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Our recursive evaluation routine does have a few problems One is the call s ( 0) , for which the function behaves poorly' This behavior is natural because the recursive definition of S(N) does not allow for N < 1 We can fix this problem by extending the definition of S(N) to include N = 0 Because there are no numbers to add in this case a natural value for S(0) would be 0 This value makes sense because the recursive definition can apply for S(I ), as S(0) + 1 is I To implement this change, we just replace 1 with 0 on lines 4 and 5 Negative N also causes errors, but this problem can be fixed in a similar manner (and is left for you to do as Exercise 82) A second problem is that the return value may be too large to fit in an int,but that is not an important issue here A third problem, however, is that if the parameter n is large, but not so large that the answer does not fit in an int,the program can crash or hang Our system, for instance, cannot handle N 2 74,754 The reason is that, as we have shown, the implementation of recursion requires some bookkeeping to keep track of the pending recursive calls, and for sufficiently long chains of recursion, the computer simply runs out of memory We explain this condition in more detail later in the chapter This routine also is somewhat more time consuming than an equivalent loop because the bookkeeping also uses some time Needless to say, this particular example does not demonstrate the best use of recursion because the problem is so easy to solve without recursion Most of the good uses of recursion do not exhaust the computer's memory and are only slightly more time consuming than nonrecursive implementations However, recursion almost always leads to more compact code.



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29 Sep 2019 ... FreeOCR is software for Windows that allows most scanned PDF's and multi page Tiff images to be outputted either as plain text or as a Microsoft Word document. It can also scan text from other image files. The software is free to use, even for commercial purposes.

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21 Aug 2018 ... If you are in need of a reliable OCR software for your Windows 10 PC, try Readiris, ABBYY FineReader , Microsoft OneNote, or Simple OCR .

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Cidon, I, Georgiadis, L, G erin, R and Khamisy, A (1995) Optimal buffer sharing IEEE u J Selected Areas in Commun, 13, 1229 1240 Cooper, WL, Henderson, SG and Lewis, ME (2003) Convergence of simulation-based policy iteration Prob Engng and Inform Sci, 17, 000 000 De Cani, JS (1964) A dynamic programming algorithm for embedded Markov chains when the planning horizon is at in nity Management Sci, 10, 716 733 De Leve, G, Federgruen, A and Tijms, HC (1977) A general Markov decision method, I: model and method, II: applications Adv Appl Prob, 9, 296 335 Howard, RA (1964) Research in semi-Markovian decision structures J Operat Res Soc Japan, 6, 163 199 Jewell, WS (1963) Markov renewal programming: I and II Operat Res, 11, 938 971 Krishnan, KR and Ott, TJ (1986) State-dependent routing for telephone traf c: theory and results In: Proce 25th IEEE Conference on Decision and Control, Athens, Greece, pp 2124 2128 IEEE, New York Krishnan, KR and Ott, TJ (1987) Joining the right queue: a Markov decision rule In: Proce 26th IEEE Conference on Decision and Control, Los Angeles, pp 1863 1868 IEEE, New York Lippman, SA (1975) Applying a new device in the optimization of exponential queueing systems Operat Res, 23, 687 710 Nobel, RD and Tijms, HC (2000) Optimal control of a queueing system with heterogeneous servers and setup costs IEEE Trans Automat Contr, 45, 780 784 Norman, JM (1972) Heuristic Procedures in Dynamic Programming Manchester University Press, Manchester Sassen, SAE, Tijms, HC and Nobel, RD (1997) A heuristic rule for routing customers to parallel servers Statistica Neerlandica, 51, 107 121 Schweitzer, PJ (1965) Perturbation Theory and Markovian Decision Processes PhD dissertation, Massachusetts Institute of Technology Schweitzer, PJ (1971) Iterative solution of the functional equations of undiscounted Markov renewal programming J Math Anal Appl, 34, 495 501 Schweitzer, PJ and Seidman, A (1985) Generalized polynomial approximations in Markovian decision processes J Math Anal Appl, 110, 568 582 Seidman, A and Schweitzer, PJ (1984) Part selection policy of a exible manufacturing cell feeding several production lines AIEE Trans, 16, 355 362 Tijms, HC (1980) An algorithm for average cost denumerable state semi-Markov decision problems with applications to controlled production and queueing systems In: Recent Developments in Markov Decision Processes, edited by R Hartley, LC Thomas and DJ White, pp 143 179, Academic Press, New York Tijms, HC and Eikeboom, AM (1986) A simple technique in Markovian control with applications to resource allocation in communication networks Operat Res Lett, 5, 25 32 Wijngaard, J (1979) Decomposition for dynamic programming in roduction and inventory control Engng and Process Econom, 4, 385 388.

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