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Beskrivning
These papers deal with all stages of decision making under constraints: (1) formulating the problem of multi-criteria decision making in precise terms, (2) determining when the corresponding decision problem is algorithmically solvable;
Algorithmics of Checking Whether a Mapping Is Injective, Surjective,and/or Bijective.-Simplicity Is Worse Than Theft: A Constraint-Based Explanation of aSeemingly Counter-Intuitive Russian Saying.-Continuous If-Then Statements Are Computable.-Linear programming with Interval Type-2 fuzzy constraints.-Epistemic Considerations on Expert Disagreement, NormativeJustification, and Inconsistency Regarding Multi-Criteria Decision Making .-Interval Linear Programming Techniques in Constraint Programmingand Global Optimization.-Selecting the Best Location for a Meteorological Tower: A Case Studyof Multi-Objective Constraint Optimization.-Gibbs Sampling as a Natural Statistical Analog of ConstraintsTechniques: Prediction in Science under General Probabilistic Uncertainty .-Why Tensors.-Adding Constraints – A (Seemingly Counterintuitive but) UsefulHeuristic in Solving Difficult Problems.-Under Physics-Motivated Constraints, Generally-Non-Algorithmic Computational Problems Become Algorithmically Solvable.-Constraint-Related Reinterpretation of Fundamental PhysicalEquations Can Serve as a Built-In Regularization.-Optimization of the Choquet Integral using Genetic Algorithm .-Optimization of the Choquet Integral using Genetic Algorithm .-Scalable, Portable, Verifiable Kronecker Products on Multi-ScaleComputers.-Reliable and Robust Synthesis of QFT controller using ICSP.-Towards an Efficient Bisection of Ellipsoids .-.-An Auto-validating Rejection Sampler for Differentiable ArithmeticalExpressions: Posterior Sampling of Phylogenetic Quartets.-Graph Subdivision Methods in Interval Global Optimization .-An Extended BDI-Based Model for Human Decision-Making and SocialBehavior: Various Applications .-Why Curvature in L-Curve: Combining Soft Constraints .-Surrogate Models for Mixed Discrete-Continuous Variables Why Ellipsoid Constraints, Ellipsoid Clusters, and RiemannianSpace-Time: Dvoretzky’s Theorem Revisited