Notes on Functional Programming with Haskell (PDF 184P)
This note covers the following topics: functions and their definitions, using the hugs interpreter, haskell basics, higher order functions, more list notations, more on data types, input-output, haskell laws, program synthesis, models of reduction, divide and conquer algorithms, infinite data structures.
Author(s): H. Conrad Cunningham
184 Pages 
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 by Loyola Marymount University
This page covers the following topics related to Functional Programming, The Basics, Language Support, Moving From Imperative to Functional, Higher Order Functions, Closures, Purity and Side Effects, Theoretical Foundations, Functional vs. ObjectOriented, PointFree Programming, Summary.
Author(s): Loyola Marymount University
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
