Academic literature on the topic 'Constraints method'

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Journal articles on the topic "Constraints method"

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Huang, Long Yang, and Wei Jun Pan. "Synthesizing Pattern with Broad Nulls through Orthogonal Method." Advanced Materials Research 121-122 (June 2010): 992–95. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.992.

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Based on the Gram-Schmidt orthogonalization method utilized for pattern synthesis of linear array without constraints, null derivative constraints are proposed to implement pattern synthesis with broad nulls. The advantage of the simplified computation resulted from steering vector orthogonalization in unconstrained orthogonal approach is maintained, and the uniform or non-uniform linear array pattern synthesis can be realized by this method. The experimental results show that the null constrained orthogonal approach can fulfill linear array pattern synthesis with constrains such as null const
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Yu, Chun-Mei, Dang-Jun Zhao, and Ye Yang. "Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method." International Journal of Aerospace Engineering 2019 (May 2, 2019): 1–9. http://dx.doi.org/10.1155/2019/1414279.

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A novel sequential convex (SCvx) optimization scheme via the Chebyshev pseudospectral method is proposed for efficiently solving the hypersonic reentry trajectory optimization problem which is highly constrained by heat flux, dynamic pressure, normal load, and multiple no-fly zones. The Chebyshev-Gauss Legend (CGL) node points are used to transcribe the original dynamic constraint into algebraic equality constraint; therefore, a nonlinear programming (NLP) problem is concave and time-consuming to be solved. The iterative linearization and convexification techniques are proposed to convert the
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Yu, Guangying, Fatemeh Hadi, Ziyu Wang, and Hameed Metghalchi. "Review of Applications of Rate-Controlled Constrained-Equilibrium in Combustion Modeling." Journal of Non-Equilibrium Thermodynamics 45, no. 1 (2020): 59–79. http://dx.doi.org/10.1515/jnet-2019-0060.

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AbstractDeveloping an effective model for non-equilibrium states is of great importance for a variety of problems related to chemical synthesis and combustion. Rate-Controlled Constrained-Equilibrium (RCCE), a model order reduction method that originated from the second law of thermodynamics, assumes that the non-equilibrium states of a system can be described by a sequence of constrained-equilibrium states kinetically controlled by a relatively small number of constraints within acceptable accuracy. The full chemical composition at each constrained-equilibrium state is obtained by maximizing
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Zha, Fusheng, Yizhou Liu, Wei Guo, et al. "Learning the Metric of Task Constraint Manifolds for Constrained Motion Planning." Electronics 7, no. 12 (2018): 395. http://dx.doi.org/10.3390/electronics7120395.

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Finding feasible motion for robots with high-dimensional configuration space is a fundamental problem in robotics. Sampling-based motion planning algorithms have been shown to be effective for these high-dimensional systems. However, robots are often subject to task constraints (e.g., keeping a glass of water upright, opening doors and coordinating operation with dual manipulators), which introduce significant challenges to sampling-based motion planners. In this work, we introduce a method to establish approximate model for constraint manifolds, and to compute an approximate metric for constr
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Djerassi, S., and H. Bamberger. "Constraint Forces and the Method of Auxiliary Generalized Speeds." Journal of Applied Mechanics 70, no. 4 (2003): 568–74. http://dx.doi.org/10.1115/1.1572902.

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This paper deals with noncontributing forces, usually called constraint forces or reaction forces, arising in simple, nonholonomic multibody systems. These forces are related to two kinds of constraints, namely, kinematical constraints—derived from kinematical requirements, and auxiliary constraints, introduced for the purpose of constraint forces determination. Here, the method of “auxiliary generalized speeds” is used to bring into evidence constraint forces related to the two kinds of constraints. It is shown that auxiliary generalized speeds can always be chosen in a way that gives rise to
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Zhuang, Yongjie, and Yangfan Liu. "A constrained adaptive active noise control filter design method via online convex optimization." Journal of the Acoustical Society of America 152, no. 4 (2022): A98. http://dx.doi.org/10.1121/10.0015669.

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In practical active noise control (ANC) applications, various types of constraints may need to be satisfied, e.g., robust stability, disturbance enhancement, and filter output power constraint. Some adaptive filters such as leaky LMS have been developed to apply required constraints indirectly. However, when multiple constraints are required simultaneously, satisfactory noise performance is difficult to achieve by tuning only one leaky factor. Another filter design approach that may achieve better noise control performance is to solve a constrained optimization problem. But the computational c
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Yoon, S., R. M. Howe, and D. T. Greenwood. "Geometric Elimination of Constraint Violations in Numerical Simulation of Lagrangian Equations." Journal of Mechanical Design 116, no. 4 (1994): 1058–64. http://dx.doi.org/10.1115/1.2919487.

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Conventional holonomic or nonholonomic constraints are defined as geometric constraints. The total enregy of a dynamic system can be treated as a constrained quantity for the purpose of accurate numerical simulation. In the simulation of Lagrangian equations of motion with constraint equations, the Geometric Elimination Method turns out to be more effective in controlling constraint violations than any conventional methods, including Baumgarte’s Constraint Violation Stabilization Method (CVSM). At each step, this method first goes through the numerical integration process without correction to
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Kusakci, Ali, and Mehmet Can. "An adaptive ES with a ranking based constraint handling strategy." Yugoslav Journal of Operations Research 24, no. 3 (2014): 307–19. http://dx.doi.org/10.2298/yjor140121035k.

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To solve a constrained optimization problem, equality constraints can be used to eliminate a problem variable. If it is not feasible, the relations imposed implicitly by the constraints can still be exploited. Most conventional constraint handling methods in Evolutionary Algorithms (EAs) do not consider the correlations between problem variables imposed by the constraints. This paper relies on the idea that a proper search operator, which captures mentioned implicit correlations, can improve performance of evolutionary constrained optimization algorithms. To realize this, an Evolution Strategy
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Ma, Xinwu, and Lu Sun. "An automatic approach to constrained quadrilateral mesh generation." Engineering Computations 37, no. 3 (2019): 929–51. http://dx.doi.org/10.1108/ec-03-2019-0114.

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Purpose Arbitrary constraints might be included into the problem domain in many engineering applications, which represent specific features such as multi-domain interfaces, cracks with small yield stresses, stiffeners attached on the plate for reinforcement and so on. To imprint these constraints into the final mesh, additional techniques need to be developed to treat these constraints properly. Design/methodology/approach This paper proposes an automatic approach to generate quadrilateral meshes for the geometric models with complex feature constraints. Firstly, the region is decomposed into
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Zuenko, Alexander A., Olga V. Fridman, and Olga N. Zuenko. "An approach to finding a global optimum in constrained clustering tasks involving the assessments of several experts." Transaction Kola Science Centre 12, no. 5-2021 (2021): 75–90. http://dx.doi.org/10.37614/2307-5252.2021.5.12.007.

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An approach to solving the constrained clustering problem has been developed, based on the aggregation of data obtained as a result of evaluating the characteristics of clustered objects by several independent experts, and the analysis of alternative variants of clustering by constraint programming methods using original heuristics. Objects clusterized are represented as multisets, which makes it possible to use appropriate methods of aggregation of expert opinions. It is proposed to solve the constrained clustering problem as a constraint satisfaction problem. The main attention is paid to th
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Dissertations / Theses on the topic "Constraints method"

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Michailidis, Georgios. "Manufacturing Constraints and Multi-Phase Shape and Topology Optimization via a Level-Set Method." Phd thesis, Ecole Polytechnique X, 2014. http://pastel.archives-ouvertes.fr/pastel-00937306.

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The main contribution of this thesis is the implementation of manufacturing constraints in shape and topology optimization. Fabrication limitations related to the casting process are formulated as mathematical constraints and introduced in the optimization algorithm. In addition, based on the same theoretical and modelization tools, we propose a novel formulation for multi-phase optimization problems, which can be extended to the optimization of structures with functionally-graded properties. A key ingredient for the mathematical formulation of most problems throughout our work is the notion o
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Mitchell, Harry. "Creative constraints: Developing a method for restrictive jazz composition." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2459.

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This research aimed to develop a method of jazz composition that utilises data-based restrictions to facilitate the composition process. An analysis rating tool (ART) was developed based on methodologies created by Aaron Stroessner and Jan LaRue to extract elements of melody, harmony, rhythm and form from compositions on Seamus Blake’s album Bellwether and Will Vinson’s album Stockholm Syndrome. The ART then facilitated a practice-led composition process in which the data from the analysis were used as the primary source of creativity to generate and record a set of 10 compositions. Through an
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Rao, Hejamadi Dhananjay. "Thermal stress in concrete slabs under different constraints." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4752.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains viii, 127 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 123-126).
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Liang, Tianyi. "Automated reasoning over string constraints." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1478.

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An increasing number of applications in verification and security rely on or could benefit from automatic solvers that can check the satisfiability of constraints over a rich set of data types that includes character strings. Unfortunately, most string solvers today are standalone tools that can reason only about some fragment of the theory of strings and regular expressions, sometimes with strong restrictions on the expressiveness of their input language (such as, length bounds on all string variables). These specialized solvers reduce string problems to satisfiability problems over specific
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Hömke, Lars. "A multigrid method for elastic image registration with additional structural constraints." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=983423725.

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Nam, Taewoo. "A Generalized Sizing Method for Revolutionary Concepts under Probabilistic Design Constraints." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14575.

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Internal combustion (IC) engines that consume hydrocarbon fuels have dominated the propulsion systems of air-vehicles for the first century of aviation. In recent years, however, growing concern over rapid climate changes and national energy security has galvanized the aerospace community into delving into new alternatives that could challenge the dominance of the IC engine. Nevertheless, traditional aircraft sizing methods have significant shortcomings for the design of such unconventionally powered aircraft. First, the methods are specialized for aircraft powered by IC engines, and thus are
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Giuliani, Luca. "Extending the Moving Targets Method for Injecting Constraints in Machine Learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23885/.

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Informed Machine Learning is an umbrella term that comprises a set of methodologies in which domain knowledge is injected into a data-driven system in order to improve its level of accuracy, satisfy some external constraint, and in general serve the purposes of explainability and reliability. The said topid has been widely explored in the literature by means of many different techniques. Moving Targets is one such a technique particularly focused on constraint satisfaction: it is based on decomposition and bi-level optimization and proceeds by iteratively refining the target labels through a m
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Flötteröd, Gunnar. "A search acceleration method for optimization problems with transport simulation constraints." Elsevier, 2017. https://publish.fid-move.qucosa.de/id/qucosa%3A72819.

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This work contributes to the rapid approximation of solutions to optimization problems that are constrained by iteratively solved transport simulations. Given an objective function, a set of candidate decision variables and a black-box transport simulation that is solved by iteratively attaining a (deterministic or stochastic) equilibrium, the proposed method approximates the best decision variable out of the candidate set without having to run the transport simulation to convergence for every single candidate decision variable. This method can be inserted into a broad class of optimization al
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KAIMAL, VINOD GOPALKRISHNA. "A NEURAL METHOD OF COMPUTING OPTICAL FLOW BASED ON GEOMETRIC CONSTRAINTS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037632137.

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Zhang, Dali. "Stochastic equilibrium problems with equilibrium constraints, Monte Carlo sampling method and applications." Thesis, University of Southampton, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509541.

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Books on the topic "Constraints method"

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N, Patnaik Surya, and Lewis Research Center, eds. Modified fully utilized design (MFUD) method for stress and displacement constraints. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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Center, Langley Research, ed. Two point exponential approximation method for structural optimization of problems with frequency constraints. NASA Langley Research Center, 1991.

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Center, Langley Research, ed. Two point exponential approximation method for structural optimization of problems with frequency constraints. NASA Langley Research Center, 1991.

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Coleman, Thomas F. A quasi-Newton L₂-penalty method for minimization subject to nonlinear equality constraints. Cornell Theory Center, Cornell University, 1995.

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Burns, Allan W. T. The advantages and constraints of teacher-centred and learner-centred approaches: A pilot study from business & management education. University of Paisley, Faculty of Business, 1999.

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Gao, Xiang. Elimination of spurious modes in the vectorial finite element analysis of isotropic and anisotropic waveguides by the method of constraints. National Library of Canada = Bibliothèque nationale du Canada, 1999.

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J, Potter Christopher, ed. Structure of the Reelfoot-Rough Creek rift system, fluorspar area fault complex and Hicks dome, southern Illinois and western Kentucky: New constraints from regional seismic reflection data. U.S. G.P.O., 1995.

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Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57918-9.

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Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Springer Berlin Heidelberg, 1994.

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Centre for Co-operation with the Economies in Transition. and Organisation for Economic Co-operation and Development., eds. Privatisation of utilities and infrastructure: Methods and constraints. Organisation for Economic Co-operation and Development, 1997.

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Book chapters on the topic "Constraints method"

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Polyanin, Andrei D. "Differential Constraints Method." In Exact Methods for Nonlinear PDEs. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781032716367-9.

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Kumar, T. K. Satish, and Richard Dearden. "The Oracular Constraints Method." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45622-8_22.

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Polyanin, Andrei D., and Alexei I. Zhurov. "Method of Differential Constraints." In Separation of Variables and Exact Solutions to Nonlinear PDEs. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003042297-4.

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Wintraecken, J. J. V. R. "Non-Graphical Constraints." In The NIAM Information Analysis Method. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0451-4_16.

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Cox, James F., and Michael S. Spencer. "The Drum-Buffer-Rope Scheduling Method." In The Constraints Management Handbook. CRC Press, 2024. http://dx.doi.org/10.4324/9781003579137-5.

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Ito, Kazufumi. "Nonsmooth Optimization Method and Sparsity." In Control and Optimization with PDE Constraints. Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0631-2_4.

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Cui, Yi, Xianchao Zhang, Linlin Zong, and Jie Mu. "Maintaining Consistency with Constraints: A Constrained Deep Clustering Method." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75765-6_18.

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Gotzes, Uwe. "Decomposition Method." In Decision Making with Dominance Constraints in Two-Stage Stochastic Integer Programming. Vieweg+Teubner, 2009. http://dx.doi.org/10.1007/978-3-8348-9991-0_4.

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Razumikhin, B. S. "The Method of Aggregation of Constraints." In Classical Principles and Optimization Problems. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3995-0_12.

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Konnov, Igor. "Penalty Method for Games of Constraints." In Static & Dynamic Game Theory: Foundations & Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51941-4_5.

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Conference papers on the topic "Constraints method"

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Han, Jiang, Hequn Xian, Dalin Yang, and Han Jiang. "Location Privacy Protection Method with Route Constraints." In 2024 33rd International Conference on Computer Communications and Networks (ICCCN). IEEE, 2024. http://dx.doi.org/10.1109/icccn61486.2024.10637583.

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Li, Xinyu, Yafei Yang, Yuhang Zhang, Guoliang Chen, and Tao Wang. "Representative Constraint-Based Fast Identification Method for Redundant Security Constraints in Power System Operation." In 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2025. https://doi.org/10.1109/ceepe64987.2025.11033749.

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Xi, Yanan, and Jiachen Wang. "Research on Transfer Learning Method Based on Structural Constraints." In 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2025. https://doi.org/10.1109/icetci64844.2025.11084111.

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Terze, Zdravko, Joris Naudet, and Dirk Lefeber. "Constraint Gradient Projective Method for Stabilized Dynamic Simulation of Constrained Multibody Systems." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48314.

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Constraint gradient projective method for stabilization of constraint violation during integration of constrained multibody systems is in the focus of the paper. Different mathematical models for constrained MBS dynamic simulation on manifolds are surveyed and violation of kinematical constraints is discussed. As an extension of the previous work focused on the integration procedures of the holonomic systems, the constraint gradient projective method for generally constrained mechanical systems is discussed. By adopting differentialgeometric point of view, the geometric and stabilization issue
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Zhao, Xin, Jianzhe Zhao, and Ma Zhuang. "Descending Order Reversely Constrained Optimal Design Method for Tall Building Structures under Wind Loading and Earthquake action." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0773.

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&lt;p&gt;Optimal design of tall buildings is attracting increasing interests due to huge material consumption and structural costs. Design constraints are related with the design criteria of structural optimal design, and can be divided into several grades, say global constraints, assembly constraints, component constraints, sectional constraints and detailing constraints. Forwardly constrained optimal design (FCOD) method is widely applied in engineering practices. FCOD method begins with conserved initial structural member sizes after the selection of structural system and member layouts. FC
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Giesen, Joachim, and Soeren Laue. "Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/629.

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Many machine learning methods entail minimizing a loss-function that is the sum of the losses for each data point. The form of the loss function is exploited algorithmically, for instance in stochastic gradient descent (SGD) and in the alternating direction method of multipliers (ADMM). However, there are also machine learning methods where the entailed optimization problem features the data points not in the objective function but in the form of constraints, typically one constraint per data point. Here, we address the problem of solving convex optimization problems with many convex constrain
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Gao, Shiqing, Jiaxin Ding, Luoyi Fu, Xinbing Wang, and Chenghu Zhou. "Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/443.

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In Constrained Reinforcement Learning (CRL), agents explore the environment to learn the optimal policy while satisfying constraints. The penalty function method has recently been studied as an effective approach for handling constraints, which imposes constraints penalties on the objective to transform the constrained problem into an unconstrained one. However, it is challenging to choose appropriate penalties that balance policy performance and constraint satisfaction efficiently. In this paper, we propose a theoretically guaranteed penalty function method, Exterior Penalty Policy Optimizati
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Brake, M. R., and D. J. Segalman. "A New Approach to Modeling Discrete Nonlinear Constraints in Continuous Systems: The Method of Discontinuous Basis Functions." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47181.

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Solutions for analytical models of systems with nonlinear constraints have focused on exact methods for satisfying the constraint conditions. Exact methods often require that the constraint can be expressed in a piecewise-linear manner, and result in a series of mapping equations from one linear regime of the constraint to the next. Due to the complexity of these methods, exact methods are often limited to analyzing a small number of constraints for practical reasons. This paper proposes a new method for analyzing continuous systems with arbitrary nonlinear constraints by approximately satisfy
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Sridhar, Natarajan, Rajiv Agrawal, and Gary L. Kinzel. "A Methodology to Handle Inequality Constraints in an Interactve Design Process." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0048.

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Abstract The treatment of mechanical design as a constraint management problem has long been related to equality constraints. Work involving inequality constraints has been generally restricted to optimization and symbolic computation. This paper presents a methodology for handling inequality constraints in an interactive mechanical design process. The presented method is similar to the basis interchange algorithm used in the Generalized Reduced Gradient (GRG) method for constrained nonlinear optimization. The main difference is that our method relies on user guidance to select which specifica
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Toktas, Omer Lutfu, Quang Minh Nguyen, and Mustafa Onur. "Life-Cycle Reservoir Production Optimization Using Heuristic Schemes Implemented in Numerical Simulators for Handling Nonlinear State Constraints." In SPE Annual Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220907-ms.

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Abstract This study focuses on the investigation of deterministic life-cycle reservoir production optimization by maximizing a net present value (NPV) subject to well controls with nonlinear state constraints [such as field liquid production rate (FLPR), and field water production rate (FWPR)] by enforcing these constraints to be satisfied using the heuristic schemes applied internally in a high-fidelity simulator. Our objective is to develop a methodology based on a heuristic production optimization method that provides an optimal solution of well controls that satisfy the given nonlinear sta
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Reports on the topic "Constraints method"

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Kim, Kibaek, Youngdae Kim, Daniel Maldonado, Michel Schanen, Victor Zavala, and Nai-Yuan Chiang. A Scalable Mixed-Integer Decomposition Method for Security-Constrained Optimal Power Flow with Complementarity Constraints. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1835277.

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Lippolis, Nicolas. Diagnostics for Industrialisation: Growth, Sectoral Selection, and Constraints on Firms. Digital Pathways at Oxford, 2022. http://dx.doi.org/10.35489/bsg-dp-wp_2022/03.

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This paper reviews methods that have been suggested by the development literature on diagnostics. We subdivide the variety of diagnostics into three types: revealing the most binding constraints to economy-wide growth; selecting sectors in which to diversify; and identifying sources of sectoral underperformance. Each diagnostic method is judged on whether it: provides a structured way of performing diagnostics; directs analysts towards the right questions; and is efficient in its use of data and resources. After reviewing a variety of methods, we argue that, with respect to growth diagnostics,
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Stewart, W. A. A method for estimating tokamak poloidal field coil currents which incorporates engineering constraints. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6541751.

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Mendoza, Enrique, and Sergio Villalvazo. FiPIt: A Simple, Fast Global Method for Solving Models with Two Endogenous States & Occasionally Binding Constraints. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26310.

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Eggers Prieto, Carlos, Lucia Martin Rivero, Laucel Muñoz, and Álvaro Salamanca. Nowcasting Poverty in Central America, Panama, and the Dominican Republic: A Micro-simulation Approach. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0012890.

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Assessing the development of countries relies on poverty rates as a key indicator. However, official poverty rates are derived from household surveys that often have limited frequency, unexpected gaps due to field work constraints, and substantial delays in processing and publication. This paper presents a novel micro-simulation method for estimating poverty, which introduces changes in demographic and labor variables into the surveys, that can be derived from just a few observed or forecasted macroeconomic indicators. We apply this method for the case of Central America, Panama, and the Domin
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Arif, Sirojuddin, Risa Wardatun Nihayah, Niken Rarasati, Shintia Revina, and Syaikhu Usman. Of Power and Learning: DistrictHeads, Bureaucracy, and EducationPolicies in Indonesia’s Decentralised Political System. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/111.

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This paper examines the politics of education policies in a decentralised political system. Under what conditions does decentralisation promote learning-enhancing policies? Despite the numerous works that have been written on decentralisation and education, little is known about how politics influenced local education policies. To address this problem, this paper looks at the linkages between local politics, bureaucratic capacity, and the development of learning-enhancing policies in Indonesia’s decentralised political system. More specifically, it assesses how regional variation in the discre
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Beuermann, Diether, Bridget Hoffmann, Marco Stampini, David Vargas, and Diego A. Vera-Cossio. Shooting a Moving Target: Choosing Targeting Tools for Social Programs. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005502.

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A key challenge for policymakers is how to design methods to select beneficiaries of social programs when income is volatile and the target population is dynamic. We evaluate a traditional static proxy-means test (PMT) and three policy-relevant alternatives. We use a unique panel dataset of a random sample of households in Colombia's social registry that contains information before, during, and after the 2020 economic crisis. Updating the PMT data does not improve social welfare relative to the static PMT. Relaxing the eligibility threshold reduces the exclusion error, increases the inclusion
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Levisohn, Sharon, Maricarmen Garcia, David Yogev, and Stanley Kleven. Targeted Molecular Typing of Pathogenic Avian Mycoplasmas. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695853.bard.

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Intraspecies identification (DNA "fingerprinting") of pathogenic avian mycoplasmas is a powerful tool for epidemiological studies and monitoring strain identity. However the only widely method available for Mycoplasma gallisepticum (MG) and M. synoviae (MS)wasrandom amplified polymorphic DNA (RAPD). This project aimed to develop alternative and supplementary typing methods that will overcome the major constraints of RAPD, such as the need for isolation of the organism in pure culture and the lack of reproducibility intrinsic in the method. Our strategy focussed on recognition of molecular mark
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Mohammadian, Abolfazl, Mohammad Miralinaghi, Alireza Talebpour, Sajad Askari, and Sanaz Kazemzadehazad. State Department of Transportation Support for Operationalizing Transit Signal Priority. Illinois Center for Transportation, 2025. https://doi.org/10.36501/0197-9191/25-005.

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Transit signal priority (TSP) systems have become an integral part of regional intelligent transportation systems integration. They modify signal operations to facilitate faster transit through intersections, improve transit service reliability, reduce delays, and enhance overall transit operational efficiency. Agencies are planning and implementing next-generation TSP systems. However, multifaceted challenges complicate TSP implementation, particularly in urban regions with high traffic density and multiple stakeholders. Exploring these challenges can help develop more efficient deployment st
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Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

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The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips
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