1. Standard ML; 2. Names, functions and types; 3. Lists; 4. Trees and concrete data; 5. Functions and infinite data; 6. Reasoning about functional programs; 7. Modules; 8. Imperative programming in ML; 9. Writing interpreters for the lambda-calculus; 10. A tactical theorem prover; Bibliography.
This new edition of a successful text treats modules in more depth, and covers the revision of ML language.
"The book is an excellent introduction to ML, but even better, it provides a good overview of functional programming." Jeffrey Putnam, Computing Review
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