Yun-Yan Chi and Shin-Cheng Mu. In the 9th Asian Symposium on Programming Languages and Systems (APLAS 2011), LNCS 7078, pages 74-88.
The well-known third list homomorphism theorem states that if a function
h is both an instance of
foldl, it is a list homomorphism. Plenty of previous works devoted to constructing list homomorphisms, however, overlook the fact that proving
h is both a
foldr and a
foldl is often the hardest part which, once done, already provides a useful hint about what the resulting list homomorphism could be. In this paper we propose a new approach: to construct a possible candidate of the associative operator and, at the same time, to transform a proof that
h is both a
foldr and a
foldl to a proof that
h is a list homomorphism. The effort constructing the proof is thus not wasted, and the resulting program is guaranteed to be correct.
Shin-Cheng Mu and Akimasa Morihata. In the 16th ACM SIGPLAN International Conference on Functional Programming (ICFP 2011), pages 385-391.
The third list-homomorphism theorem says that a function is a list homomorphism if it can be described as an instance of both a
foldr and a
foldl. We prove a dual theorem for unfolds and generalise both theorems to trees: if a function generating a list can be described both as an
unfoldr and an
unfoldl, the list can be generated from the middle, and a function that processes or builds a tree both upwards and downwards may independently process/build a subtree and its one-hole context. The point-free, relational formalism helps to reveal the beautiful symmetry hidden in the theorem.
Shin-Cheng Mu and José Nuno Oliveira. In the 12th International Conference on Relational and Algebraic Methods in Computer Science (RAMiCS #12), LNCS 6663, pages 294-313. May 30 – June 3, 2011.
Problem statements often resort to superlatives such as in eg. “… the smallest such number”, “… the best approximation”, “… the longest such list” which lead to specifications made of two parts: one defining a broad class of solutions (the easy part) and the other requesting the optimal such solution (the hard part).
This paper introduces a binary relational combinator which mirrors this linguistic structure and exploits its potential for calculating programs by optimization. This applies in particular to specifications written in the form of Galois connections, in which one of the adjoints delivers the optimal solution at target.
The framework encompasses re-factoring of results previously developed by Bird and de Moor for greedy and dynamic programming, in a way which makes them less technically involved and therefore easier to understand and play with.
An accompanying technical report is available online.
Kazutaka Matsuda, Shin-Cheng Mu, Zhenjiang Hu, and Masato Takeichi. In 19th European Symposium on Programming (ESOP 2010), LNCS 6012, pp 448-467, March 2010. [PDF]
Program inversion has many applications such as in the implementation of serialization/deserialization and in providing support for redo/undo, and has been studied by many researchers. However, little attention has been paid to two problems: how to characterize programs that are easy or hard to invert and whether, for each class of programs, efficient inverses can be obtained. In this paper, we propose an inversion framework that we call grammar-based inversion, where a program is associated with an unambiguous grammar describing the range of the program. The complexity of the grammar indicates how hard it is to invert the program, while the complexity is related to how efficient an inverse can be obtained.
S-C. Mu, H-S. Ko, and P. Jansson. In Mathematics of Program Construction 2008, LNCS 5133, pp 268-283. July 2008. [PDF]
Dependent type theory is rich enough to express that a program satisfies an input/output relational specification, but it could be hard to construct the proof term. On the other hand, squiggolists know very well how to show that one relation is included in another by algebraic reasoning. We demonstrate how to encode functional and relational derivations in a dependently typed programming language. A program is coupled with an algebraic derivation from a specification, whose correctness is guaranteed by the type system.
Code accompanying the paper has been developed into an Agda library AoPA.
S-C. Mu. In Partial Evaluation and Program Manipulation (PEPM ’08), pp 31-39. January 2008. (20/74) [PDF] [GZipped Postscript]
It may be surprising that variations of the maximum segment sum (MSS) problem, a textbook example for the squiggolists, are still active topics for algorithm designers. In this paper we examine the new developments from the view of relational program calculation. It turns out that, while the classical MSS problem is solved by the Greedy Theorem, by applying the Thinning Theorem, we get a linear-time algorithm for MSS with upper bound on length.
To derive a linear-time algorithm for the maximum segment density problem, on the other hand, we purpose a variation of thinning based on an extended notion of monotonicity. The concepts of left-negative and right-screw segments emerge from the search for monotonicity conditions. The efficiency of the resulting algorithms crucially relies on exploiting properties of the set of partial solutions and design efficient data structures for them.
K. Nakano and S-C. Mu. In The Fourth Asian Symposium on Programming Language and Systems, LNCS 4279, pp. 340-356, November 2006.
XML transformations are most naturally defined as recursive functions on trees. A naive implementation, however, would load the entire input XML tree into memory before processing. In contrast, programs in stream processing style minimise memory usage since it may release the memory occupied by the processed prefix of the input, but they are harder to write because the programmer is left with the burden to maintain a state. In this paper, we propose a model for XML stream processing and show that all programs written in a particular style of recursive functions on XML trees, the macro forest transducer, can be automatically translated to our stream processors.
The stream processor is declarative in style, but can be implemented efficiently by a pushdown machine. We thus get the best of both worlds — program clarity, and efficiency in execution.
S-C. Mu, Z. Hu and M. Takeichi. In The Second Asian Symposium on Programming Language and Systems, pp. 2-18. November 2004.
In many occasions would one encounter the task of maintaining the consistency of two pieces of structured data related by some transform — synchronising bookmarks in different web browsers, the source and the view in an editor, or views in databases, to name a few. This paper proposes a formal model of such tasks, basing on a programming language allowing injective functions only, inspired by previous work on program inversion. The programmer designs the transformation as if she is writing a functional program, while the synchronisation behaviour is automatically derived by algebraic reasoning. The main advantage is being able to deal with duplication and structural changes. The result will be integrated to our structure XML editor in the Programmable Structured Document project.
Z. Hu, S-C. Mu and M. Takeichi. In Partial Evaluation and Semantics-Based Program Manipulation, pp. 178-189. August 2004.
This paper presents a novel editor supporting interactive refinement in the development of structured documents. The user performs a sequence of editing operations on the document view, and our system automatically derives an efficient and reliable document source and a transformation that produces the document view. The editor is unique in its programmability, in the sense that transformation can be obtained through editing operations. The
important techniques behind this editor are the utilization of the view-updating idea developed in the database community, and a bidirectional transformation language that concisely describes the relationship between the document source and its view, as well as data dependency in the view.
S-C. Mu, Z. Hu and M. Takeichi. In Mathematics of Program Construction 2004, LNCS 3125, pp. 289-313, July 2004.
Erasure of information incurs an increase in entropy and dissipatse heat. Therefore, information-preserving computation is essential for constructing computers that use energy more effectively. A more recent motivation to understand reversible transformations also comes from the design of editors where editing actions on a view need to be reflected back to the source data.
In this paper we present a point-free functional language, with a relational semantics, in which the programmer is allowed to define injective functions only. Non-injective functions can be transformed into a program returning a history. The language is presented with many examples, and its relationship with Bennett’s reversible Turing machine is explained.
The language serves as a good model for program construction and reasoning for reversible computers, and hopefully for modelling bi-directional updating in an editor.