REFERENCES  Haug E. J.: Elements of Computer-Aided Kinematics and Dynamics of Mechanical Systems: Basic Methods. Springer-Verlag, 1984.  Abhinandan Jain: Multibody graph transformations and analysis Part II: Closed-chain constraint embedding. Nonlinear Dynamics, 67(3):2153-2170, August 2012.  Abhinandan Jain: Robot and Multibody Dynamics: Analysis and Algorithms. Springer, 2011.  Reinhold von Schwerin: Multibody system simulation: numerical methods, algorithms, and software. Springer, 1999.  Paramsothy Jayakumar
Abhinandan Jain, Calvin Kuo, Paramsothy Jayakumar and Jonathan Cameron
Set of Rules.” Applied Mathematical Sciences 6: 6253-6271. Chen, D., R.G. Batson, and Y. Dang. 2010. Applied Integer Programming; Modelling and Solution. Hoboken: John Wiley & Sons. Doi: http://dx.doi.org/10.1002/9781118166000. Chinneck, J.W. 1997. “Finding a Useful Subset of Constraints for Analysis in an Infeasible Linear Program.” INFORMS Journal on Computing 9: 164-174. Doi: http://dx.doi.org/ 10.1287/ijoc.9.2.164. Available at: http://www.sce.carleton.ca/faculty/chinneck/docs/ UsefulSubset.pdf (accessed January 2017
6. References 1. Yokoo, Makoto (2012), “Distributed constraint satisfaction: foundations of cooperation in multi-agent systems”, Springer, ISBN 978-3-642-59546-2 2. Yeoh, W., Felner, A., Koenig, S. An asynchronous Branch-and-Bound DCOP algorithm (2010) Journal of Artificial Intelligence Research, 38, pp. 85-133 3. Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo (2005), „Adopt: asynchronous distributed constraint optimization with quality guarantees”, Artificial Intelligence, Volume 161, Issues 1–2, January 2005, Pages 149-180, ISSN
Marlene Arangú and Miguel Salido
References Arangú, M., Salido, M. A. and Barber, F. (2010). AC2001-OP: An arc-consistency algorithm for constraint satisfaction problems, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Córdoba, Spain , pp. 219-228. Barták, R. (1999). Constraint programming: In pursuit of the Holy Grail, Proceedings of the Week of Doctoral Students (WDS99), Prague, Czech Republic , Part IV, pp. 555-561. Barták, R. (2001
Ferenc Tolvaly-Rosca and István Papp
References  Yamada H., Hirose S. Study of a 2-DOF joint for the small active cord mechanism, Robotics and Automation, 2009. ICRA '09. IEEE International Conference, ISSN 1050-4729, DOI: 10.1109/ROBOT.2009.5152837, pp. 3827 - 3832.  Cai S., Huang W., Peng L. The kinematic modeling of a 2-DOF rotational parallel fixture, Advanced Materials Research Vols.605-607 (2013) pp.1465-1468.  Papp, I. The kinematical analysis of type H4 parallel robot applying the constraint equations (reverse kinematics, the
Ewa Gumul and Andrzej Łyda
References Agrifoglio, M. 2004. "Sight translation and interpreting: A comparative analysis of constraints and failures". Interpreting 6(1), 43-67. Al-Khanji, R, S. El-Shiyab and R. Hussein. 2000. "On the Use of Compensatory Strategies in Simultaneous Interpreting". Meta 45(3), 548-557. Anderson, L. 1994. "Simultaneous Interpretation: Contextual and Translation Aspects". In: Lambert S. and B. Moser-Mercer (eds.), 101-120. Arabski, J., E. Borkowska and A
Based on a geographical-administrative definition of the region, the theoretical assumptions of contemporary French structuralist geopolitics, cross-sectional data for 1990, 1995, 2000, 2005 and 2010 from the Updated Arctic Regional Attributes Dataset, and the technical capabilities of MS Office Excel 2010, this research (a) reveals and contrasts the Arctic states’ capability constraints deriving from their longitudinal material and virtual power potential (physical potential, socio-economic potential, military potential, and symbolic potential); and (b) analyses the role of this constraint in the process of preference formation in case of one specific Arctic actor, Russia, in the Arctic territorial dispute. This study confirms that Russia’s capability constraint is the lowest in the region and that the latter does not form a stable trend throughout the period studied. It also suggests the preference formation framework for Russia in the Arctic dispute based on the evolution of its polar capability constraint.
Samo Drobne and Mitja Lakner
Background: Intramax is a hierarchical aggregation procedure for dealing with the multi-level specification problem and with the association issue of data set reduction, but it was used as a functional regionalization procedure many times in the past.
Objectives: In this paper, we analyse the simultaneous use of three different constraints in the original Intramax procedure, i.e. the contiguity constraint, the higher-inner-flows constraint, and the lower-variation-of-inner-flows constraint.
Methods/Approach: The inclusion of constraints in the Intramax procedure was analysed by a programme code developed in Mathematica 10.3 by the processing time, by intra-regional shares of total flows, by self-containment indexes, by numbers of singleton and isolated regions, by the number of aggregation steps where a combination of constraints was applied, by the number of searching steps until the combination of constraints was satisfied, and by surveying the results geographically.
Results: The use of the contiguity constraint is important only at the beginning of the aggregation procedure; the higher-inner-flows constraint gives singleton regions, and the lower-variation constraint forces the biggest employment centre as an isolated region up to a relatively high level of aggregation.
Conclusions: The original Intramax procedure (without the inclusion of any constraint) gives the most balanced and operative hierarchical sets of functional regions without any singletons or isolated regions.
Mirela Kaczmarek, Wojciech Domski and Alicja Mazur
aczmarek and W. D omski : Position-force control of nonholonomic mobile manipulator with simple holonomic constraint. In 10th Int. Workshop on Robot Motion and Control , Poznań, Poland, (2015), 257-262.  N. H. M c C lamroch and D. W ang : Feedback stabilization and tracking of constrained robots. IEEE Trans. on Automatic Control , 33 (5), (1988), 419-426.  J. K. M ills and A. A. G oldenberg : Force and position control of manipulators during constrained motion tasks. IEEE Trans. on Robotics and Automation , 5 (1), (1989), 30-46.  N. S
References  R. G raham , E. L awler , J. L enstra and A. R innooy K an : Optimization and approximation in deterministic sequencing and scheduling: a survey. Annals of Discrete Mathematics , 5 (1979), 287-326.  Y. G oncharov and S.S evastyanov : The flow shop problem with no-idle constraints: A review and approximation. European J. of Operational Research , 196 (2), (2009), 450-456.  M. N awaz , E.E. E nscore J r and I. H am : A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem. The Int. J. of