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Using Nearest   (Mathematica Tutorial)
Nearest is used to find elements in a list that are closest to a given data point. Nearest function. Nearest works with numeric lists, tensors, or a list of strings.
Configuring the Compilation   (C Compiler Driver Package Tutorial)
The CCompilerDriver package lets you work with C compilers that are installed on your computer. It lets you build executables, libraries, and object files from C source code. ...
KernelMixtureDistribution   (Built-in Mathematica Symbol)
KernelMixtureDistribution[{x_1, x_2, ...}] represents a kernel mixture distribution based on the data values x_i.KernelMixtureDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...
Advanced Manipulate Functionality   (Mathematica Tutorial)
This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
EquationTrekker Package   (Equation Trekker Package Tutorial)
This package provides an interactive tool for investigating the solutions of differential equations as well as other types of equations that have solutions that can be viewed ...
Update Parts of a Matrix   (Mathematica How To)
Mathematica has many matrix operations that support operations such as building, computing, and visualizing matrices. It also has a rich language for picking out parts of ...
Differences   (Built-in Mathematica Symbol)
Differences[list] gives the successive differences of elements in list. Differences[list, n] gives the n\[Null]^th differences of list. Differences[list, {n_1, n_2, ...}] ...
RescalingTransform   (Built-in Mathematica Symbol)
RescalingTransform[{{x_min, x_max}, {y_min, y_max}, ...}, {{xp_min, xp_max}, ...}] gives a TransformationFunction that rescales the region with coordinate ranges x_min to ...
Rotate   (Built-in Mathematica Symbol)
Rotate[g, \[Theta]] represents 2D graphics primitives or any other objects g rotated counterclockwise by \[Theta] radians about the center of their bounding box. Rotate[g, ...
Norms in NDSolve   (Mathematica Tutorial)
NDSolve uses norms of error estimates to determine when solutions satisfy error tolerances. In nearly all cases the norm has been weighted, or scaled, such that it is less ...
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