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Introduction to Functional Programming and the Structure of Programming Languagesusing OCaml

Introduction to Functional Programming and the Structure of Programming Languagesusing OCaml

Introduction to Functional Programming and the Structure of Programming Languagesusing OCaml

Gert Smolka's "Introduction to Functional Programming and the Structure of Programming Languages using OCaml" is an extensive tutorial that deals with the functional principles of programming using OCaml. The document first addresses basic issues like syntax and semantics, thereby providing a solid grounding in the theoretical issues concerning programming languages. Polymorphic functions are considered, iteration has been discussed, and lists, constructor types, and trees have been dealt with, including linearization. The notes include practical aspects such as parsing and a mini OCaml interpreter to help in the implementation of functional languages. Additional topics include running time analysis, inductive correctness proofs, and arrays. It takes a well-rounded approach to functional programming and data structures; both theoretical ideas and practice are emphasized.

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s195 Pages
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Introduction to Functional Programming and the Structure of Programming Languagesusing OCaml

Introduction to Functional Programming and the Structure of Programming Languagesusing OCaml

Gert Smolka's "Introduction to Functional Programming and the Structure of Programming Languages using OCaml" is an extensive tutorial that deals with the functional principles of programming using OCaml. The document first addresses basic issues like syntax and semantics, thereby providing a solid grounding in the theoretical issues concerning programming languages. Polymorphic functions are considered, iteration has been discussed, and lists, constructor types, and trees have been dealt with, including linearization. The notes include practical aspects such as parsing and a mini OCaml interpreter to help in the implementation of functional languages. Additional topics include running time analysis, inductive correctness proofs, and arrays. It takes a well-rounded approach to functional programming and data structures; both theoretical ideas and practice are emphasized.

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