tf.math.special.dawsn
    
    
      
    
    
      
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Computes Dawson's integral of x element-wise.
tf.math.special.dawsn(
    x, name=None
)
Dawson's integral is defined as exp(-x**2) times the integral of
exp(t**2) from 0 to x, with the domain of definition all real numbers.
Dawson's function is odd.
>>> tf.math.special.dawsn([-1., -0.5, 0.5, 1.]).numpy()
array([-0.5380795, -0.4244364, 0.4244364,  0.5380795], dtype=float32)
This implementation is based off of the Cephes math library.
Args | 
x
 | 
A Tensor or SparseTensor. Must be one of the following types:
float32, float64.
 | 
name
 | 
A name for the operation (optional).
 | 
Returns | 
A Tensor or SparseTensor, respectively. Has the same type as x.
 | 
Scipy Compatibility
Equivalent to scipy.special.dawsn
  
  
 
  
    
    
      
    
    
  
       
    
    
  
  
  Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
  Last updated 2021-05-14 UTC.
  
  
  
    
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