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Update   (Built-in Mathematica Symbol)
Update[symbol] tells Mathematica that hidden changes have been made which could affect values associated with a symbol. Update[] specifies that the value of any symbol could ...
Running Programs on Remote Computers   (Mathematica Tutorial)
MathLink allows you to call an external program from within Mathematica even when that program is running on a remote computer. Typically, you need to start the program ...
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 ...
Newton's Method   (Mathematica Tutorial)
One significant advantage Mathematica provides is that it can symbolically compute derivatives. This means that when you specify Method->"Newton" and the function is ...
Views   (Mathematica Tutorial)
Mathematica supports a variety of objects that can be used to organize and display information in output. Known collectively as views, these objects range from the simple ...
CUDAFunctionLoad   (CUDALink Symbol)
CUDAFunctionLoad[src, fun, argtypes, blockdim] loads CUDAFunction from scr and makes fun available in Mathematica.CUDAFunctionLoad[{srcfile}, fun, argtypes, blockdim] loads ...
LogPlot   (Built-in Mathematica Symbol)
LogPlot[f, {x, x_min, x_max}] generates a log plot of f as a function of x from x_min to x_max. LogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log plots of several ...
ZTest   (Built-in Mathematica Symbol)
ZTest[data] tests whether the mean of the data is zero. ZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.ZTest[dspec, \[Sigma]] tests for zero ...
Real Polynomial Systems   (Mathematica Tutorial)
A real polynomial system is an expression constructed with polynomial equations and inequalities combined using logical connectives and quantifiers and
Applications   (CUDALink Tutorial)
Because GPUs are SIMD machines, to exploit CUDA's potential you must pose the problem in an SIMD manner. Computation that can be partitioned in such a way that each thread ...
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