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English: PDF version of en:Ada Programming/All Operators. This is volume 3 of the 3 volume set "en:Ada Programming". Tutorial Show HTML (1.839 kb) — Download PDF (1.275 kb, 234 pages) Keywords Show HTML (470 kb) — Download PDF (290 kb, 59 pages) Operators Show HTML 232 kb — Download PDF (189 kb, 27 pages)
Octave programs consist of a list of function calls or a script. The syntax is matrix-based and provides various functions for matrix operations. It supports various data structures and allows object-oriented programming. [26] Its syntax is very similar to MATLAB, and careful programming of a script will allow it to run on both Octave and ...
Operator overloading has often been criticized [2] because it allows programmers to reassign the semantics of operators depending on the types of their operands. For example, the use of the << operator in C++ a << b shifts the bits in the variable a left by b bits if a and b are of an integer type, but if a is an output stream then the above ...
De facto standard for matrix/tensor operations in Python. Pandas , a library for data manipulation and analysis. SageMath is a large mathematical software application which integrates the work of nearly 100 free software projects and supports linear algebra, combinatorics, numerical mathematics, calculus, and more.
Download as PDF; Printable version; ... Live script may refer to: Live Script, a scripting capability of MATLAB; LiveScript, a programming language that ...
Download as PDF; Printable version; In other projects ... the trace operator extends the notion of the restriction of a function to the boundary of its domain to ...
Modern implementations for Boolean operations on polygons tend to use plane sweep algorithms (or Sweep line algorithms). A list of papers using plane sweep algorithms for Boolean operations on polygons can be found in References below. Boolean operations on convex polygons and monotone polygons of the same direction may be performed in linear ...
In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness and general performance.