COMP2022: Formal Languages and Logic – 2018, Semester 2, Week 6 COMP2022: Formal Languages and Logic 2018, Semester 2, Week 6 Joseph Godbehere 6th September, 2018 COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been reproduced and communicated to you by or on behalf of the University of Sydney pursuant to part VB […]
COMP2022: Formal Languages and Logic – 2018, Semester 2, Week 2 COMP2022: Formal Languages and Logic 2018, Semester 2, Week 2 Joseph Godbehere 9th August, 2018 COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been reproduced and communicated to you by or on behalf of the University of Sydney pursuant to part VB
1 Lists [30%] Exercise 1.1 Let Q, K, and A be arbitrary expressions. Consider the Church encoding for the list {Q,K,A}. • Write the expression needed to construct this list using CONS • Rewrite the CONS macros to write the expression using the PAIR, TRUE and FALSE macros Exercise 1.2 Let H ≡ ( λfga.(ISNIL
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Chapter 7 Parametricity Write down the definition of a polymorphic function on a piece of paper. Tell me its type, but be careful not to let me see the function’s definition. I will tell you a theorem that the function satisfies. – Philip Wadler, “Theorems for free!” Polymorphism allows a single piece of code to
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COMP2022: Formal Languages and Logic – 2018, Semester 2, Week 3 COMP2022: Formal Languages and Logic 2018, Semester 2, Week 3 Joseph Godbehere 16th August, 2018 COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been reproduced and communicated to you by or on behalf of the University of Sydney pursuant to part VB
Practice Questions for Midterm Exam README.md minor an hour ago README.md Midterm Exam Preparation The problems below are similar to what you can expect for the midterm, though some are slightly harder than what I’ll ask in the exam. Static vs. Dynamic Scoping Consider the following program: 1: var b = 2 2: def f():
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A Short Introduction to Systems F and F ω Pablo Nogueira 22nd February 2006 Contents 1 Introduction 2 2 Preliminaries 2 3 Pure Simply Typed Lambda Calculus 3 4 Adding primitive types and values. 6 5 Adding parametric polymorphism: System F 8 6 Adding type operators: System F ω 9 7 Adding general recursion 12
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Chapter 2 Lambda calculus The lambda calculus serves as the basis of most functional programming lan- guages. More accurately, we might say that functional programming languages are based on the lambda calculi (plural), since there are many variants of lambda calculus. In this chapter we’ll introduce three of these variants, starting with the simply typed
程序代写代做代考 Agda ocaml algorithm Excel Lambda Calculus flex Haskell compiler Chapter 2 Read More »
CS314-Fall-2018-Assign7-Solution 1 Scheme Programming 1.1 ((lambda(x)(lambda(y)((lambda(z)e)v3)v2))v1) 1.2 (define maxAbsoluteVal (lambda(l) (let ((mal (map (lambda(x)(abs x)) l) )) (reduce (lambda(x y) (if (> x y) x y) ) mal -inf.0 ) ) ) ) 2 Lambda Calculus 2.1 (((λx.x)(λx.28))(λz.z))=((λx.28)(λz.z))=28 No other order 2.2 ((λx.((λz.((λx.(z x)) 2))(λy.(* x y)))) 6) =((λx.((λz.(z 2))(λy.(* x y)))) 6) 1 =((λx.((λy.(*
程序代写代做代考 scheme Lambda Calculus CS314-Fall-2018-Assign7-Solution Read More »
Errata for Advanced Functional Programming lecture notes 2016 February 8, 2016 Lambda calculus • (p14) In the first paragraph together with B under the type ∃𝛼 ∶∶ 𝐾.𝐴 was originally written together with B under the type ∃𝛼 ∶∶ 𝐾.𝐵 • (p19) In the definition of List, there was a missing ⇒. Type inference •