1091 - 1100 of 1178 for ApplySearch Results
View search results from all Wolfram sites (314993 matches)
SmoothHistogram   (Built-in Mathematica Symbol)
SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...
VectorPlot3D   (Built-in Mathematica Symbol)
VectorPlot3D[{v_x, v_y, v_z}, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] generates a 3D vector plot of the vector field {v_x, v_y, v_z} as a function of x, y, ...
WaveletScalogram   (Built-in Mathematica Symbol)
WaveletScalogram[wd] plots wavelet vector coefficients in a DiscreteWaveletData or ContinuousWaveletData object wd.WaveletScalogram[wd, wind] plots wavelet coefficients ...
Exact Global Optimization   (Mathematica Tutorial)
Exact global optimization problems can be solved exactly using Minimize and Maximize. This computes the radius of the circle, centered at the origin, circumscribed about the ...
Real Polynomial Systems   (Mathematica Tutorial)
A real polynomial system is an expression constructed with polynomial equations and inequalities combined using logical connectives and quantifiers and
Introduction to Unconstrained ...   (Mathematica Tutorial)
Mathematica has a collection of commands that do unconstrained optimization (FindMinimum and FindMaximum) and solve nonlinear equations (FindRoot) and nonlinear fitting ...
Test Problems   (Mathematica Tutorial)
All the test problems presented in [MGH81] have been coded into Mathematica in the Optimization`UnconstrainedProblems` package. A data structure is used so that the problems ...
BoxWhiskerChart   (Built-in Mathematica Symbol)
BoxWhiskerChart[{x_1, x_2, ...}] makes a box-and-whisker chart for the values x_i.BoxWhiskerChart[{x_1, x_2, ...}, bwspec] makes a chart with box-and-whisker symbol ...
DistributionChart   (Built-in Mathematica Symbol)
DistributionChart[{data_1, data_2, ...}] makes a distribution chart with a distribution symbol for each data_i.DistributionChart[{..., w_i[data_i, ...], ..., w_j[data_j, ...
Hierarchical Clustering Package   (Hierarchical Clustering Package Tutorial)
The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...
1 ... 107|108|109|110|111|112|113 ... 118 Previous Next

...