![]() ![]() Refinement and coding: You must now choose representations for your data objects (a maze as a two dimensional array of degree and coefficients, a list of names possibly as an array) and write algorithms for each of the operations on these objects.If you cannot distinguish between two, choose one to work on for now. It may already be possible to tell if one will be more desirable than the other. Next try to compare the two algorithms you have in hand. Analysis: If you can think of another algorithm, then write it down.Use a notation which is natural to the way you wish to describe the order of processing. For each object there will be some basic operations to perform on it (such as print the maze, add two polynomials, or find a name in the list.) Assume that these operations already exist in the form of procedures and write an algorithm which solves the problem according to the requirements. Design: You may have several data objects (such as a maze, a polynomial, or a list of names).Try to write down a rigorous description of the input and output which covers all cases. Requirements: Make sure you understand the information you are given (the input) and what results you are to produce (the output).Creating a program can be processed better with the five phases stated below: So, instead of saying that computer science is the study of algorithms, alternatively, we might say that computer science is the study of data.įor an improvement in creating programs, some discipline should be applied. Raw data is input and algorithms are used to transform it into refined data. That is why we often hear a computer referred to as a data processing machine. If a computer is merely a means to an end, then the means may be an algorithm but the end is the transformation of data. Our first definition places great emphasis on the concept of algorithm, but never mentions the word "data". Different shaped boxes stand for different kinds of operations. ![]() This form places each processing step in a "box" and uses arrows to indicate the next step. One way is to give it a graphical form of notation such as. One important example of such a program for a computer is its operating system which never terminates (except for system crashes) but continues in a wait loop until more jobs are entered.Īn algorithm can be described in several ways. A program does not necessarily satisy the fourth condition. In formal computer science, one distinguishes between an algorithm, and a program. It is not enough that each operation be definite, but it must also be feasible. effectiveness: every instruction must be sufficiently basic that it can in principle be carried out by a person using only pencil and paper.finiteness: if we trace out the instructions of an algorithm, then for all cases the algorithm will terminate after a finite number of steps.definiteness: each instruction must be clear and unambiguous.output: at least one quantity is produced.input: there are zero or more quantities which are externally supplied.In addition every algorithm must satisfy the following criteria: The dictionary's definition, "any mechanical or recursive computational procedure," is not entirely satisfying since these terms are not basic enough.ĭefinition: An algorithm is a finite set of instructions which, if followed, accomplish a particular task. It can be easily seen that "algorithm" is a fundamental notion in computer science. This study encompasses four distinct areas: Computer Science can be defined as the study of algorithms. ![]()
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