higher-order functions

HaXml brings with it a set of powerful higher order functions for operating on these "datafied" XML documents.

In Lisp, higher-order functions are trivial because functions are no different from any other kind of list.

Another example of the usage of closures and higher order functions in an object-oriented world is the Visitor pattern.

If you've ever used closures or higher-order functions, you might have a better understanding of the code in Listing 10.

By developing utility functions and methods as higher-order functions, you make your applications more robust.

Higher-order functions. A high-order function is one that either takes functions as arguments or returns a function.

I'll also circle back to some interesting comparisons between closures and higher-order functions in a later installment.

This is an extension of the "higher order functions" concept that functional programmers toss around.

Higher-order functions can either take other functions as arguments or return them as results.

The problems amenable to solution by using higher-order functions aren't unique to functional languages.

So based on the dynamic typing and higher-order functions, you can introduce arbitrary behavior to your classes at any time.

Higher-order functions do all of these things.

Higher-order functions offer a higher level of abstraction than object-oriented concepts.

But the strengths of JavaScript don't begin and end with higher-order functions.

Perhaps the most common use of higher-order functions is the lambda expression, which is Lisp's version of a closure.

See Resources for more about higher order functions.

I ve covered a lot of ground in writing modular code using functors and higher order functions.

First, having higher-order functions means that you can make assumptions about how language parts will fit together.

Arguments passed to higher-order functions, and then passed on as arguments to a closure's use keyword also retain their values