/*
   Copyright 2010 Aaron J. Radke

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
*/
package cc.drx

object Experimental {
   /**a convenience function for writing univariate functions (unless heavily used not worth the extra dependency and namespace clutter)
    * i.e. `val q = Df(2 + _/256)` is better than `val q = (d:Double) => 2 + d/256)
    * Consider the following variations:
    *   def q(num:Double):Double = 2d + num/256d
    *   val q = (num:Double) => 2d + num/256d
    *   val q:Double=>Double = 2d + _/256d
    *   val q = (d:Double) => 2 + d/256
    *   val q = Df(2d + _/256d)
    * */
   def Df[A](f:Double=>A):Double=>A = f //for type inference?
}