e-book STL Pocket Reference: Containers, Iterators, and Algorithms (Pocket Reference (OReilly))

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O'Reilly, Paperback. Book Condition: New. A compact reference for programmers offers quick answers to and explanations of the.

Standard Template Library Quick Reference. Containers are general -purpose template classes that are designed to store objects of almost any type. Published October 27, Author lischner, ray. Delivery Time 10 - 15 days.

ISBN 13: 9780596005566

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STL Pocket Reference -

App Download. US UK. Thank you for subscribing! Please check your email to confirm your subscription. Indeed, although it is technically accurate to claim that ADDITION is O 2n , such a statement provides very little information it would be like saying that you need no more than one week to perform a five-minute task. We chose the more informal and widely accepted use of O f n to simplify the presentations and analyses. References Bentley, Jon Louis and M. Programmers spent hours happily writing code to solve the problem at hand, while at the same time others also were coding solutions to identical, or very similar, problems.

There are several reasons programmers create unique solutions rather than seeking an existing solution. One reason, of course, is the tendency to believe that we can always build a better mousetrap. Programming for many of us has the same appeal that the game of chess has for chess aficionados. Some reasons are more important than others when considering why programmers continue to write the same solutions for problems from scratch: A Communication Language In the late s, a few visionary software developers began looking for new ways to communicate their designs with one another.

Some of them happened upon a work by Christopher Alexander, a professor of architecture at the University of California, Berkeley, called A Pattern Language: Towns, Buildings, Construction In this seminal work, Alexander developed a theory for describing architectural design. In , Kent Beck and Ward Cunningham, two well-known leaders of the object-oriented paradigm, introduced the idea of applying design Algorithms in a Nutshell Page 46 Return to Table of Contents. The idea caught on and people began to think about software design patterns.

As with any good idea, the software industry embraced patterns and their use became ubiquitous, to the point where everything could be described by a pattern. Using coding standards was a pattern. Sitting together with a partner to debug a program was a pattern. Well, you get the idea. Patterns are a great way to communicate precisely and concisely well-formed concepts.

We will—at the risk of applying patterns to yet another area of computer science—use patterns as a way to communicate the algorithms in this book. We prefer the following definition for design patterns: A design pattern is a proven solution to a commonly occurring problem.

This definition is short and conveys the absolute essence of design patterns. First and foremost, a design pattern is a solution to a real problem. But, a pattern is not a template where you simply fill in the blanks.

It is an approach, or a plan, for solving a particular class of problems. Armed with a set of design patterns in your toolbox, you are on your way to becoming a master craftsman of software design. We can think of algorithms in different ways. Many practitioners are happy to look up an algorithm in a book or on some website, copy some code, run it, maybe even test it, and then move on to the next task.

In fact, this approach can lead you down the wrong path where you select a specific implementation of an algorithm. Algorithms are, in fact, proven solutions to known problems, so they fit our definition of a pattern. The Form of an Algorithm Pattern Design patterns are typically presented in a stylized manner that makes it easy to understand and communicate to others. Not all pattern writers or books on patterns agree on the specific form, but they have many elements in common.

We have adopted a style for presenting algorithms as patterns that we believe will be effective for the reader. Feel free to recast them to your favorite form if that helps you get a better understanding of the material. Algorithm Pattern Format 41 Patternsand Domains Each algorithm is presented using a fixed set of sections that conform to our pattern language. Sometimes a section may be omitted if it adds no value to the algorithm description.

Sometimes we may add another section to the description to illuminate a particular point. Algorithm Pattern Format Each algorithm is presented using the following pattern sections: Name A descriptive name for the algorithm. We use this name to communicate concisely the algorithm to others. Synopsis A high-level description of the algorithm and what it is designed to do.

They are the things that would cause you to choose this algorithm specifically. Solution The algorithm description using real working code with documentation. Where appropriate, UML class diagrams are also included. Analysis A synopsis of the analysis of the algorithm, including performance data as well as other data that helps the reader understand the behavior of the algorithm.

We will provide references to actual texts that present the appropriate lemmas and proofs to explain why the algorithms behave as described. Related algorithms Presents either slight variations of the algorithm or different alternatives. The real power of using such a template for the algorithms is that you can quickly compare and contrast different algorithms.

At the same time, you can identify commonalities in seemingly different algorithms. For readers who are not familiar with all of these languages, we first introduce each algorithm in pseudocode with a small example showing its execution. Consider the sample fact sheet shown in Figure Each algorithm is named, and its performance is clearly marked for all three behavior cases best, average, and worst. The upper-right corner of the fact sheet lists a set of concepts used by the algorithm. This is a place that can be used to rapidly see commonalities among different algorithms e.

Some of these concepts relate to the data structure s used by the algorithm e. Keywords and function names are described in boldface text. All variables are in lowercase characters, whereas arrays are capitalized and their elements are referred to using A[i] notation. The indentation in the pseudocode describes the scope of conditional if statements and looping while and for statements.

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All statements within a function are numbered for reference if necessary in descriptions in the individual chapters. Design Format 43 Patternsand Domains You should refer first to the fact sheet and use it as a reference when reading the provided source code implementations.

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Within the fact sheet, a small example is used to better explain the execution of the algorithm. These diagrams are a helpful aid to understanding code that takes advantage of class inheritance and polymorphism.

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Figure contains a sample class diagram showing the relationship between a superclass SegmentTreeNode and two subclasses, DefaultSegmentTreeNode and StoredIntervalsNode, that extend SegmentTreeNode using inheritance as identified by the arrows terminating in triangles. Each class box has two parts: The leading symbols for each declared attribute or method are significant: Patterns and Domains protected Declares that the attribute or method is visible to the class or any of its subclasses; if the underlying implementation is Java, then the attribute or method is also visible to classes within the same package.

We intentionally do not list in the class diagram any private methods that may exist. Class methods declare their return type which may be void and parameter list which may be empty. Constructor methods have the same name as the class within which they are defined. Look to the accompanying text in the algorithm chapters, which will help differentiate these two situations.

In Java, there is an additional type of relationship between a class and an interface that the class implements. This relationship is depicted in Figure by means of a dashed line terminating in an open triangle. Empirical Evaluation Format The implementations of the algorithms are all executed with a series of benchmark problems, appropriate for each individual algorithm. The appendix provides more detail on the mechanisms used for timing purposes.

In general, we execute all algorithms on two different platforms: Together these provide a range within which most systems should exist.

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