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Arrow   (Built-in Mathematica Symbol)
Arrow[{pt_1, pt_2}] is a graphics primitive that represents an arrow from pt_1 to pt_2.Arrow[{pt_1, pt_2}, s] represents an arrow with its ends set back from pt_1 and pt_2 by ...
EstimatorGains   (Built-in Mathematica Symbol)
EstimatorGains[ss, {p_1, p_2, ..., p_n}] gives the estimator gain matrix for the StateSpaceModel object ss, such that the poles of the estimator are p_i.
KalmanEstimator   (Built-in Mathematica Symbol)
KalmanEstimator[ss, {w, v}] constructs the Kalman estimator for the StateSpaceModel object ss with process and measurement noise covariance matrices w and v. ...
LQEstimatorGains   (Built-in Mathematica Symbol)
LQEstimatorGains[ss, {w, v}] gives the optimal estimator gain matrix for the StateSpaceModel object ss with process and measurement noise covariance matrices w and ...
MannWhitneyTest   (Built-in Mathematica Symbol)
MannWhitneyTest[{data_1, data_2}] tests whether the medians of data_1 and data_2 are equal.MannWhitneyTest[dspec, \[Mu]_0] tests the median difference against ...
SiegelTukeyTest   (Built-in Mathematica Symbol)
SiegelTukeyTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.SiegelTukeyTest[dspec, \[Sigma]_0^2] tests a dispersion measure against ...
VectorPlot   (Built-in Mathematica Symbol)
VectorPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}] generates a vector plot of the vector field {v_x, v_y} as a function of x and y. VectorPlot[{{v_x, v_y}, {w_x, ...
Balance Brackets and Braces   (Mathematica How To)
All bracketing characters in Mathematica must be balanced. That is, every type of opening bracket must be balanced by a corresponding closing bracket. If there is an ...
Searching and Reading Strings   (Mathematica Tutorial)
Functions like Read and Find are most often used for processing text and data from external files. In some cases, however, you may find it convenient to use these same ...
Parallel Computation   (Compiled Function Tools Tutorial)
The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...
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