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Precomputation is one important way to amortize the costs of computation in F#. Another is called memoization. A memoizing function is one that avoids recomputing its results by keeping an internal table, often called a lookaside table. For example, consider the well-known Fibonacci function, whose naive, unmemoized version is as follows: let rec fib n = if n <= 2 then 1 else fib (n-1) + fib (n-2) Not surprisingly, a version keeping a lookaside table is much faster: #nowarn "40" // do not warn on recursive computed objects and functions let fibFast = let t = new System.Collections.Generic.Dictionary<int,int>() let rec fibCached n = if t.ContainsKey(n) then t.[n] else if n <= 2 then 1 else let res = fibCached(n-1) + fibCached(n-2) t.Add(n,res) res fun n -> fibCached n On one of our laptops, with n = 30, the first runs in 3.65 seconds, and the second runs in 0.015 seconds. Listing 8-4 shows how to write a generic function that encapsulates the memoization technique. Listing 8-4. A Generic Memoization Function open System.Collections.Generic let memoize (f: 'T -> 'U) = let t = new Dictionary<'T,'U>(HashIdentity.Structural) fun n -> if t.ContainsKey(n) then t.[n] else let res = f n t.Add(n,res) res let rec fibFast = memoize (fun n -> if n <= 2 then 1 else fibFast (n-1) + fibFast (n-2)) Here, the functions have the following types: val memoize : ('T -> 'U) -> ('T -> 'U) when 'T : equality val fibFast : (int -> int) In the definition of fibFast, you use let rec because fibFast is self-referential that is, used as part of its own definition. You can think of fibFast as a computed, recursive function. Such a function



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We support rendering of the PDF content in our PDF viewer control ... NET WPF Viewer control supports viewing and converting PDF, DOCX, DOC, BMP, JPEG, ...

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generates an informational warning when used in F# code, because it s important to understand when this feature of F# is being used; you then suppress the warning with #nowarn "40" As with the examples of computed functions from the previous section, it s important not to include the extra argument in the application of memoize, because it would lead to a fresh memoization table being allocated each time the function fibNotFast was called: let rec fibNotFast n = memoize (fun n -> if n <= 2 then 1 else fibNotFast (n-1) + fibNotFast (n-2)) n Due to this subtlety, it s often a good idea to define your memoization strategies to generate objects other than functions (note that you can think of functions as very simple kinds of objects).





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in C# System.Diagnostics.Process.Start(path); in managed C++. System:: Diagnostics::Process::Start(path);.

For example, Listing 8-5 shows how to define a new variation on memoize that returns a Table object that supports both a lookup and a Discard method Listing 8-5 A Generic Memoization Service open SystemCollectionsGeneric type Table<'T,'U> = abstract Item : 'T -> 'U with get abstract Discard : unit -> unit let memoizeAndPermitDiscard f = let lookasideTable = new Dictionary<_,_>(HashIdentityStructural) { new Table<'T,'U> with member tItem with get(n) = if lookasideTableContainsKey(n) then lookasideTable[n] else let res = f n lookasideTableAdd(n,res) res member tDiscard() = lookasideTableClear() } #nowarn "40" // do not warn on recursive computed objects and functions let rec fibFast = memoizeAndPermitDiscard (fun n -> printfn "computing fibFast %d" n if n <= 2 then 1 else fibFast[n-1] + fibFast[n-2]) In Listing 8-5, lookup uses the a.

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A ChoiceGroup is essentially a menu, providing support for familiar types of menu functionality such as EXCLUSIVE (radio buttons) or IMPLICIT (the currently focused item is selected when a command or select key is pressed) A CustomItem allows you to draw anything you want within the CustomItem s region of the screen (in the same way you would draw on a Canvas; see the next section for how to do it) and when the Item is the focused Item on the Form, the CustomItem allows you to respond to keystrokes in the same way you would respond to keystrokes on a Canvas In fact, a CustomItem is very much like a small Canvas that can be placed on a Form.

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[b] associative Item lookup property syntax, and the Discard method discards any internal partial results The functions have the following types: val memoizeAndPermitDiscard : ('T -> 'U) -> Table<'T, 'U> when 'T : equality val fibFast : Table<int,int> Here s an example showing how fibFast caches results but recomputes them after a Discard:.

Hardware capabilities are locked in stone. If your device doesn t have a camera, it won t ever have a camera. The OS, though, is much more fluid, and can evolve over time. Because your software runs on top of the OS, you must carefully note the OS availability and features as you port to different phones.

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