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FindInstance   (Built-in Mathematica Symbol)
FindInstance[expr, vars] finds an instance of vars that makes the statement expr be True. FindInstance[expr, vars, dom] finds an instance over the domain dom. Common choices ...
RootLocusPlot   (Built-in Mathematica Symbol)
RootLocusPlot[g, {k, k_min, k_max}] generates the root locus plot of a rational function g of k ranging from k_min to k_max.RootLocusPlot[sys, ...] plots the root loci of a ...
Concurrency: Managing Parallel Processes   (Parallel Package Tutorial)
A process is simply a Mathematica expression being evaluated. A processor is a parallel kernel that performs such evaluations. The command ParallelEvaluate discussed in the ...
ListStreamDensityPlot   (Built-in Mathematica Symbol)
ListStreamDensityPlot[array] generates a stream density plot from a 2D array of vector and scalar field values {{vx_ij, vy_ij}, s_ij}. ListStreamDensityPlot[{{{x_1, y_1}, ...
Introduction   (C Code Generator Tutorial)
Code generation from Mathematica involves converting programs written in the Mathematica language into other languages and then supporting them so that they can be executed. ...
Formatting   (SymbolicC Tutorial)
SymbolicC provides automated formatting of the generated C output. This section reviews some of the ways that you can work with formatting to create your own styles of ...
ArcSin   (Built-in Mathematica Symbol)
ArcSin[z] gives the arc sine sin -1 (z) of the complex number z.
Band   (Built-in Mathematica Symbol)
Band[{i, j}] represents the sequence of positions on the diagonal band that starts with {i, j} in a sparse array.Band[{i_min, j_min, ...}, {i_max, j_max, ...}] represents the ...
DateListLogPlot   (Built-in Mathematica Symbol)
DateListLogPlot[{{date_1, v_1}, {date_2, v_2}, ...}] makes a log plot with values v_i at a sequence of dates.DateListLogPlot[{v_1, v_2, ...}, datespec] makes a log plot with ...
EstimatorRegulator   (Built-in Mathematica Symbol)
EstimatorRegulator[ss, {l, \[Kappa]}] constructs the feedback regulator for the StateSpaceModel object ss with estimator and feedback gain matrices l and \[Kappa], ...
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