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Histogram3D   (Built-in Mathematica Symbol)
Histogram3D[{{x_1, y_1}, {x_2, y_2}, ...}] plots a 3D histogram of the values {x_i, y_i}.Histogram3D[{{x_1, y_1}, {x_2, y_2}, ...}, bspec] plots a 3D histogram with bins ...
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 ...
RenkoChart   (Built-in Mathematica Symbol)
RenkoChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Renko chart with prices p_i at date date_i.RenkoChart[{" name", daterange}] makes a Renko chart of closing prices for ...
Fit Models with Measurement Errors   (Mathematica How To)
Particularly in the physical sciences, it is common to use measurement errors as weights to incorporate measured variation into the fitting. Weights have a relative effect on ...
The Mathematica function DSolve finds symbolic solutions to differential equations. (The Mathematica function NDSolve, on the other hand, is a general numerical differential ...
Evaluation   (Mathematica Tutorial)
The following is the sequence of steps that Mathematica follows in evaluating an expression like h[e_1,e_2…]. Every time the expression changes, Mathematica effectively ...
Flat and Orderless Functions   (Mathematica Tutorial)
Although Mathematica matches patterns in a purely structural fashion, its notion of structural equivalence is quite sophisticated. In particular, it takes account of ...
Operations on Strings   (Mathematica Tutorial)
Mathematica provides a variety of functions for manipulating strings. Most of these functions are based on viewing strings as a sequence of characters, and many of the ...
The Standard Evaluation Procedure   (Mathematica Tutorial)
Here the standard procedure used by Mathematica to evaluate expressions is described. This procedure is the one followed for most kinds of expression. There are, however, ...
Introduction to Step Control   (Mathematica Tutorial)
Even with "Newton methods" where the local model is based on the actual Hessian, unless you are close to a root or minimum, the model step may not bring you any closer to the ...
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