By Dave Thomas, David Heinemeier Hansson, Sam Ruby
Ruby on Rails is helping you produce top of the range, beautiful-looking net functions speedy. you consider developing the applying, and Rails looks after the details.
Tens of hundreds of thousands of builders have used this award-winning ebook to benefit Rails. It's a large, far-reaching instructional and reference that's prompt via the Rails middle staff. If you're new to Rails, you'll get step by step assistance. If you're an skilled developer, this ebook offers you the great, insider details you need.
Rails has advanced through the years, and this publication has advanced in addition to it. We nonetheless commence with a step by step walkthrough of creating a true software, and in-depth chapters examine the integrated Rails beneficial properties. This version now supplies new Ruby and Rails clients additional info at the Ruby language and takes extra time to provide an explanation for key techniques all through. most sensible practices on the way to follow Rails proceed to alter, and this variation retains up. Examples use cookie sponsored periods, HTTP authentication, and energetic Record-based types, and the publication focuses all through at the correct solution to use Rails. also, this variation now displays Ruby 1.9, a brand new unlock of Ruby with sizeable useful and function improvements.
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Additional resources for Agile Web Development with Rails (4th edition)
Image 42 CHAPTER 2 reconstruction is a procedure for processing the measurement data to construct an image of the object. Readers are referred to [21, 6, 41] and the references therein for detailed descriptions. A very important scientific application of image reconstruction is in computerized tomography (CT) for medical diagnosis. Physicians need to know, for example, the location, shape, and size of a suspected tumor inside a patient's brain in order to plan a suitable course of treatment. With computerized tomography, images of cross-sections of a human body can be constructed from the data obtained by measuring the attenuation of X-rays along a large number of straight lines (or strips) through each cross-section.
Similarly, the term skw in the first constraint can be refined by using s~w to represent the area used by a type w household with a type k house in a zone i. i I - < H'! 80) w where H~ denotes the number of type k houses available in zone i. J ' " 35 = Hi? Vi,k. 81) W Note that Herbert and Stevens' model ignored the spatial interaction between home location and work location. To address this issue, let us assume that every household has only one key worker and the worker works in a particular zone j.
Assume that the measurement data are obtained by observing m projections. We denote the measurement data by d == (d 1 , d 2 , ••• , dm). 117) where A = [aij] is a projection matrix. 117) reflects the possible errors in modeling and measurement. Entropy Optimization Models 43 A number of models have been developed for solving the image reconstruction problem. In this section, we focus on the method that discretizes the image and partition its support into a finite number of equi-sized squared regions (called pixels or cells) whose centers are the n sample points.