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Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or real. Solving mixed problems relies on ad hoc transformations. In another field, Abstract Interpretation offers tools to prove program properties, by studying an abstraction of their concrete semantics, that is, the set of possible values of the variables during an execution. Various representations

Constraint programming (Computer science) --- Computer programming

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Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision,

Computer. Automation --- Constraint programming (Computer science). --- Constraint programming (Computer science) --- Computer programming

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The volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology".

Numerical analysis. --- Numeric Computing. --- Mathematical analysis --- Combinatorial optimization --- Artificial intelligence --- Constraint programming (Computer science) --- Data processing --- Optimization, Combinatorial --- Combinatorial analysis --- Mathematical optimization --- Numerical Analysis.

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This volume contains selected and thoroughly revised papers plus contributions from invited speakers presented at the First International Workshop on C- straint Solving and Language Processing, held in Roskilde, Denmark, September 1–3, 2004. Constraint Programming and Constraint Solving, in particular Constraint Logic Programming, appear to be a very promising platform, perhaps the most promising present platform, for bringing forward the state of the art in natural language processing, this due to the naturalness in speci?cation and the direct relation to e?cient implementation. Language, in the present context, may - fer to written and spoken language, formal and semiformal language, and even general input data to multimodal and pervasive systems, which can be handled in very much the same ways using constraint programming. The notion of constraints, with slightly di?ering meanings, apply in the ch- acterization of linguistic and cognitive phenomena, in formalized linguistic m- els as well as in implementation-oriented frameworks. Programming techniques for constraint solving have been, and still are, in a period with rapid devel- ment of new e?cient methods and paradigms from which language processing can pro?t. A common metaphor for human language processing is one big c- straintsolvingprocessinwhichthedi?erent(-lyspeci?ed)linguisticandcognitive phases take place in parallel and with mutual cooperation, which ?ts quite well with current constraint programming paradigms.

Artificial intelligence. --- Computer programming. --- Programming languages (Electronic computers). --- Mathematical logic. --- Artificial Intelligence. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters. --- Mathematical Logic and Formal Languages. --- Constraint programming (Computer science) --- Logic programming --- Natural language processing (Computer science)

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Constraint programming (Computer science) --- Constraints (Artificial intelligence) --- Programmation par contraintes --- Contraintes (Intelligence artificielle) --- Periodicals. --- Périodiques --- #TS:WMAG --- #TS:WDEP --- 681.3 --- Computer science --- Periodicals --- Business, Economy and Management --- Information Technology --- Life Sciences --- Mathematical Sciences --- Operations Research --- General and Others --- Micro and Molecular Biology --- Algorithms --- Applied Mathematics --- Combinatorics --- Mathematical Analysis & Logic --- Périodiques --- EJINFOR EJINGEN EPUB-ALPHA-C EPUB-PER-FT SPRINGER-E --- 681.3* / / / / / / / / / / / / / / / / / / / / / / / / / / / / --- Constraint satisfaction (Artificial intelligence) --- Artificial intelligence --- Computer programming --- Computers. --- Computers --- Constraint programming (Computer science) - Periodicals --- Constraints (Artificial intelligence) - Periodicals