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Approximate denial constraints [PDF]
Proceedings of the VLDB Endowment, 2020 The problem of mining integrity constraints from data has been extensively studied over the past two decades for commonly used types of constraints, including the classic Functional Dependencies (FDs) and the more general Denial Constraints (DCs). In this paper, we investigate the problem of mining from data approximate DCs, that is, DCs that are ...
Ester Livshits +3 more
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Updatable Materialization of Approximate Constraints [PDF]
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021 Modern big data applications integrate data from various sources. As a result, these datasets may not satisfy perfect constraints, leading to sparse schema information and non-optimal query performance. The existing approach of PatchIndexes enable the definition of approximate constraints and improve query performance by exploiting the materialized ...
Steffen Kläbe +2 more
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A method for relaxing state constraints in nonsmooth optimal control problems
Журнал Белорусского государственного университета: Математика, информатика, 2022 In this paper, we consider the optimal control problem described by a system of ordinary differential equations in the presence of state constraints.
Michael P. Dymkov, Siarhey M. Dymkou
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Local Modal Frequency Improvement with Optimal Stiffener by Constraints Transformation Method
Applied Sciences, 2021 Local modal vibration could adversely affect the dynamical environment, which should be considered in the structural design. For the mode switching phenomena, the traditional structural optimization method for problems with specific order of modal ...
Shenyan Chen +4 more
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A Novel Local Search-Based Approximation Algorithm to Optimize Virtual Machine Placement With Resource Constraints [PDF]
MATEC Web of Conferences, 2021 Many problems in cloud computing are not solvable in polynomial time and only option left is to choose approximate solution instead of optimum. Virtual Machine placement is one of such problem with resource constraints in which overall objective is to ...
Maheshbhai Shah Darshan +2 more
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The Approximability of Constraint Satisfaction Problems [PDF]
SIAM Journal on Computing, 2001 Summary: We study optimization problems that may be expressed as ``Boolean constraint satisfaction problems.'' An instance of a Boolean constraint satisfaction problem is given by m constraints applied to n Boolean variables. Different computational problems arise from constraint satisfaction problems depending on the nature of the ``underlying ...
Khanna, Sanjeev +3 more
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Overall instability and optimization of bar structures with random defects in case of constraints on faultless operation probability [PDF]
Инженерно-строительный журнал, 2013 The aim of this paper is to pose and solve weight optimization problem of bar structures with constraints on faultless operation probability of a structure and constraints on design variables.
O.A. Sergeyev +2 more
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Journal of Inequalities and Applications, 2022 Many practical problems, such as computer science, communications network, product design, system control, statistics and finance, etc.,can be formulated as a probabilistic constrained optimization problem (PCOP) which is challenging to solve since it is
Yong H. Ren +3 more
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Least Squares Approximation With Constraints [PDF]
Mathematics of Computation, 1986 In this paper we study two families of functions F e {F_e}
Milovanović, Gradimir V. +1 more
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Non-Gaussian Pseudolinear Kalman Filtering-Based Target Motion Analysis with State Constraints
Applied Sciences, 2022 For the bearing-only target motion analysis (TMA), the pseudolinear Kalman filter (PLKF) solves the complex nonlinear estimation of the motion model parameters but suffers serious bias problems.
Ming Li +3 more
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