• 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 pre-processing 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 non-negativity 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...
  • MSOPS-II

  • Referenced in 13 articles [sw11982]
  • comprehensive constraint handling. The significant enhancements allow the new MSOPS-II 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...
  • pBO-2GP-3B

  • 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 constraint-based process support for the distributed design of component-based products...
  • SAPA

  • Referenced in 17 articles [sw20683]
  • that can handle durative actions, metric resource constraints, and deadline goals. It is designed ... linear time greedy post-processing 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 high-dimensional data from industrial processes and based on benchmark datasets from...