Discrete Mathematics for Computer Scientists |
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Page 71
... apply f twice ' , whereas ƒ ƒ means ' apply f once and multiply the answer by itself ' . In this case one can verify that [ ( af ( f · ƒ ) ) ( x3x + 2 ) ] ( 3 ) = 121 . 2.2.4 Lambda calculus The formation of λ - terms was described ...
... apply f twice ' , whereas ƒ ƒ means ' apply f once and multiply the answer by itself ' . In this case one can verify that [ ( af ( f · ƒ ) ) ( x3x + 2 ) ] ( 3 ) = 121 . 2.2.4 Lambda calculus The formation of λ - terms was described ...
Page 306
... apply for unifiers of two literals . In applying unification in logic programming we would first allow renaming of ( bound ) variables , to avoid clashes arising from subsequent substitutions , and then apply a ' unification algorithm ...
... apply for unifiers of two literals . In applying unification in logic programming we would first allow renaming of ( bound ) variables , to avoid clashes arising from subsequent substitutions , and then apply a ' unification algorithm ...
Page 435
... apply in more complicated situations ( see Knuth ( 1975 ) for a detailed discussion ) . - First , we note that the obvious method of solving either of these problems will take 2n - 3 pairwise comparisons . One applies the above ...
... apply in more complicated situations ( see Knuth ( 1975 ) for a detailed discussion ) . - First , we note that the obvious method of solving either of these problems will take 2n - 3 pairwise comparisons . One applies the above ...
Contents
The natural numbers | 1 |
Sets relations and functions | 52 |
Algebraic topics | 106 |
Copyright | |
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addition algorithm allowed apply assignment assume binary calculate called Chapter circuit codeword colours complexity connected consider correct corresponding deduce defined definition described determine digits digraph discussed edges elements encoding equal equation equivalence example Exercises expression Figure finite formal formula function give given graph Hence holds illustrate important induction input instance integer language least length linear logic look machine matrix means method multiplication natural Note notion obtain occur operations partial path positive possible primitive recursive probability problem proof propositional Prove Question relation represented result sequence Show shown in Figure space steps string subset Suppose symbols Table Theorem transitive tree true truth variables vector vertex vertices write