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What are the things require to implement ADT
Abstract data types are very useful for helping us understand the mathematical objects which we use in our computations but, of course, we cannot use them directly in our programs. To use ADTs in programming, we should figure out how to implement them on a computer. Implementing an ADT requires two things:
Finding ways to signify carrier set values in a computer's memory requires that we determine how to arrange data (ultimately bits) in memory locations so that every value of carrier set has a unique representation. Such things are data structures.
In the last subsection, we have implemented a stack by using an array. While a stack is implemented by using arrays, it suffers from the basic restriction of an array - i.e., its s
One of the main problems with the linear queue is the lack of appropriate utilization of space. Assume that the queue can store 100 elements & the complete queue is full. Thus, it
Containers Introduction Simple abstract data types are useful for manipulating simple sets of values, such as integers or real numbers however more complex abstract data t
Graphs are data structures which consist of a set of vertices & a set of edges which connect the vertices. A graph where the edges are directed is called directed graph. Or else, i
Determine the stereo vision There is still one more major item missing, before we can look at a computer display or plot and perceive it just as we see a real object, namely th
Simulation of queues: Simulation is the process of forming an abstract model of a real world situation in order to understand the effect of modifications and the effect of introdu
How do collisions happen during hashing? Usually the key space is much larger than the address space, thus, many keys are mapped to the same address. Assume that two keys K1 an
Linked lists are among the most common and easiest data structures. They may be used to implement various other common abstract data types, including queues, stacks, symbolic expre
We might sometimes seek a tradeoff among space & time complexity. For instance, we may have to select a data structure which requires a lot of storage to reduce the computation tim
An adjacency matrix representation of a graph cannot having information of : Parallel edges
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