DeepLearning/Tensor/sin, cos, ...
compute trigonometric functions over entries of a tensor
Calling Sequence
Parameters
Options
Description
Examples
Compatibility
sin(x,opts) cos(x,opts) tan(x,opts)
sec(x,opts) csc(x,opts) cot(x,opts)
sinh(x,opts) cosh(x,opts) tanh(x,opts)
sech(x,opts) csch(x,opts) coth(x,opts)
arcsin(x,opts) arccos(x,opts) arctan(x,opts)
arcsec(x,opts) arccsc(x,opts) arccot(x,opts)
arcsinh(x,opts) arccosh(x,opts) arctanh(x,opts)
arcsech(x,opts) arccsch(x,opts) arccoth(x,opts)
arctan(y,x,opts)
x
-
Tensor
y
opts
zero or more options as specified below
name=string
The value of option name specifies an optional name for this Tensor, to be displayed in output and when visualizing the dataflow graph.
The sin(x,opts) command computes the sine of elements across a Tensor.
The cos(x,opts) command computes the cosine of elements across a Tensor.
The tan(x,opts) command computes the tangent of elements across a Tensor.
The sec(x,opts) command computes the secant of elements across a Tensor.
The csc(x,opts) command computes the cosecant of elements across a Tensor.
The cot(x,opts) command computes the cotangent of elements across a Tensor.
The sinh(x,opts) command computes the hyperbolic sine of elements across a Tensor.
The cosh(x,opts) command computes the hyperbolic cosine of elements across a Tensor.
The tanh(x,opts) command computes the hyperbolic tangent of elements across a Tensor.
The sech(x,opts) command computes the hyperbolic secant of elements across a Tensor.
The csch(x,opts) command computes the hyperbolic cosecant of elements across a Tensor.
The coth(x,opts) command computes the hyperbolic cotangent of elements across a Tensor.
The arcsin, arccos, arctan, arcsec, arccsc, and arccot commands compute the inverse trigonometric functions.
The arcsinh, arccosh, arctanh, arcsech, arccsch, and arccoth commands compute the inverse hyperbolic trigonometric functions.
The arctan(y,x) computes the inverse tangent of y/x, similar to arctan.
with⁡DeepLearning:
x≔Constant⁡0.,1.57,3.141592,5.7,datatype=float4:
sin⁡x+cos⁡x
DeepLearning TensorShape: [4]Data Type: float[4]
sech⁡x
The DeepLearning/Tensor/sin, cos, ... command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
See Also
DeepLearning Overview
invtrig
trig
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