Results 91 to 100 of about 15,438 (311)

Dominion : an architecture-driven approach to generating efficient constraint solvers

open access: yes, 2011
This work is supported by the EPSRC grant “A Constraint Solver Synthesiser” (EP/H004092/1) and SICSA studentships.Constraints are used to solve combinatorial problems in a variety of industrial and academic disciplines.
Balasubramaniam, Dharini   +11 more
core   +1 more source

Absorption in Universal Algebra and CSP [PDF]

open access: yes, 2017
The algebraic approach to Constraint Satisfaction Problem led to many developments in both CSP and universal algebra. The notion of absorption was successfully applied on both sides of the connection.
Kozik, Marcin, Barto, Libor
core   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

The complexity of positive first-order logic without equality II: The four-element case [PDF]

open access: yes, 2010
We study the complexity of evaluating positive equality-free sentences of first-order (FO) logic over fixed, finite structures B. This may be seen as a natural generalisation of the non-uniform quantified constraint satisfaction problem QCSP(B ...
Martin, Jos   +3 more
core   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

open access: yesAdvanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang   +5 more
wiley   +1 more source

A Novel Multi-Thread Parallel Constraint Propagation Scheme

open access: yesIEEE Access, 2019
Constraint Programming (CP) is an efficient technique for solving combinatorial (optimization) problems. In modern constraint solver, a CP Model is defined over reversible variables that take values in domains and propagators which filter the domains of ...
Zhe Li   +4 more
doaj   +1 more source

Parameterized complexity of constraint satisfaction problems [PDF]

open access: yescomputational complexity, 2004
We prove a parameterized analog of Schaefer's Dichotomy Theorem: we show that for every finite boolean constraint family ?, deciding whether a formula containing constraints from ? has a satisfying assignment of weight exactly k is either fixed-parameter tractable (FPT) or W[1]-complete.
openaire   +2 more sources

Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling

open access: yes, 2000
Copyright @ 2000 IEEEThis paper presents a constraint satisfaction adaptive neural network, together with several heuristics, to solve the generalized job-shop scheduling problem, one of NP-complete constraint satisfaction problems.
Yang, S   +3 more
core   +1 more source

Ultrathin Li Metal Anodes: Quantitative Design Principles and Manufacturability Across Liquid and Solid‐State Batteries

open access: yesAdvanced Materials, EarlyView.
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang   +9 more
wiley   +1 more source

On the valued constraint satisfaction problem

open access: yes, 2018
The Valued Constraint Satisfaction Problem (VCSP) is a framework which captures many natural decision and optimisation problems. An instance of the VCSP consists of a set of variables, which are to be assigned labels from a finite domain, and a collection of local constraints, each specified by a weighted relation mapping labellings of the variables in
openaire   +3 more sources

Home - About - Disclaimer - Privacy