Recursion

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  • Base cases. You must always have some base cases, which can be solved without recursion. Making progress. Recursive call must always be to a case that makes progress towards some base case. Design rule. Assume that all the recursive calls works.

    ppt26p locnp0209 11-06-2011 104 22   Download

  • Subprogram implementation Recursion Designing recursive algorithms Recursion removal Backtracking Examples of backtracking and recursive algorithms: Factorial Fibonacci The towers of Hanoi Eight Queens Problem Tree-structured program: Look-ahead in Game

    pdf85p unknownno30 14-11-2012 18 2   Download

  • Minimal Recursion Semantics (MRS) is the standard formalism used in large-scale HPSG grammars to model underspecified semantics. We present the first provably efficient algorithm to enumerate the readings of MRS structures, by translating them into normal dominance constraints.

    pdf8p bunbo_1 17-04-2013 20 2   Download

  • Reduce problem into smaller instances of same problem - recursive solution Recursive algorithm has two cases: Base/stopping case Recursive case, Ensure no infinite recursion. Use criteria to determine recursion correct

    ppt33p sakuraphuong 30-05-2013 24 3   Download

  • A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised bootstrapping algorithm that uses a single seed and a recursive lexico-syntactic pattern to learn the arguments and the supertypes of a diverse set of semantic relations from the Web. We evaluate the performance of our algorithm on multiple semantic relations expressed using “verb”, “noun”, and “verb prep” lexico-syntactic patterns. ...

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  • We consider the problem of parsing non-recursive context-free grammars, i.e., context-free grammars that generate finite languages. In natural language processing, this problem arises in several areas of application, including natural language generation, speech recognition and machine translation. We present two tabular algorithms for parsing of non-recursive context-free grammars, and show that they perform well in practical settings, despite the fact that this problem is PSPACEcomplete.

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  • Efficient syntactic and semantic parsing for ambiguous context-free languages are generally characterized as complex, specialized, highly formal algorithms. In fact, they are readily constructed from straightforward recursive Iransition networks (RTNs). In this paper, we introduce LR-RTNs, and then computationally motivate a uniform progression from basic LR parsing, to Earley's (chart) parsing, concluding with Tomita's parser. These apparently disparate algorithms are unified into a single implementation, which was used to automatically generate all the figures in this paper. 1.

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  • A purely functional implementation of LR-parsers is given, together with a simple correctness proof. It is presented as a generalization of the recursive descent parser. For non-LR grammars the time-complexity of our parser is cubic if the functions that constitute the parser are implemented as memo-functions, i.e. functions that memorize the results of previous invocations. Memo-functions also facilitate a simple way to construct a very compact representation of the parse forest.

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  • Introduction to java programming: Chapter 19 - Recursion's Objectives is to know what is a recursive method and the benefits of using recursive methods; to determine the base cases in a recursive method; understand how recursive method calls are handled in a call stack.

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  • Phương pháp thiết kế một giải thuật đệ quy: Tham số hoá bài toán. Phân tích trường hợp chung : đưa bài toán dưới dạng bài toán cùng loại nhưng có phạm vi giải quyết nhỏ hơn theo nghiã dần dần sẽ tiến đến trường hợp suy biến. Tìm trường hợp suy biến.

    ppt58p thienthanoze 14-01-2011 281 120   Download

  • Tham khảo tài liệu 'bài 16-recursion', công nghệ thông tin, cơ sở dữ liệu phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    ppt45p viptieubang 21-10-2011 52 15   Download

  • Chapter 3 Dynamic Programming This chapter introduces basic ideas and methods of dynamic programming. 1 It sets out the basic elements of a recursive optimization problem, describes the functional equation (the Bellman equation), presents three methods for solving the Bellman equation

    pdf11p summerflora 28-10-2010 38 8   Download

  • Part III Competitive equilibria and applications Chapter 7 Recursive (Partial) Equilibrium 7.1. An equilibrium concept This chapter formulates competitive and oligopolistic equilibria in some dynamic settings. Up to now, we have studied single-agent problems where components of the state vector not under the control of the agent were taken as given.

    pdf18p summerflora 28-10-2010 49 6   Download

  • Chapter 12 Recursive competitive equilibria 12.1. Endogenous aggregate state variable For pure endowment stochastic economies, chapter 8 described two types of competitive equilibria, one in the style of Arrow and Debreu with markets that convene at time 0 and trade a complete set of history-contingent securities

    pdf26p summerflora 28-10-2010 59 6   Download

  • Part V Recursive contracts Chapter 18 Dynamic Stackelberg problems 18.1. History dependence Previous chapters described decision problems that are recursive in what we can call ‘natural’ state variables, i.e., state variables that describe stocks of capital, wealth, and information that helps forecast future values of prices and quantities

    pdf22p summerflora 28-10-2010 39 6   Download

  • If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics....

    pdf298p hoa_can 26-01-2013 30 8   Download

  • Chapter 19 Insurance Versus Incentives 19.1. Insurance with recursive contracts This chapter studies a planner who designs an efficient contract to supply insurance in the presence of incentive constraints imposed by his limited ability either to enforce contracts or to observe households’ actions or incomes.

    pdf61p summerflora 28-10-2010 46 5   Download

  • Chapter 21 Optimal Unemployment Insurance 21.1. History-dependent UI schemes This chapter applies the recursive contract machinery studied in chapters 19, 20, and 22 in contexts that are simple enough that we can go a long way toward computing the optimal contracts by hand.

    pdf22p summerflora 28-10-2010 46 5   Download

  • Chapter 23 Two topics in international trade 23.1. Two dynamic contracting problems This chapter studies two models in which recursive contracts are used to overcome incentive problems commonly thought to occur in international trade. The first is Andrew Atkeson’s model of lending in the context of a dynamic setting

    pdf34p summerflora 28-10-2010 41 5   Download

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