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Pseudocode resembles skeleton programs, which can be compiled without errors. Flowcharts, drakon-charts and Unified Modelling Language (UML) charts can be thought of as a graphical alternative to pseudocode, but need more space on paper. Languages such as bridge the gap between pseudocode and code written in programming languages.
C. C4.5 algorithm; Chord (peer-to-peer) Cigarette smokers problem; Cocktail shaker sort; Comb sort; Computation of cyclic redundancy checks; Conditional (computer programming) Conjugate residual method; Cooley–Tukey FFT algorithm; Cryptographically Generated Address; CURE algorithm; Cycle sort
Decompilation - The program is converted into a variant of C-like pseudocode through decompilation to obtain abstract syntax trees. Dimensionality reduction - The most relevant and useful features for author identification are selected. Classification - A random-forest classifier attributes the authorship of the program.
In pseudocode, this algorithm would look as follows. The algorithm does not use complex numbers and manually simulates complex-number operations using two real numbers, for those who do not have a complex data type. The program may be simplified if the programming language includes complex-data-type operations.
Lovelace's program can be implemented in a modern programming language, though due to the above stated error, if transcribed exactly it would return an incorrect final value for . The original program generalised in pseudocode follows as thus: V[1] = 1 V[2] = 2 V[3] = n (n = 4 in Lovelace's program.)
A compiler may produce pseudo code that is then translated to machine code by a pseudo code definition in the target matchine code instruction. Pseudo code used in this way is an abstraction allowing the translation of a high level language to an intermediate pseudo code instruction set that can then be defined for a specific target: processor.
To convert, the program reads each symbol in order and does something based on that symbol. The result for the above examples would be (in reverse Polish notation) "3 4 +" and "3 4 2 1 − × +", respectively. The shunting yard algorithm will correctly parse all valid infix expressions, but does not reject all invalid expressions.
Skeleton programming mimics this, but differs in the way that it is commonly written in an integrated development environment, or text editors. This assists the further development of the program after the initial design stage. Skeleton programs also allow for simplistic functions to operate, if run.