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A crucial issue in teaching the course is deciding how the materials in Parts 11-IV are to be used The material in Part I should be covered in depth, and the student should write one or two programs that illustrate the design, implementation, and testing of classes and generic classes-and perhaps object-oriented design, using inheritance 6 discusses Big-Oh notation An exercise in which the student writes a short program and compares the running time with an analysis can be given to test comprehension In the separation approach, the key concept of 7 is that different data structures support different access schemes with different efficiency Any case study (except the tic-tac-toe example that uses recursion) can be used to illustrate the applications of the data structures In this way, the student can see the data structure and how it is used but not how it is efficiently implemented This is truly a separation Viewing things this way will greatly enhance the ability of students to think abstractly Students can also provide simple implementations of some of the STL components (some suggestions are given in the exercises in 7) and see the difference between efficient data structure implementations in the existing STL and inefficient data structure implementations that they will write Students can also be asked to extend the case study, but, again, they are not required to know any of the details of the data structures Efficient implementation of the data structures can be discussed afterward, and recursion can be introduced whenever the instructor feels it is appropriate, provided it is prior to binary search trees The details of sorting can be discussed at any time after recursion At this point, the course can continue by using the same case studies and experimenting with modifications to the implementations of the data structures For instance, the student can experiment with various forms of balanced binary search trees Instructors who opt for a more traditional approach can simply discuss a case study in Part I11 after discussing a data structure implementation in Part IV Again, the book's chapters are designed to be as independent of each other as possible.



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Tesseract (software) - Wikipedia
Tesseract is an optical character recognition engine for various operating systems. It is free software, released under the Apache License, Version 2.0, and development has been sponsored by Google since 2006. In 2006, Tesseract was considered one of the most accurate open - source OCR  ...

B is an object of the base class; D is an object of the publicly derived class; M is a member of the base class





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To start from an XML le, it must have well-formed XML data, and that XML data cannot be a schema By de nition, this means the data must have a single document element or top-level element, and the namespace of the data must not be that of the XML Schema speci cation There are no limitations in terms of the XML data you choose for importing The inferred schema InfoPath creates for your data will be very general and loosely de ned, meaning all data types are strings and not many special schema constructs, such as Choice, are used The primary reason why InfoPath isn t smarter about inferring schema is that the sample XML you use to create the form may not be very representative of how the (seemingly) unknown schema looks (An XML le is practically useless without a schema, so InfoPath was designed around the idea that all XML les have a schema that best describes them) If, for example, one of the nodes in the XML data is a number, it might look like this: <date>0605</date> For this example, let s say the user actually meant June 5th but his shorthand is 0605 If InfoPath picked the best t schema, this date eld would be interpreted as a decimal (double) data

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