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Value Ordering for Finding All Solutions: Interactions with Adaptive Variable Ordering [chapter]

Deepak Mehta, Barry O'Sullivan, Luis Quesada
2011 Lecture Notes in Computer Science  
We show that when the variable ordering heuristic is adaptive, the order in which the values are assigned to variables can make a significant difference in all measures of search effort.  ...  We also introduce a lazy version of k-way branching and study the effect of value orderings on finding all solutions when it is used.  ...  Acknowledgments We thank Marc van Dongen for providing the example of Figure 1 (a) and Diarmuid Grimes for helpful discussions.  ... 
doi:10.1007/978-3-642-23786-7_46 fatcat:6xlmfd2tknbo7bkhont2eklpgu

Rational Solutions of Underdetermined Polynomial Equations [article]

Thomas Wolf, Chimaobi Amadi
2016 arXiv   pre-print
The algorithmic aspect of our work provides a method to compute rational solutions of single polynomial equations that are typically large with 10^2 ... 10^5 terms and that are heavily underdetermined.  ...  This functionality was obtained by adding modules for a new type of splitting of equations to the existing package CRACK that is normally used to solve polynomial algebraic and differential systems.  ...  For example, ab represents a 2-digit integer with two different digits. The challenge is to find the value of each letter such that all 3 horizontal and 3 vertical equations are satisfied.  ... 
arXiv:1608.00697v1 fatcat:2xze4z4ogffb7ljxedjelarigi

Business Value of Solution Architecture [chapter]

Raymond Slot, Guido Dedene, Rik Maes
2009 Lecture Notes in Business Information Processing  
This paper presents the results of a study, which measures the value of IT solution architecture for software development projects.  ...  The study identifies ten architecture-related projectvariables and correlates these with eight project success variables.  ...  Nevertheless, one of the major findings of the analysis of § 4.2 is that: "a 'better' value of a project variable correlates with a 'better' outcome of the success variable, for all identified significant  ... 
doi:10.1007/978-3-642-01859-6_6 fatcat:mqw3fhyhmvegxnsm46iyvyoyuu

Crystal Nucleation of Tolbutamide in Solution: Relationship to Solvent, Solute Conformation, and Solution Structure

Jacek Zeglinski, Manuel Kuhs, Dikshitkumar Khamar, Avril C. Hegarty, Renuka K. Devi, Åke C. Rasmuson
2018 Chemistry - A European Journal  
This explains why nucleation in toluene is the most difficult and why the relatively higher propensity for aggregation of tolbutamide molecules in toluene solution, as observed with FTIR spectroscopy,  ...  interaction enthalpies using molecular modelling and calorimetric data, probing interactions and clustering with spectroscopy, and modelling solvent-dependence of molecular conformation in solution.  ...  Noteworthy, only the DFT binding energies for the non-polar site 3 follow the order of the solute-solvent interaction enthalpies calculated with MD (cf. Table 3 , solute-solvent values).  ... 
doi:10.1002/chem.201705954 pmid:29431236 fatcat:mhzvhvvvpzbxxh64abozucbcwq

Analytical Solution of Multicompartment Solute Kinetics for Hemodialysis

Przemysław Korohoda, Daniel Schneditz
2013 Computational and Mathematical Methods in Medicine  
Objective.To provide an exact solution for variable-volume multicompartment kinetic models with linear volume change, and to apply this solution to a 4-compartment diffusion-adjusted regional blood flow  ...  approach reveals characteristic details on model symmetry and complexity for different solutes.  ...  For urea all values were below 1.0 − 6, and they remained small during ID for both solutes.  ... 
doi:10.1155/2013/654726 pmid:24307914 pmcid:PMC3836297 fatcat:j2e7iroqpnfafa46ilzmiwm2wy

A new model for solution of complex distributed constrained problems [article]

Sami Al-Maqtari
2010 arXiv   pre-print
The proposed model is called Controller-Agents for Constraints Solving (CACS).  ...  is intended to be used which is an emerged field from the integration between two paradigms of different nature: Multi-Agent Systems (MAS) and the Constraint Satisfaction Problem paradigm (CSP) where all  ...  If an agent finds a value for its variable that corresponds to a solution then it will notify to this value. The solution will be the combination of all values from all agents.  ... 
arXiv:1003.0590v1 fatcat:i5l3itys35b2hdq2opnc3ztbiq

Survey Propagation: A Resource Allocation Solution for Large Wireless Networks [article]

Andrea Ortiz, Daniel Barragan-Yani
2022 arXiv   pre-print
We show that resource allocation problems have the same structure as the problem of finding specific configurations in spin glasses.  ...  Based on this parallel, we investigate the use of the Survey Propagation method from statistical physics in the solution of resource allocation problems in wireless networks.  ...  The solution of the CSP is an assignment for the variables that guarantees that all the constraints in the problem are satisfied.  ... 
arXiv:2110.10549v2 fatcat:b34m7o45bvhwvftro762mhteie

Obstacles and Solutions [chapter]

Wendy K. Silverman, William M. Kurtines
1996 Anxiety and Phobic Disorders  
Please consult the full Durham E-Theses policy for further details.  ...  The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes  ...  As identified, considering all these dynamics, there is a need for a great deal of research to explore this area and find solutions to the observed problems, which could help organisations to compete in  ... 
doi:10.1007/978-1-4757-9212-6_6 fatcat:eqn7ws62rzbtnph5t6nt4t4sw4

Robust Solutions in Unstable Optimization Problems [chapter]

Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable, Rina Dechter
2009 Lecture Notes in Computer Science  
We consider constraint optimization problems where costs (or preferences) are all given, but some are tagged as possibly unstable, and provided with a range of alternative values.  ...  We also allow for some uncontrollable variables, whose value cannot be decided by the agent in charge of taking the decisions, but will be decided by Nature or by some other agent.  ...  A complete assignment of values to all the variables is an optimal solution if its preference is the best one w.r.t. the ordering induced by the additive operator.  ... 
doi:10.1007/978-3-642-03251-6_8 fatcat:g7hcb4sqxrctzhc37cn2ddb6s4

Differential activation solution to the

Lee A. Gilroy, Howard S. Hock, Annemie Ploeger
2001 Perception & Psychophysics  
Implications of the differential activation solution are discussed for the stability of perceived motions once they are established, and the adaptation of perceived and unperceived motions.  ...  The minimal mapping solution to the correspondence problem, the determination of the motion path perceived when more than one path is possible, then depends on local competition (interaction) modifying  ...  These luminance values were exchanged during successive frames, resulting in a BRLC value for each square (.9) that was well above the threshold value required for the perception of motion for all three  ... 
doi:10.3758/bf03194442 pmid:11521851 fatcat:5soq2lduova2lmk5nimsm7da7i

Europeanization: Solution or Problem? [chapter]

Claudio M. Radaelli
2006 Palgrave Advances in European Union Studies  
One theme throughout the article is that, in order to develop a progressive agenda, Europeanisation should be seen as a problem, not as a solution. It is neither a new theory, nor an ad-hoc approach.  ...  To contribute to major issues at the core of political science is a valuable result for a relatively new field of inquiry.  ...  (3) One theme throughout the article is that, in order to develop a progressive agenda, Europeanisation should be seen as a problem, not as a solution.  ... 
doi:10.1057/9780230522671_4 fatcat:lowlbbyftrbnvmwslifbbs64dq

Adaptive Numerical Solution of Kadanoff-Baym Equations [article]

Francisco Meirinhos, Michael Kajan, Johann Kroha, Tim Bode
2022 arXiv   pre-print
A time-stepping scheme with adaptivity in both the step size and the integration order is presented in the context of non-equilibrium dynamics described via Kadanoff-Baym equations.  ...  in interacting systems.  ...  The initial total charge is hence Q 0 = 0.8, while for spin we have S 0 = 0.0. Different values of rtol are presented, with atol/rtol=1e-2 in all cases.  ... 
arXiv:2110.04793v2 fatcat:4cjbdluqz5b4npy3dfuiiuxajm

Selection by Partitioning the Solution Paths [article]

Yang Liu, Peng Wang
2018 arXiv   pre-print
The key idea is to classify variables as relevant or irrelevant at each tuning parameter and then to select all of the variables which have been classified as relevant at least once.  ...  This article introduces a novel approach for feature selection based on the entire solution paths rather than the choice of a single tuning parameter, which significantly improves the accuracy of the selection  ...  For all simulation examples, we conduct the SPSP procedure on the solution paths for lasso, adaptive lasso, SCAD, and MCP.  ... 
arXiv:1606.07358v2 fatcat:xt63exukznccrhwuw4u7z7fnrq

Adaptive numerical solution of Kadanoff-Baym equations

Francisco Meirinhos, Michael Kajan, Johann Kroha, Tim Bode
2022 SciPost Physics Core  
A time-stepping scheme with adaptivity in both the step size and the integration order is presented in the context of non-equilibrium dynamics described via Kadanoff-Baym equations.  ...  in interacting systems.  ...  The initial total charge is hence Q 0 = 0.8, while for spin we have S 0 = 0.0. Different values of rtol are presented, with atol/rtol=1e-2 in all cases.  ... 
doi:10.21468/scipostphyscore.5.2.030 fatcat:ss3z75uyyfbg7kerioh3qx2imu

Faster solutions of the inverse pairwise Ising problem [article]

Tamara Broderick, Miroslav Dudik, Gasper Tkacik, Robert E. Schapire, William Bialek
2007 arXiv   pre-print
Finding these models requires us to solve an inverse problem: given experimentally measured expectation values, what are the parameters of the underlying Hamiltonian?  ...  We use a combination of recent coordinate descent algorithms with an adaptation of the histogram Monte Carlo method, and implement these techniques to take advantage of the sparseness found in data on  ...  Acknowledgments We thank MJ Berry II, E Schneidman and R Segev for helpful discussions and for their contributions to the work which led to the formulation of the problems addressed here.  ... 
arXiv:0712.2437v2 fatcat:6sggqknchzgczpcstpbhtflaey
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