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Remote Definitions   (Parallel Package Tutorial)
Parallel kernels do not have access to the values of variables defined in the master kernel, nor do they have access to locally defined functions. Mathematica contains a ...
EllipticE   (Built-in Mathematica Symbol)
EllipticE[m] gives the complete elliptic integral E(m). EllipticE[\[Phi], m] gives the elliptic integral of the second kind E(\[Phi] \[VerticalSeparator] m).
FindMinimum   (Built-in Mathematica Symbol)
FindMinimum[f, x] searches for a local minimum in f, starting from an automatically selected point.FindMinimum[f, {x, x_0}] searches for a local minimum in f, starting from ...
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, ...
Line Search Methods   (Mathematica Tutorial)
A method like "Newton's" method chooses a step, but the validity of that step only goes as far as the Newton quadratic model for the function really reflects the function. ...
Sec   (Built-in Mathematica Symbol)
Sec[z] gives the secant of z.
Manipulate   (Built-in Mathematica Symbol)
Manipulate[expr, {u, u_min, u_max}] generates a version of expr with controls added to allow interactive manipulation of the value of u. Manipulate[expr, {u, u_min, u_max, ...
Attributes   (Mathematica Guide)
Any Mathematica symbol can have both a variety of types of values, and a variety of independently settable attributes that define overall aspects of its behavior.
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 ...
Gauss–Newton Methods   (Mathematica Tutorial)
For minimization problems for which the objective function is a sum of squares, it is often advantageous to use the special structure of the problem. Time and effort can be ...
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