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Proceedings of the 16th Annual Conference on Neural Information Processing Systems (NIPS 2004) MIT Press; 2004 p 288 297 53 Kleinberg J, Tardos E Algorithm Design Addison-Wesley; 2005 54 K nig D Graphok es Matrixok Matematikai es Fizikai Lapok 1931;38:116 119 o 55 Kontogiannis S, Spirakis P Atomic sel sh routing in networks: a survey Proceedings of the 1st International Workshop on Internet and Network Economics (WINE 2005) Lecture Notes in Computer Science Volume 3828 Springer; 2005 p 989 1002 56 Kontogiannis SC, Panagopoulou PN, Spirakis PG Polynomial algorithms for approximating Nash equilibria of bimatrix games Proceedings of the 2nd International Workshop on Internet and Network Economics (WINE 2006); Lecture Notes in Computer Science Volume 4286 Springer; 2006 p 286 296 57 Korilis YA, Lazar A, Orda A The designer s perspective to noncooperative networks.

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i want to convert my pdf to excel programmatically using .net c# ... You can try iTextSharp to read the content of the PDF document and then use ...
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9 gives information about the diseases that may affect the trigeminal nerve There are really only two common ones: trigeminal neuralgia and herpes zoster Trigeminal neuralgia is described in 13 (see p 219), and is the most common disease affecting the trigeminal nerve It can be caused by irritation of the nerve as it enters the brainstem (for example by an adjacent blood vessel) or within the brainstem itself (rarely; for example by multiple sclerosis) Presumably abnormal paroxysmal discharges within the nerve give rise to the lancinating pain..

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Proceedings of the 14th Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE INFOCOM 1995) Volume 2; 1995 p 562 570 58 Korilis YA, Lazar A, Orda A Achieving network optima using Stackelberg routing strategies IEEE/ACM T Netw 1997;5(1):161 173 59 Koutsoupias E, Mavronicolas M, Spirakis PG Approximate equilibria and ball fusion Theor Comput Syst 2003;36(6):683 693 60 Koutsoupias E, Papadimitriou CH Worst-case equilibria Proceedings of the 16th International Symposium on Theoretical Aspects of Computer Science (STACS 1999) Lecture Notes in Computer Science Volume 1563 Springer; 1999 p 404 413 61 Lemke CE, Howson JT, Jr Equilibrium points of bimatrix games J Soc Ind Appl Math 1964;12:413 423 62 Lipton RJ, Markakis E, Mehta A Playing large games using simple strategies Proceedings 4th ACM Conference on Electronic Commerce (EC-2003) ACM Press; 2003 p 36 41 63 L cking T, Mavronicolas M, Monien B, Rode M.

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A new model for sel sh routing Prou ceedings of the 21st International Symposium on Theoretical Aspects of Computer Science (STACS 2004) Lecture Notes in Computer Science Volume 2996 Springer; 2004 p 547 558 64 Mavronicolas M, Michael L, Papadopoulou VG, Philippou A, Spirakis PG The price of defense Proceedings of the 31st International Symposium on Mathematical Foundations.

8.1.4 Rollback As discussed at the beginning of this section, there are two main numerical techniques commonly used in the pricing of financia instruments: namely lattice methods and Monte-Carlo methods. In this section we concentrate on the component required for pricing financia instruments using a lattice method. In any lattice method we constantly need to perform expectations of the form EP [Nt 1 Vt |Fs ] where Vt is the price of the financia instrument at t, Nt is the numeraire in the measure P and Fs is the filtratio at s < t. In laymen s terms the expectation is just saying fin the expected value of the discounted value of the financia instrument at time t given the information about the market at an earlier term s. It is common among practitioners to call this operation either a rollback or drag . We also need to calculate expectations of the form EP [max Nt 1 Vt , 0 |Fs ] and this type of operation is commonly called a rollback max or drag max . So the purpose of the rollback component is to enscapsulate the calculation of these expectations. The rollback component for the Hull White model is implemented in the ppf.model.hull white.lattice.rollback module as shown below.

Therefore the technique does not involve large integers iff S(k, u)/S(k, u) is not a large integer for any k and u in the appropriate ranges (note that S(k, 1) = 1 ). The method gives theoretically correct result. However, in practice the random number g and intermediate values of p are all truncated. This may result in computational imprecision for larger values of m or n. The instance of a combinatorial object obtained by a computer implementation of above procedure may differ from the theoretically expected one. However, the same problem is present with other known methods (as noted in the previous section) and thus this method is comparable with others in that sense. Next, in applications, randomness is practically preserved despite computational errors. 1.13.1 Mapping [0 . . . 1) Into the Set of Combinations

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