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Oracle's SQL Plus Worksheet is a straight-forward, easy-to-use, graphical user interface for SQL. ^ "ISQLPlus". Oracle FAQ. 2008-02-29. Retrieved 2008-11-21. iSQLPlus (iSQL Plus) is a web-based utility similar to the SQL Plus command line utility for executing SQL and PL/SQL commands (available up to Oracle 10gR2).
The most common problem being solved is the 0-1 knapsack problem, which restricts the number of copies of each kind of item to zero or one. Given a set of items numbered from 1 up to , each with a weight and a value , along with a maximum weight capacity ,
In mathematics, the Runge–Kutta–Fehlberg method (or Fehlberg method) is an algorithm in numerical analysis for the numerical solution of ordinary differential equations. It was developed by the German mathematician Erwin Fehlberg and is based on the large class of Runge–Kutta methods . The novelty of Fehlberg's method is that it is an ...
the index cannot be created or altered, or the length of a column cannot be changed because the sum of the internal lengths of the columns for the index is greater than the allowable maximum -615 operation-type is not allowed on a package in use
Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.
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Most vexing parse. The most vexing parse is a counterintuitive form of syntactic ambiguity resolution in the C++ programming language. In certain situations, the C++ grammar cannot distinguish between the creation of an object parameter and specification of a function's type. In those situations, the compiler is required to interpret the line ...
e. In machine learning, backpropagation is a gradient estimation method commonly used for training neural networks to compute the network parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input ...