@@ -20,7 +20,6 @@ Most users will want to work with a limited set of basic functions:
2020* ` second_derivative() ` : Use this for functions from R to R
2121* ` gradient() ` : Use this for functions from R^n to R
2222* ` hessian() ` : Use this for functions from R^n to R
23- * ` integrate() ` : Use this to integrate functions from R to R
2423* ` differentiate() ` : Use this to perform symbolic differentiation
2524* ` simplify() ` : Use this to perform symbolic simplification
2625* ` deparse() ` : Use this to get usual infix representation of expressions
@@ -104,33 +103,17 @@ derivative you calculate:
104103 f''(1.0) - (-sin(1.0))
105104 f'''(1.0) - (-cos(1.0))
106105
107- ## Integration using Simpson's Rule
108-
109- using Calculus
110-
111- # Compare with log(2)
112- integrate(x -> 1 / x, 1.0, 2.0)
113-
114- # Compare with cos(pi) - cos(0)
115- integrate(x -> -sin(x), 0.0, float64(pi))
116-
117- ## Integration using Monte Carlo method
118-
119- using Calculus
120-
121- # Compare with cos(pi) - cos(0)
122- integrate(x -> -sin(x), 0.0, float64(pi), :monte_carlo)
123-
124106## Symbolic Differentiation
125107
126108 using Calculus
127109
128110 differentiate("cos(x) + sin(x) + exp(-x) * cos(x)", :x)
129111 differentiate("cos(x) + sin(y) + exp(-x) * cos(y)", [:x, :y])
130112
131- # Coming Soon
113+ ## Numerical Integration
132114
133- * Finite differencing based on complex numbers
115+ The Calculus package no longer provides routines for univariate numerical integration.
116+ Use the `` quadgk `` method from base Julia instead.
134117
135118# Credits
136119
@@ -142,6 +125,7 @@ Calculus.jl is built on contributions from:
142125* Nathaniel Daw
143126* Blake Johnson
144127* Avik Sengupta
128+ * Miles Lubin
145129
146130And draws inspiration and ideas from:
147131
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