Monads provide a way of structuring functional programs. Most real applications require a combination of primitive monads. Here we describe how some monads may be combined with others to yield a combined monad.
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1415
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345
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325
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Call-by-name, call-by-value, and the λ-calculus
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Linear types can change the world
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Is there a use for linear logic
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77
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to replace failure by a list of successes
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68
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Single-threaded polymorphic lambda calculus
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63
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54
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Integrating functional and imperative programming
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39
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38
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33
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32
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Recursion Equations as a Programming Language
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31
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Expressing and reasoning about non-deterministic functional programs
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29
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Update analysis and the efficient implementation of functional aggregates
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21
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Constructing natural language interpreters in a lazy functional language
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8
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Higher order functions considered unnecessary for higher order programming
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4
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non-determinism, side-effects, and parallelism: a functional perspective
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3
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Form follows function
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3
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A simple and efficient way to handle large data structures in applicative languges
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3
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2
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Axiomatising operational equivalence in the presence of side effects
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