formula

Hi In the database, we have a PRSN_ADDRESS table which has many addresses. A user is shown these addresses in a grid. The requirement is show the addresses associated with this user's state first and then show all other states. For example, say the table has 10 records with 5 of the addresses having state as Maryland, 2 from PA and 3 from NJ. Now if the user is associated with Maryland, we need to show all the 10 addresses, but Maryland addresses should show up in the first five and then the other 5 in any order. We are using Hibernate Criteria. I haven't worked on Formulas and not sure if

I am given the set {1, 2, 3, ... ,N}. I have to find the maximum size of a subset of the given set so that the sum of any 2 numbers from the subset is not divisible by a given number K. N and K can be up to 2*10^9 so i need a very fast algorithm. I only came up with an algorithm of complexity O(K), which is slow. amin k first calculate all of the set elements mod k.and solve simple problem: find the maximum size of a subset of the given set so that the sum of any 2 numbers from the subset is not equal by a given number K. i divide this set to two sets (i and k-i) that you can not choose set(i)

I am looking for a way to dynamically bind formulas throughout my DOM. We have a data intensive app, and currently I write many handlers to try and recalculate and update the appropriate cells. However, this is error-prone. I saw something that might be capable, hashigo . However it hasn't been updated in about a year and a half. Does anyone know of something similar that is under active development? I have been searching, but this is all I have managed to find. Ideally I only need to setup the formula, and it will handle monitoring if fields in the formula have changed, and update the value

I wrote this PHP code to implement the Flesch-Kincaid Readability Score as a function: function readability($text) { $total_sentences = 1; // one full stop = two sentences => start with 1 $punctuation_marks = array('.', '?', '!', ':'); foreach ($punctuation_marks as $punctuation_mark) { $total_sentences += substr_count($text, $punctuation_mark); } $total_words = str_word_count($text); $total_syllable = 3; // assuming this value since I don't know how to count them $score = 206.835-(1.015*$total_words/$total_sentences)-(84.6*$total_syllables/$total_words); return $score; } Do you have