By Joseph N. Hall
ISBN-10: 0201419750
ISBN-13: 9780201419757
The e-book on Perl that skilled Perl programmers were searching for, potent Perl Programming explains idiomatic Perl, masking the most recent liberate (Version 5). It comprises info and important examples in regards to the constitution, capabilities, and most recent services of the language, reminiscent of self-documenting object-oriented modules. research from Hall's solutions to "real lifestyles" questions and difficulties he gets from newsgroups and his Perl seminars.
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Additional resources for Effective Perl Programming: Writing Better Programs with Perl
Example text
As “successive approximations” to the final answer x∗ . Alternatively, the recursive equation x = min{x, ai } can be solved using a successive approximations process that sets a “minimum-so-far” variable x to the minimum of its current value and some next value ai , where x is initially ∞. Borrowing the terminology used for infinite sequences, we say the finite sequence xi , or the “minimum-so-far” variable x, “converges” to x∗ . } We will also borrow the term relaxation to characterize such successive approximations techniques.
Although finding an iterative solution for the Fibonacci problem is easy, and it also happens to be easy for the linear search problem, in general we cannot expect this to be the case for DP problems. 2 The State-Decision-Reward-Transformation Table This book will describe an alternative to conventional programming, as illustrated above, based on the ability to automatically generate the state space for a given DPFE. 1, the state space is the set {{a, b, c}, {b, c}, {a, c}, {a, b}, {c}, {b}, {a}, ∅} or {{0, 1, 2}, {1, 2}, {0, 2}, {0, 1}, {2}, {1}, {0}, ∅} if we give the decisions a, b, and c the numerical labels 0,1,2 instead.
7 Staged Decisions It is often convenient and sometimes necessary to incorporate stage numbers as a part of the definition of the state. For example, in the linear search problem there are N distinct decisions that must be made, and they are assumed to be made in a specified order. We assume that N , also called the horizon, is finite and known. The first decision, made at stage 1, is to decide which data item should be placed first in the array, the second decision, made at stage 2, is to decide which data item should be placed second in the array, etc.
Effective Perl Programming: Writing Better Programs with Perl by Joseph N. Hall
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