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Functional programming languages - Gallium
Functional programming languages - Gallium

Full text
Full text

... < x for every 1 < x < n precludes a path from crossing the AB line. It follows that the number of mappings is NQ9 >n(n) . An interesting argument [8, p. 163], yields a simple expression for this number. Figure 2b shows two additional points (0, 1), point A ! , and (ft + 1, ft + 2 ) , point B 1 . All ...
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... Lemma 10: Suppose n ≥ 3 and (Bn−2 , Ln−2 ) = (Bn−1 , Ln−1 ) = (k, k). Then γ≤k (Tn ) = γ≤k (Tn−1 ) + γ≤k (Tn−2 ) + 1 and (Ln , Bn ) = (0, 0). Proof: Let Dn−1 and Dn−2 be representative γ≤k -sets of Tn−1 and Tn−2 , respectively. Then D = Dn−2 ∪ Dn−1 ∪ {rn } is a representative γ≤k -set by Corollary 6 ...
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... When doing computable mathematics, we must abandon the idea that isomorphic structures are essentially identical. For example, under the standard ordering of the natural numbers, the successor relation is computable, but it is not hard to construct a computable linear ordering of type ω in which the ...
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An Eulerian-Lagrangian method for optimization problems governed

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CHAPTER 5 – 10/12/01

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Robust Services in Dynamic Systems

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12 Recognizing invertible elements and full ideals using finite

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A Framework for Expressing and Combining Preferences

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Corecursion

In computer science, corecursion is a type of operation that is dual to recursion. Whereas recursion works analytically, starting on data further from a base case and breaking it down into smaller data and repeating until one reaches a base case, corecursion works synthetically, starting from a base case and building it up, iteratively producing data further removed from a base case. Put simply, corecursive algorithms use the data that they themselves produce, bit by bit, as they become available, and needed, to produce further bits of data. A similar but distinct concept is generative recursion which may lack a definite ""direction"" inherent in corecursion and recursion. Where recursion allows programs to operate on arbitrarily complex data, so long as they can be reduced to simple data (base cases), corecursion allows programs to produce arbitrarily complex and potentially infinite data structures, such as streams, so long as it can be produced from simple data (base cases). Where recursion may not terminate, never reaching a base state, corecursion starts from a base state, and thus produces subsequent steps deterministically, though it may proceed indefinitely (and thus not terminate under strict evaluation), or it may consume more than it produces and thus become non-productive. Many functions that are traditionally analyzed as recursive can alternatively, and arguably more naturally, be interpreted as corecursive functions that are terminated at a given stage, for example recurrence relations such as the factorial.Corecursion can produce both finite and infinite data structures as result, and may employ self-referential data structures. Corecursion is often used in conjunction with lazy evaluation, to only produce a finite subset of a potentially infinite structure (rather than trying to produce an entire infinite structure at once). Corecursion is a particularly important concept in functional programming, where corecursion and codata allow total languages to work with infinite data structures.
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