN, carefully estimate the number of systems to be put behind the VPN, the number of concurrent u
Avoiding Local Minima of multi-layered networks-Artificial intelligence : The error rate of multi-layered networks over a training set could be calculated as the number of mis
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