This book contains below topics, Programming in Standard ML, Types, values, and effects, Declarations, Functions, Products and records, Case analysis, Recursive functions, Concrete data types, Higher order functions, Modules.
Author(s): Robert Harper, Carnegie Mellon University
297 Pages
Functional Programming by Tyng Ruey Chuang
This PDF covers the following topics related to Functional Programming, Basics of functional programming, Fold or unfold functions, Parametric modules, Function, evaluation, and binding, Fold or unfold functions for data types.
Author(s): Tyng–Ruey Chuang
21 Pages
Functional Programming Lecture Notes by David Walker
David Walkers Functional Programming Lecture Notes give quite an extended introduction to functional programming using OCaml. The notes introduce the reader to the very basics of OCaml and simple manipulations of data, from thinking in recursion to problemsolving. It covers Polymorphism and HigherOrder programming, commonly referred to as PolyHO. It will discuss functions operating on other functions and even data. Pipelines and datatypes have been explained purely from functional programming paradigms. It first introduces the functional evaluation model and functional space model, thereby introducing the reader to the theoretical points of view of functional programming. Equational reasoning, modules, functors, and modular reasoning are other topics treated within this context, while more practical aspects concern mutable data structures, threads, and parallel complexity models. This book will no doubt be very useful to those readers who would wish to become acquainted with both the theory and practice of functional programming.
Author(s): David Walker
NA Pages
Introduction to Functional Programming
John Harrisons Introduction to Functional Programming, This set of notes provides a very accessible introduction to the fundamental principles and methods of functional programming in general. The PDF begins with an investigation of lambda calculus as a theoretical framework for functional programming and proceeds further with the review of its application as a programming language. Types are considered in the notes just to give a glimpse into type systems and how they play their role in functional programming. This document serves as an introduction to ML, a metalanguage that practically introduces the concepts of programming. It also covers the importance of proving programs correct by describing methods for the reliability of programs. Finally, effective ML covers the best practices and techniques to write robust and efficient functional programs. This book is a good reference for learners who want to understand both the theoretical underpinnings and practical application of functional programming.
Author(s): John Harrison
168 Pages
