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Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML , CSS and (optionally) JavaScript -based design templates for typography , forms , buttons , navigation , and other interface components.
A media query consists of a media type and one or more expressions, involving media features, which resolve to either true or false.The result of the query is true if the media type specified in the media query matches the type of device the document is being displayed on and all expressions in the media query are true.
The debugging interface of Eclipse with a program suspended at a breakpoint. Panels with stack trace (upper left) and watched variables (upper right) can be seen. In software development, a breakpoint is an intentional stopping or pausing place in a program, put in place for debugging purposes. It is also sometimes simply referred to as a pause
A breakpoint is an execution stop point in the code of a computer program. Breakpoint or break point may also refer to: BCR, the gene that encodes the breakpoint cluster region protein; Break point, in tennis; Break Point, a 2002 novel by Rosie Rushton; Break Point, a 2015 U.S. comedy film; Breakpoint (demoparty), a German demoscene party
Bootstrapping, bootstrap, or bootstraps may also refer to: Bootstrap (front-end framework), a free collection of tools for creating websites and web applications; Bootstrap curriculum, a curriculum which uses computer programming to teach algebra to students age 12–16; Bootstrap funding in entrepreneurship and startups
In general, bootstrapping usually refers to a self-starting process that is supposed to continue or grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation, such as bootstrapping (statistics), bootstrapping (finance), or bootstrapping (linguistics).
The jackknife pre-dates other common resampling methods such as the bootstrap. Given a sample of size n {\displaystyle n} , a jackknife estimator can be built by aggregating the parameter estimates from each subsample of size ( n − 1 ) {\displaystyle (n-1)} obtained by omitting one observation.
Accelerated bootstrap – The bias-corrected and accelerated (BCa) bootstrap, by Efron (1987), [12] adjusts for both bias and skewness in the bootstrap distribution. This approach is accurate in a wide variety of settings, has reasonable computation requirements, and produces reasonably narrow intervals.