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The goals of minification are not the same as the goals of obfuscation; the former is often intended to be reversed using a pretty-printer [citation needed] or unminifier. However, to achieve its goals, minification sometimes uses techniques also used by obfuscation; for example, shortening variable names and refactoring the source code.
Dynamic program analysis; Software metrics; Integrated development environment (IDE) and comparison of integrated development environments. IDEs will usually come with built-in support for static program analysis, or with an option to integrate such support. Eclipse offers such integration mechanism for most different types of extensions (plug ...
Minification may refer to: Magnification, by a factor of less than one, producing a smaller image; Minification (programming), a software coding technique; Minimisation (psychology), a form of cognitive distortion
Since many parameters influence the program performance, the program optimization space is large. Meta-heuristics and machine learning are used to address the complexity of program optimization. [9] Use a profiler (or performance analyzer) to find the sections of the program that are taking the most resources – the bottleneck. Programmers ...
A slide is a single page of a presentation. A group of slides is called a slide deck. A slide show is an exposition of a series of slides or images in an electronic device or on a projection screen. Before personal computers, they were 35 mm slides viewed with a slide projector [1] or transparencies viewed with an overhead projector.
The "slide" analogy is a reference to the slide projector, a device that has become somewhat obsolete due to the use of presentation software. Slides can be printed, or (more usually) displayed on-screen and navigated through at the command of the presenter. An entire presentation can be saved in video format. [6]
Or maybe Belichick will just pay the bill himself with the $10 million salary he's set to earn for the upcoming season as part of his five-year contract.. With UNC bringing a 13-9 overall record ...
Some special cases of nonlinear programming have specialized solution methods: If the objective function is concave (maximization problem), or convex (minimization problem) and the constraint set is convex, then the program is called convex and general methods from convex optimization can be used in most cases.