LogLinearPlot (Built-in Mathematica Symbol)

LogLinearPlot[f, {x, x_min, x_max}] generates a log-linear plot of f as a function of x from x_min to x_max. LogLinearPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates ...

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 ...

PlotRange (Built-in Mathematica Symbol)

PlotRange is an option for graphics functions that specifies what range of coordinates to include in a plot.

RectangleChart (Built-in Mathematica Symbol)

RectangleChart[{{x_1, y_1}, {x_2, y_2}, ...}] makes a rectangle chart with bars of width x_i and height y_i. RectangleChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_i, y_j}, ...

Nonlinear PDEs (Mathematica Tutorial)

The general first-order nonlinear PDE for an unknown function u(x,y) is given by Here F is a function of uu(x,y), p ( ∂u(x,y) ) / ( ∂x ) , and q ( ∂u(x,y) ) / ( ∂y ) . The ...

KagiChart (Built-in Mathematica Symbol)

KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...

Introduction to Control Objects (Mathematica Tutorial)

Mathematica includes many controls and structures related to controls as part of its core language. These control objects are supported in a completely seamless way ...

Numerical Nonlinear Local Optimization (Mathematica Tutorial)

Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...

BinormalDistribution (Built-in Mathematica Symbol)

BinormalDistribution[{\[Mu]_1, \[Mu]_2}, {\[Sigma]_1, \[Sigma]_\ 2}, \[Rho]] represents a bivariate normal distribution with mean {\[Mu]_1, \[Mu]_2} and covariance matrix ...

BarChart3D (Built-in Mathematica Symbol)

BarChart3D[{y_1, y_2, ...}] makes a 3D bar chart with bar lengths y_1, y_2, ....BarChart3D[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a 3D bar chart with bar ...