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Bootstrap (framework) Template:Bootstrap; Template:Bootstrap/man; Usage on ja.wikipedia.org Bootstrap; Usage on ko.wikipedia.org 부트스트랩 (프론트엔드 프레임워크) Usage on ky.wikipedia.org Bootstrap (фреймворк) Usage on lmo.wikipedia.org Bootstrap; Usage on nl.wikipedia.org Bootstrap (framework) Usage on pl.wikipedia.org
Overdrawn at the Memory Bank is a 1984 science-fiction television film starring Raul Julia and Linda Griffiths (pictured).Based on a 1976 short story by John Varley from the Eight Worlds series, the film takes place in a dystopian future where an employee at a conglomerate, played by Julia, gets trapped inside the company's computer, where he is monitored and later abetted by a character ...
Here, the term structure of spot returns is recovered from the bond yields by solving for them recursively, by forward substitution: this iterative process is called the bootstrap method. The usefulness of bootstrapping is that using only a few carefully selected zero-coupon products, it becomes possible to derive par swap rates (forward and ...
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
Upon discovery of early Ajax capabilities, digiGroups, Noosh, and others used frames to pass information into the user browsers' visual field without refreshing a Web application's visual context, realizing real-time rich Web applications using only the standard HTTP, HTML, and JavaScript capabilities of Netscape 4.0.5+ and Internet Explorer 5 ...
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).
Optimization problems are often multi-modal; that is, they possess multiple good solutions. They could all be globally good (same cost function value) or there could be a mix of globally good and locally good solutions. Obtaining all (or at least some of) the multiple solutions is the goal of a multi-modal optimizer.
In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional normal distribution to higher dimensions.