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Readme.md

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@@ -65,8 +65,8 @@ We then enter a q environment and define our parameters as q objects.
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```
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>>> q()
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q) alpha:0.5f
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q) x:(2.0, 2.0, 2.0, 2.0f)
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q) y:(4.0, 4.0, 4.0, 4.0f)
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q) x:4#2 2 2 2f
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q) y:4#4 4 4 4f
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```
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Finally, we exit the q environment and invoke the NAG routine.
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nrmgrd: float
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```
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Within our interactive PyQ session, we again begin by entering a q environment and defining our parameters as q objects.
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Within our interactive PyQ session, we begin importing the correlationby entering entering a q environment.
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```
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>>>
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>>> q()
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```
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Next, we define our parameters as q objects.
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```
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q) alpha:0.5f
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q) x:(2.0, 2.0, 2.0, 2.0f)
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q) g:(2.0, -1.0, 0.0, 0.0f; -1.0, 2.0, -1.0, 0.0f;
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0.0, -1.0, 2.0, -1.0f; 0.0, 0.0, -1.0, 2.0f)
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q) x:4#2 2 2 2f
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q) g:4 4#2 -1 0 0 -1 2 -1 0 0 -1 2 -1 0 0 -1 2f
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q) opt:”B”
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q) alpha:0.02f
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q) w:(100.0, 20.0, 20.0, 20.0f)
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q) w:4#100 20 20 20f
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```
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We then exit the q environment and invoke the NAG routine.
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abserr: float
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```
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We start by entering a q environment and defining our parameters as q objects.
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We start by importing the quadrature module, then enter a q environment.
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```
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>>> from naginterfaces.library import quad
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>>> q()
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q) a:0.0f
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q) b:2.0f
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q) epsabs:0.0f
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```
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Next, we define our parameters as q objects.
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```
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q) a:0f
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q) b:2f
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q) epsabs:0f
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q) epsrel:0.0001f
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```
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@@ -166,7 +177,7 @@ Next, we exit the q environment and define an integrable Python function. To sa
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```
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q) \
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>>> f(x):
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... return x*x
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return x*x
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...
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```
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