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26
Predicting the Drape of Woven Cloth Using Interacting Particles
, 1994
"... We demonstrate a physicallybased technique for predicting the drape of a wide variety of woven fabrics. The approach exploits a theoretical model that explicitly represents the microstructure of woven cloth with interacting particles, rather than utilizing a continuum approximation. By testing a cl ..."
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Cited by 126 (5 self)
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We demonstrate a physicallybased technique for predicting the drape of a wide variety of woven fabrics. The approach exploits a theoretical model that explicitly represents the microstructure of woven cloth with interacting particles, rather than utilizing a continuum approximation. By testing a cloth sample in a Kawabata fabric testing device, we obtain data that is used to tune the model's energy functions, so that it reproduces the draping behavior of the original material. Photographs, comparing the drape of actual cloth with visualizations of simulation results, show that we are able to reliably model the unique largescale draping characteristics of distinctly different fabric types. iii Figure 1.1: Draping cloth objects 1 Introduction The vast number of uses for cloth are mirrored in the extraordinary variety of types of woven fabrics. These range from the most exquisite fine silks, to the coarsest of burlaps, and are woven from such diverse fibers as natural wool and synth...
Decoding Choice Encodings
, 1999
"... We study two encodings of the asynchronous #calculus with inputguarded choice into its choicefree fragment. One encoding is divergencefree, but refines the atomic commitment of choice into gradual commitment. The other preserves atomicity, but introduces divergence. The divergent encoding is ..."
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Cited by 100 (5 self)
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We study two encodings of the asynchronous #calculus with inputguarded choice into its choicefree fragment. One encoding is divergencefree, but refines the atomic commitment of choice into gradual commitment. The other preserves atomicity, but introduces divergence. The divergent encoding is fully abstract with respect to weak bisimulation, but the more natural divergencefree encoding is not. Instead, we show that it is fully abstract with respect to coupled simulation, a slightly coarserbut still coinductively definedequivalence that does not enforce bisimilarity of internal branching decisions. The correctness proofs for the two choice encodings introduce a novel proof technique exploiting the properties of explicit decodings from translations to source terms.
A semantics for ML concurrency primitives
 In Proc. 17th Annual ACM Symposium on Principles of Programming Languages
, 1992
"... We present a set of concurrency primitives for Standard ML. We define these by giving the transitional semantics of a simple language. We prove that our semantics preserves the expected behaviour of sequential programs. We also show that we can define stores as processes, such that the representatio ..."
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Cited by 82 (3 self)
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We present a set of concurrency primitives for Standard ML. We define these by giving the transitional semantics of a simple language. We prove that our semantics preserves the expected behaviour of sequential programs. We also show that we can define stores as processes, such that the representation has the same behaviour as a direct definition. These proofs are the first steps towards integrating our semantics with the full definition of Standard ML. 1 Background and Motivation There have been several attempts to add concurrency primitives to Standard ML (SML) and related languages [Hol83, Mat91, Rep91a, CM90, Ber89]. However, when we began this work none of these implementations had a published formal definition. The formal definition of SML is an integral part of the development of the language. If we are to add concurrency to the language, it is essential that we have a formal semantics for the new constructs that is compatible with the existing definition. In this paper we prese...
Language Support for Mobile Agents
, 1995
"... Mobile agents are codecontaining objects that may be transmitted between communicating participants in a distributed system. As opposed to systems that only allow the exchange of nonexecutable data, systems incorporating mobile agents can achieve significant gains in performance and functionality. ..."
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Cited by 75 (2 self)
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Mobile agents are codecontaining objects that may be transmitted between communicating participants in a distributed system. As opposed to systems that only allow the exchange of nonexecutable data, systems incorporating mobile agents can achieve significant gains in performance and functionality. A programming language for mobile agents must be able to express their construction, transmission, receipt, and subsequent execution. Its implementation must handle architectural heterogeneity between communicating machines and provide sufficient performance for applications based on agents. In addition to these essential properties, an agent language may support desirable properties such as highlevel abstractions for code manipulation and the ability to access resources on remote execution sites. We designed and implemented an agent programming language that satisfies the essential properties and a number of desirable ones. A key feature of our language is the use of strong static typing ...
What is a `Good' Encoding of Guarded Choice?
 INFORMATION AND COMPUTATION
, 1997
"... The calculus with synchronous output and mixedguarded choices is strictly more expressive than the calculus with asynchronous output and no choice. As a corollary, Palamidessi recently proved that there is no fully compositional encoding from the former into the latter that preserves divergenc ..."
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Cited by 66 (2 self)
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The calculus with synchronous output and mixedguarded choices is strictly more expressive than the calculus with asynchronous output and no choice. As a corollary, Palamidessi recently proved that there is no fully compositional encoding from the former into the latter that preserves divergencefreedom and symmetries. This paper shows
Constraint logic programming  an informal introduction
 LOGIC PROGRAMMING IN ACTION, NUMBER 636 IN LNCS
, 1992
"... Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativity of logic programming with the efficiency of constraint solving. New application areas, amongst them many different classes of combinatorial search problems such as scheduling, planning or resource ..."
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Cited by 36 (8 self)
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Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativity of logic programming with the efficiency of constraint solving. New application areas, amongst them many different classes of combinatorial search problems such as scheduling, planning or resource allocation can now be solved, which were intractable for logic programming so far. The most important advantage that these languages offer is the short development time while exhibiting an efficiency comparable to imperative languages. This tutorial aims at presenting the principles and concepts underlying these languages and explaining them by examples. The objective of this paper is not to give a technical survey of the current state of art in research on CLP, but rather to give a tutorial introduction and to convey the basic philosophy that is behind the different ideas in CLP. It will discuss the currently most successful computation domains and provide an overview on the different consi...
Constraint Simplification Rules
, 1992
"... In current constraint logic programming systems, constraint solving is hardwired in a "black box". We are investigating the use of logic programs to define and implement constraint solvers 1 . The representation of constraint evaluation in the same formalism as the rest of the program g ..."
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Cited by 17 (3 self)
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In current constraint logic programming systems, constraint solving is hardwired in a "black box". We are investigating the use of logic programs to define and implement constraint solvers 1 . The representation of constraint evaluation in the same formalism as the rest of the program greatly facilitates the prototyping, extension, specialization and combination of constraint solvers. In our approach, constraints are specified by definite clauses provided by a host language, while constraint evaluation is specified using multiheaded guarded clauses called constraint simplification rules (SiRs) 2 . SiRs define determinate conditional rewrite systems that express how conjunctions of constraints simplify. They have been used to encode a range of constraint solvers in our prototype implementation. Additionally, the definite clauses specifying a constraint can be evaluated in the host language, if the constraint is "callable" and no SiR can simplify it further. In this way our appr...
The PADDY Partial Deduction System
, 1992
"... This report describes the PADDY partial deduction system. Its main features are that it can handle full Sepia, including advanced features; is automatic; always terminates; is provably correct on pure Prolog programs; uses a powerful adaptive transformation strategy; has fast transformation times; i ..."
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Cited by 16 (0 self)
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This report describes the PADDY partial deduction system. Its main features are that it can handle full Sepia, including advanced features; is automatic; always terminates; is provably correct on pure Prolog programs; uses a powerful adaptive transformation strategy; has fast transformation times; is based on an unfold/fold system.
Generalised Constraint Propagation Over the CLP Scheme
 Journal of Logic Programming
, 1992
"... Constraint logic programming is often described as logic programming with unification replaced by constraint solving over a computation domain. There is another, very different, CLP paradigm based on constraint satisfaction, where programdefined goals can be treated as constraints and handled using ..."
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Cited by 11 (4 self)
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Constraint logic programming is often described as logic programming with unification replaced by constraint solving over a computation domain. There is another, very different, CLP paradigm based on constraint satisfaction, where programdefined goals can be treated as constraints and handled using propagation. This paper proposes a generalisation of propagation, which enables it to be applied on arbitrary computation domains, revealing that the two paradigms of CLP are orthogonal, and can be freely combined. The main idea behind generalised propagation is to use whatever constraints are available over the computation domain to express restrictions on problem variables. Generalised propagation on a goal G requires that the system extracts a constraint approximating all the answers to G. The paper introduces a generic algorithm for generalised propagation called topological branch and bound which avoids enumerating all the answers to G. Generalised propagation over the Herbrand univers...