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Controlling the Precision of Results   (Mathematica Tutorial)
In doing numerical operations like NDSolve and NMinimize, Mathematica by default uses machine numbers. But by setting the option WorkingPrecision->n you can tell it to use ...
Linear First-Order Equations   (Mathematica Tutorial)
The following is a linear first-order ODE because both y[x] and y^ ′[x] occur in it with power 1 and y^′[x] is the highest derivative. Note that the solution contains the ...
Mathematica Language Structure   (Mathematica Overview)
Basic Objects Input Syntax Some General Notations and Conventions
LocallyExact Method for NDSolve   (Mathematica Tutorial)
A differential system can sometimes be solved by analytic means. The function DSolve implements many of the known algorithmic techniques. However, differential systems that ...
New in 6.0: Statistics   (Mathematica Guide)
Version 6.0 introduced integrated highly efficient support for a wide range of statistical functions and operations, both on explicit data and on symbolic representations of ...
Dynamic Graphics Elements   (Mathematica Guide)
Mathematica's unified symbolic architecture makes it straightforward to insert dynamic behavior anywhere in any graphic. Single functions—readily generated ...
PrecisionGoal   (Built-in Mathematica Symbol)
PrecisionGoal is an option for various numerical operations which specifies how many effective digits of precision should be sought in the final result.
EventLocator Method for NDSolve   (Mathematica Tutorial)
It is often useful to be able to detect and precisely locate a change in a differential system. For example, with the detection of a singularity or state change, the ...
Functions Used in Optics   (Mathematica Guide)
 
Random Number Generation   (Mathematica Guide)
Based on original algorithms developed at Wolfram Research, Mathematica's core randomness generation is both highly efficient and of exceptional quality. Mathematica can ...
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