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Computer science approaches these problems by establishing a well-defined set of building blocks
what algorithm presentations can be built. Such a structure is called primitive. Share Accurate descriptions of these ancient methods eliminate many problems of ambiguity and require algorithms to what is described in terms of these ancient methods establishes the same level of detail. A collection of primitives as well. VU PAST PAPERS BY MOAAZ
A set of rules stating how primitives can be combined to represent complex ideas creates planning language. Each primitive has its own syntax and semantics. The syntax refers to ancient symbolic images; semantics refers to the primitive meaning. Air syntax has three symbols, and semantics is a source of gas around the earth. In order to obtain the primitive collection that will be used to represent computer-generated algorithms, we can turn
in each order, the machine is designed to perform. VU PAST PAPERS BY MOAAZ
If the algorithm is displayed in this level of detail, we will certainly have a system suitable for machine making. However, exposure Algorithms at this level are boring, so one usually uses a set of “high quality” artifacts, one at a time. to be an invisible tool built from a low level given in machine language. The result is an official programming language in which algorithms can be expressed at a higher level of conception quality than machine language. VU PAST PAPERS BY MOAAZ
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Representation (Pseudocode) In the meantime, we are abandoning the introduction of official planning language in order to reap the unplanned, plural, and accurate notational system known as pseudocode. Generally, pseudocode is a notational program where ideas can be expressed informally during the algorithm development process.VU PAST PAPERS BY MOAAZ
Another way to get pseudocode is to simply relax the rules of formal programming language, to borrow.
syntax-semantic language structures, mixed with less structured structures. There are many like that
different from pseudocode because there are many editing languages available. Two in particular
popular options lose versions of the Algol and Pascal languages, mainly because these were broadly
used in textbooks and educational papers for decades. VU PAST PAPERS BY MOAAZ
Recently, pseudocode reminds Java once C-languages are widespread, and because of that program editors will have at least a little reading experience in these languages. No matter where the pseudocode lends its syntax, one important point needed to carry out its purpose in rendering algorithms: Pseudocode should be consistent, short.
a note representing repetitive semantic structures. VU PAST PAPERS BY MOAAZ
One semantic structure is the calculation of the calculated value. For example, if we calculate the sum of
our test and savings account balance, we may want to save the result for later reference. Ku
in such cases we will use the form name = expression where the word is the word by which we will refer to the result and the expression means counting the result is salvation. This pseudocode structure follows exactly the equal distribution of the Python statement, presented in the final value of Python variation. For example, I
stated. VU PAST PAPERS BY MOAAZ
Remaining funds = CheckingBalance + SavingsBalance a job statement that gives a total of CheckingBalance and SavingsBalance on behalf of Remaining funds? Thus, the term RemainingFunds may be used in future statements to refer to that amount. Another repetitive semantic structure is the selection of one of two possible functions depending on reality or a lie of some sort. Examples include: VU PAST PAPERS BY MOAAZ
If the volume of home production has increased, buy regular stock or sell regular stock. Buy regular stock when the volume of a home product has increased and sold it another way. Buy or sell regular stock depending on whether the amount of domestic product has increased or decreased, respectively. Each of these statements can be rewritten to fit the structure. VU PAST PAPERS BY MOAAZ
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