Tom Schrijvers

Build powerful software solutions and develop proficiency in Haskell, from understanding the foundational principles through to mastering advanced functional programming concepts Key Features Learn from an expert lecturer and researcher who knows all the ins and outs of Haskell Develop a clear understanding of Haskell, from the basics through to advanced concepts Get to grips with all the key functional programming techniques Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith software systems reaching new levels of complexity and programmers aiming for the highest productivity levels, software developers and language designers are turning toward functional programming because of its powerful and mature abstraction mechanisms. This book will help you tap into this approach with Haskell, the programming language that has been leading the way in pure functional programming for over three decades. The book begins by helping you get to grips with basic functions and algebraic datatypes, and gradually adds abstraction mechanisms and other powerful language features. Next, you’ll explore recursion, formulate higher-order functions as reusable templates, and get the job done with laziness. As you advance, you’ll learn how Haskell reconciliates its purity with the practical need for side effects and comes out stronger with a rich hierarchy of abstractions, such as functors, applicative functors, and monads. Finally, you’ll understand how all these elements are combined in the design and implementation of custom domain-specific languages for tackling practical problems such as parsing, as well as the revolutionary functional technique of property-based testing. By the end of this book, you’ll have mastered the key concepts of functional programming and be able to develop idiomatic Haskell solutions.What you will learn Write pure functions in all their forms – that is basic, recursive, and higher-order functions Model your data using algebraic datatypes Master Haskell’s powerful type-class mechanism for ad hoc overloading Find out how Haskell’s laziness gets the job done Reconcile Haskell’s functional purity with side effects Familiarize yourself with the functor, applicative functor, monad hierarchy Discover how to solve problems with domain-specific languages Find more bugs with Haskell’s property-based testing approach Who this book is for If you are a programmer looking to gain knowledge of Haskell who’s never been properly introduced to functional programming, this book is for you. Basic experience with programming in a non-functional language is a prerequisite. This book also serves as an excellent guide for programmers with limited exposure to Haskell who want to deepen their understanding and foray further into the language.

The ultimate beginners' guide to mastering functional programming from the ground up

Soar with Haskell

Thom Frühwirth

The Constraint Handling Rules (CHR) language is a declarative concurrent committed-choice constraint logic programming language consisting of guarded rules that transform multisets of relations called constraints until no more change occurs. The CHR language saw the light more than 15 years ago. Since then, it has become a major declarative specification and implementation language for constraint-based algorithms and applications. In recent years, five workshops on constraint handling rules have spurred the exchange of ideas within the CHR community, which has led to increased international collaboration, new theoretical results and optimized implementations. The aim of this volume was to attract high-quality research papers on these recent advances in Constraint Handling Rules. The 7 papers presented together with an introductory paper on CHR cover topics on search, applications, theory, and implementation of CHR.

Current Research Topics

Constraint Handling Rules

The ConstraintHandling Rules (CHR) languagecameto life morethan 15 years ago.Sincethen,ithasbecomeamajordeclarativespeci?cationandimplemen- tion language for constraint-based algorithms and applications. In recent years, the ?ve Workshops on Constraint Handling Rules have spurred the exchange of ideas within the CHR community, which has led to increased international collaboration, new theoretical results and optimized implementations. The aim of this volume of Lecture Notes in Ariti?cial Intelligence was to attract high-quality research papers on these recent advances in CHR. The 8 papersinthis issuewereselectedfrom11submissionsaftercarefulreviewingand subsequent revisions. Each paper was reviewd by three reviewers. The accepted papers represent some of the research teams on CHR around the world. It is not by accident that the currently most active research group is featured here with three articles. We also would have liked to see contributions from other CHR teams, but space is limited and the reviewers took their job seriously. After an introductory article that foreshadows an upcoming monograph on CHR, the accepted papers span a range of current research topics in the CHR community. It goes from extending the CHR language with search facilities and the related adaptive framework, and from generating rules from speci?cations of constraint solvers to implementing abductive probabilistic reasoning. They cover the theory that is a compositional semantics for CHR and ?nally describe e?cient implementations of CHR in traditional mainstream programming l- guages and compiler optimizations in the context of the re?ned semantics of CHR. Wewouldliketothanktheauthorsofsubmittedpapersandthemanyrevi- ers for their contribution in making this collection of research papers possible.

Tom Schrijvers

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