asp.net - Web page request be aborted in Firefox -

-

i have created asp.net web application , host in iis ,but there aborted message on firebug status column when access web page .why?

enter image description here


Comments

Post a Comment

Popular posts from this blog

javascript - DIV "hiding" when changing dropdown value -

-
this related previous question asked: hide / show multiple divs i have code in place previous question , seems work ok apart when change value in dropdown "after" ticket selection made. i have number of javascrpts in place wondering if there clash somewhere? first bit of code in head of document. <head> <script type="text/javascript"> $(function() { $('.cat_dropdown').change(function() { $('#paymethod').toggle($(this).val() >= 2); }); }); </script> <script type="text/javascript"> $(document).ready(function () { $(".paymentmethod").click(function () { $(".paymentinfo").hide(); switch ($(this).val()) { case "credit card authorisation": $("#pay0").show("slow"); break; ...
Read more

html - Accumulated Depreciation of Assets on php -

-
i have problem table print out asset accumulated depreciation on php, stright line method. $query = mysqli_query($connect, "select current_value, salvage_value, useful_life, placed_service assets"); if(!$query){ echo 'could not run query b: ' . mysqli_error($connect); exit; } while($asset = mysqli_fetch_row($query)){ echo "assets :"; print_r($asset); $month = 12; $year = date('y',strtotime($asset[3])); $first_year = $month - ((int)date('m',strtotime($asset[3]))-1); $last_year = $month - $first_year; $first = round((($asset[0] - $asset[1])/$asset[2])*(($first_year)/12),0); $last = round((($asset[0] - $asset[1])/$asset[2])*(($last_year)/12),0); $others = ($asset[0] - $asset[1])/$asset[2]; echo "<table border=1>"; echo "<tr><th>year</th><th>book value year start</th><th>depreciation expense</th><th...
Read more

machine learning - algorithmic complexity of classification algorithms/artificial neural networks -

-
the algorithmic complexity of binary trees o(n), n being height of tree. there resources listing complexity of methods selecting best tree? e.g. boosted regression trees, cart or c4.5 (even mars) also, not familiar artificial neural networks, references seem point specific ann implementations being np-complete: http://people.csail.mit.edu/rivest/pubs/br93.pdf , http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.8997 . does know extent general result?
Read more