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Pseudocode is commonly used in textbooks and scientific publications related to computer science and numerical computation to describe algorithms in a way that is accessible to programmers regardless of their familiarity with specific programming languages.
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program.
PSeInt is designed to assist students who start in the construction of computer algorithms or programs. The pseudocode is usually used as the first contact to introduce basic concepts such as the use of control structures, expressions, variables, etc., without having to deal with the particularities of the syntax of a real language.
Like many other P-code machines, the UCSD P-Machine is a stack machine, which means that most instructions take their operands from a stack, and place results back on the stack. Thus, the add instruction replaces the two topmost elements of the stack with their sum. A few instructions take an immediate argument.
In pseudocode the algorithm can be stated as: Begin 1) Objective function: (), = (,,...,); 2) Generate an initial population of fireflies (=,, …,);. 3) Formulate light intensity I so that it is associated with () (for example, for maximization problems, () or simply = ();) 4) Define absorption coefficient γ while (t < MaxGeneration) for i = 1 : n (all n fireflies) for j = 1 : i (n fireflies ...
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The following pseudocode implements the search procedure for a given string key in a rooted trie x. [ 15 ] : 135 Trie-Find(x, key) for 0 ≤ i < key.length do if x.Children[key[i]] = nil then return false end if x := x.Children[key[i]] repeat return x.Value
Natural computing, [1] [2] also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute.