
Healpix
 Referenced in 79 articles
[sw08860]
 data. Originally developed to address the data processing and analysis needs of the present generation ... paper we consider the requirements and implementation constraints on a framework that simultaneously enables...

DynIbex
 Referenced in 2 articles
[sw33002]
 library which is a library for constraint processing over real numbers. DynIbex offers...

BEE
 Referenced in 8 articles
[sw16989]
 finite domain constraint problems to CNF. Using BEE both eases the encoding process...

lineqGPR
 Referenced in 2 articles
[sw31421]
 Process Regression Models with Linear Inequality Constraints. Gaussian processes regression models with linear inequality constraints...

Harvey
 Referenced in 4 articles
[sw21395]
 testing by adding further ASP constraints in the process...

Pueblo
 Referenced in 34 articles
[sw00743]
 pruning power of the learned PB constraints, while keeping the overhead of adding them into ... problems, namely integer linear programming and preprocessing to CNF SAT, and present a thorough...

laGP
 Referenced in 28 articles
[sw14043]
 laGP: Local Approximate Gaussian Process Regression. Performs approximate GP regression for large computer experiments ... associated wrapper routines for blackbox optimization under constraints via an augmented Lagrangian scheme, and large...

CONLIN
 Referenced in 47 articles
[sw14151]
 approximate quadratic subproblems with nonnegativity constraints on the dual variables. Because each quadratic subproblem ... fact be singular), and no line search process is necessary. An important advantage...

SUPCRT92
 Referenced in 4 articles
[sw13444]
 data to define equilibrium constraints on geochemical processes in a wide variety of geologic systems...

MSOPSII
 Referenced in 13 articles
[sw11982]
 comprehensive constraint handling. The significant enhancements allow the new MSOPSII ranking process...

HYPROLOG
 Referenced in 14 articles
[sw02743]
 constraints solvers that may be available. Assumptions and abduction are especially useful for language processing ... abducibles (and assumptions as well) as CHR constraints...

pBO2GP3B
 Referenced in 2 articles
[sw42211]
 problems, with known and unknown constraints. Two Gaussian processes (GPs) are simultaneously constructed: one models ... function, whereas the other models the unknown constraints. The known constraint is penalized directly into...

TimeSquare
 Referenced in 4 articles
[sw15830]
 based editor of constraints, a polychronous clock calculus engine able to process a partial order...

ShapeOp
 Referenced in 7 articles
[sw39374]
 dynamic geometry processing, using a unified framework for optimization under constraints. Examples of its applications...

Pyomo
 Referenced in 77 articles
[sw04910]
 researchers, and practitioners. Modeling is a fundamental process in many aspects of scientific research, engineering ... formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from...

YANA
 Referenced in 4 articles
[sw35556]
 known constraints (e.g. growth constraints) in the EA calculation process. The redox metabolism around glutathione...

COMBAT
 Referenced in 4 articles
[sw03242]
 which BATs are most appropriate for their processes. In the current study, an integrated approach ... epsilon$constraint method followed by an interactive filtering process in order to select the most ... improved version of the widely used $epsilon$constraint method that overcomes some of its known...

ProjectLeader
 Referenced in 1 article
[sw01784]
 ProjectLeader: A constraintbased process support for the distributed design of componentbased products...

SAPA
 Referenced in 17 articles
[sw20683]
 that can handle durative actions, metric resource constraints, and deadline goals. It is designed ... linear time greedy postprocessing technique to improve execution flexibility of the solution plans ... planners for domains with metric and temporal constraints in the third International Planning Competition, held...

SparseFIS
 Referenced in 11 articles
[sw13736]
 Driven Learning of Fuzzy Systems With Sparsity Constraints. n this paper, we deal with ... phases: The first phase conducts a clustering process in the input/output feature space with iterative ... each rule separately (local learning approach). Sparsity constraints are applied in order to force linear ... based on highdimensional data from industrial processes and based on benchmark datasets from...