bootstrap

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bootstrap

[′büt‚strap]
(computer science)
The procedures for making a computer or a program function through its own actions.
(engineering)
A technique or device designed to bring itself into a desired state by means of its own action.

bootstrap

(operating system, compiler)
To load and initialise the operating system on a computer. Normally abbreviated to "boot". From the curious expression "to pull oneself up by one's bootstraps", one of the legendary feats of Baron von Munchhausen. The bootstrap loader is the program that runs on the computer before any (normal) program can run. Derived terms include reboot, cold boot, warm boot, soft boot and hard boot.

The term also applies to the use of a compiler to compile itself. The usual process is to write an interpreter for a language, L, in some other existing language. The compiler is then written in L and the interpreter is used to run it. This produces an executable for compiling programs in L from the source of the compiler in L. This technique is often used to verify the correctness of a compiler. It was first used in the LISP community.

See also My Favourite Toy Language.
References in periodicals archive ?
Generate a bootstrap sample of all units, denoted [X.
Based on the bootstrap sample, calculate the bootstrap CUSUM, denoted [S.
Randy Barnett succinctly stated the possible result of allowing the bootstraps in the ACA: "By this reasoning, Congress would now have the general police power the Supreme Court has always denied it possessed.
44) Wisely, those concerned about bootstraps do not ask us to consider them.
Parametric and nonparametric bootstrap confidence intervals for the complete and censored data sets were estimated for the 0.
Bootstrap confidence intervals for percentiles of reliability of modern engineered wood.
the approach has much to teach--and even companies that have progressed beyond their bootstrap days would do well to relearn some of the proven tactics" (p.
By sampling with replacement, we refer to a process in which one randomly selected case is sampled and added to the bootstrap sample, but is then replaced in the original sample, from which it may be sampled again.
We then calculated bootstrap confidence limits for the mean effect sizes for each class and for the grand mean effect sizes for comparison.
Maybe what makes bootstraps different from the satisfaction of preconditions is that the bootstrapping actor has done Y only because it really wants to do Z.
Jackson (1993) suggested that the significance of eigenvector coefficients could be evaluated by determining whether their 95% confidence limits, extracted from bootstrap analysis, overlapped zero.
In the bootstrap procedure, the computer copies each of these values, say, a billion times, mixes them thoroughly, then selects samples consisting of 15 values each.