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  • Does fast typing influence fast programming? [closed]

    - by Lukasz Lew
    Many young programmers think that their bottleneck is typing speed. After some experience one realizes that it is not the case, you have to think much more than type. At some point my room-mate forced me to turn of the light (he sleeps during the night). I had to learn to touch type and I experienced an actual improvement in programming skill. The most surprising was that the improvement not due to sheer typing speed, but to a change in mindset. I'm less afraid now to try new things and refactor them later if they work well. It's like having a new tool in the bag. Have anyone of you had similar experience? Now I trained a touch typing a little with KTouch. I find auto-generate lessons the best. I can use this program to create new lessons out of text files but it's only verbatim training, not auto-generated based on a language model. Do you know any touch typing program that allows creation of custom, but randomized lessons?

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • Cannot install Fast debugger in Netbeans 6.8 for Ruby 1.9

    - by Bragaadeesh
    Hi, I am using Netbeans 6.8 version and Ruby 1.9.1 installed on Windows XP. I tried to install the fast debugger and I am getting the following error. Building native extensions. This could take a while... ERROR: Error installing ruby-debug-ide: ERROR: Failed to build gem native extension. D:/Ruby19/bin/ruby.exe mkrf_conf.rb Building native extensions. This could take a while... Gem files will remain installed in D:/Ruby19/lib/ruby/gems/1.9.1/gems/ruby-debug-ide-0.4.9 for inspection. Results logged to D:/Ruby19/lib/ruby/gems/1.9.1/gems/ruby-debug-ide-0.4.9/ext/gem_make.out Have someone else faced this problem before. Please help. Thanks.

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  • SQLAuthority News – Fast Track Data Warehouse 3.0 Reference Guide

    - by pinaldave
    http://msdn.microsoft.com/en-us/library/gg605238.aspx I am very excited that Fast Track Data Warehouse 3.0 reference guide has been announced. As a consultant I have always enjoyed working with Fast Track Data Warehouse project as it truly expresses the potential of the SQL Server Engine. Here is few details of the enhancement of the Fast Track Data Warehouse 3.0 reference architecture. The SQL Server Fast Track Data Warehouse initiative provides a basic methodology and concrete examples for the deployment of balanced hardware and database configuration for a data warehousing workload. Balance is measured across the key components of a SQL Server installation; storage, server, application settings, and configuration settings for each component are evaluated. Description Note FTDW 3.0 Architecture Basic component architecture for FT 3.0 based systems. New Memory Guidelines Minimum and maximum tested memory configurations by server socket count. Additional Startup Options Notes for T-834 and setting for Lock Pages in Memory. Storage Configuration RAID1+0 now standard (RAID1 was used in FT 2.0). Evaluating Fragmentation Query provided for evaluating logical fragmentation. Loading Data Additional options for CI table loads. MCR Additional detail and explanation of FTDW MCR Rating. Read white paper on fast track data warehousing. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • Make the Web Fast: Google Web Fonts - making pretty, fast!

    Make the Web Fast: Google Web Fonts - making pretty, fast! Join us for a technical deep-dive on Web Fonts: how they work, the data formats, performance optimizations, and tips and tricks for making your site both fast and pretty at the same time - turns out, these two goals are not mutually exclusive! From: GoogleDevelopers Views: 468 69 ratings Time: 01:11:43 More in Science & Technology

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  • Apress Deal of the day - 23/Feb/2011 - Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server

    - by TATWORTH
    Today's $10 deal of the day at http://www.apress.com/info/dailydeal  is Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server by Richard Kessig - ISBN 978-1-4302-2383-2 I won a copy of this book at 101 Books. Richard Kessig is an all-star member of forums.asp.net - see http://forums.asp.net/members/RickNZ.aspx - this book has been on before as deal of the day. If you did not get a copy then, I suggest getting it today. " Ultra-Fast ASP.NET provides a practical guide to building extremely fast and scalable web sites using ASP.NET and SQL Server. It strikes a balance between imparting usable advice and backing that advice up with supporting background information. $49.99 | Published Nov 2009 | Rick Kiessig"

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  • Apress Deal of the day - 6/Feb/2011 - Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server

    - by TATWORTH
    Today's $10 deal of the day at http://www.apress.com/info/dailydeal  is Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server by Richard Kessig - ISBN 978-1-4302-2383-2 I won a copy of this book at 101 Books. Richard Kessig is an all-star member of forums.asp.net - see http://forums.asp.net/members/RickNZ.aspx " Ultra-Fast ASP.NET provides a practical guide to building extremely fast and scalable web sites using ASP.NET and SQL Server. It strikes a balance between imparting usable advice and backing that advice up with supporting background information. $49.99 | Published Nov 2009 | Rick Kiessig"

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  • Extracting dates from html meta data in FAST-ESP

    - by Neil
    During document processing I want to extract all dates from html meta data and then identify the latest date which will be used to populate a date field (dtgeneric1). <meta name="OriginalPublicationDate" content="2010/04/21 12:06:36" /> <meta name="LastModificationDate" content="2010/04/22 14:10:16" /> + other non-date meta data Inspection using spy stages shows that our pipeline already adds meta_* attributes but the meta data names will be different across documents from different sources. #### ATTRIBUTE meta_originalpublicationdate <class 'docproc.DocumentAttributes.TextChunks'>: 2010/04/21 12:06:36 #### ATTRIBUTE meta_lastmodificationdate <class 'docproc.DocumentAttributes.TextChunks'>: 2010/04/22 14:10:16 + other non-date meta attributes Ideally we would like to pass all the meta_* attributes to a Python stage and use that to work out which are dates and which is the largest but there seems to be no way of specifying "all meta attributes" as input. Has anyone done something similar and can offer any advice on the best way to do this. Thanks Neil

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  • Is Fast Enumeration messing with my text output?

    - by Dan Ray
    Here I am iterating through an array of NSDictionary objects (inside the parsed JSON response of the EXCELLENT MapQuest directions API). I want to build up an HTML string to put into a UIWebView. My code says: for (NSDictionary *leg in legs ) { NSString *thisLeg = [NSString stringWithFormat:@"<br>%@ - %@", [leg valueForKey:@"narrative"], [leg valueForKey:@"distance"]]; NSLog(@"This leg's string is %@", thisLeg); [directionsOutput appendString:thisLeg]; } The content of directionsOutput (which is an NSMutableString) contains ALL the values for [leg valueForKey:@"narrative"], wrapped up in parens, followed by a hyphen, followed by all the parenthesized values for [leg valueForKey:@"distance"]. So I put in that NSLog call... and I get the same thing there! It appears that the for() is somehow batching up our output values as we iterate, and putting out the output only once. How do I make it not do this but instead do what I actually want, which is an iterative output as I iterate? Here's what NSLog gets. Yes, I know I need to figure out NSNumberFormatter. ;-) This leg's string is ( "Start out going NORTH on INFINITE LOOP.", "Turn LEFT to stay on INFINITE LOOP.", "Turn RIGHT onto N DE ANZA BLVD.", "Merge onto I-280 S toward SAN JOSE.", "Merge onto CA-87 S via EXIT 3A.", "Take the exit on the LEFT.", "Merge onto CA-85 S via EXIT 1A on the LEFT toward GILROY.", "Merge onto US-101 S via EXIT 1A on the LEFT toward LOS ANGELES.", "Take the CA-152 E/10TH ST exit, EXIT 356.", "Turn LEFT onto CA-152/E 10TH ST/PACHECO PASS HWY. Continue to follow CA-152/PACHECO PASS HWY.", "Turn SLIGHT RIGHT.", "Turn SLIGHT RIGHT onto PACHECO PASS HWY/CA-152 E. Continue to follow CA-152 E.", "Merge onto I-5 S toward LOS ANGELES.", "Take the CA-46 exit, EXIT 278, toward LOST HILLS/WASCO.", "Turn LEFT onto CA-46/PASO ROBLES HWY. Continue to follow CA-46.", "Merge onto CA-99 S toward BAKERSFIELD.", "Merge onto CA-58 E via EXIT 24 toward TEHACHAPI/MOJAVE.", "Merge onto I-15 N via the exit on the LEFT toward I-40/LAS VEGAS.", "Keep RIGHT to take I-40 E via EXIT 140A toward NEEDLES (Passing through ARIZONA, NEW MEXICO, TEXAS, OKLAHOMA, and ARKANSAS, then crossing into TENNESSEE).", "Merge onto I-40 E via EXIT 12C on the LEFT toward NASHVILLE (Crossing into NORTH CAROLINA).", "Merge onto I-40 BR E/US-421 S via EXIT 188 on the LEFT toward WINSTON-SALEM.", "Take the CLOVERDALE AVE exit, EXIT 4.", "Turn LEFT onto CLOVERDALE AVE SW.", "Turn SLIGHT LEFT onto N HAWTHORNE RD.", "Turn RIGHT onto W NORTHWEST BLVD.", "1047 W NORTHWEST BLVD is on the LEFT." ) - ( 0.0020000000949949026, 0.07800000160932541, 0.14000000059604645, 7.827000141143799, 5.0329999923706055, 0.15299999713897705, 5.050000190734863, 20.871000289916992, 0.3050000071525574, 2.802999973297119, 0.10199999809265137, 37.78000259399414, 124.50700378417969, 0.3970000147819519, 25.264001846313477, 20.475000381469727, 125.8580093383789, 4.538000106811523, 1693.0350341796875, 628.8970336914062, 3.7990000247955322, 0.19099999964237213, 0.4099999964237213, 0.257999986410141, 0.5170000195503235, 0 )

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  • Fast Society Creates Mini and Mobile Temporary Social Networks

    - by ETC
    You’re out on the town or at a convention with a bunch of friends. How do you keep in touch with the entire group simultaneously? Fast Society offers a smartphone-based solution: a temporary social network for group talking, texting, and more. Fast Society was originally an iPhone only application and has recently updated to include and Android app too. The premise is simple: You set up a Fast Society group, link your friends into it, and for that night (or convention weekend) you’re all part of the same mini group. You can text the entire group, share pictures, set up sub-groups (let’s say that half your group is going to stay up late and party while half need to hit the rack to get up early for presentations, you can create a new group for the night owls to communicate), share your location, and send in-app and SMS messages to the entire group. Check out the video above to see it in action or hit up the link below to read more and grab a copy. Face Society [via Mashable] Latest Features How-To Geek ETC How to Get Amazing Color from Photos in Photoshop, GIMP, and Paint.NET Learn To Adjust Contrast Like a Pro in Photoshop, GIMP, and Paint.NET Have You Ever Wondered How Your Operating System Got Its Name? Should You Delete Windows 7 Service Pack Backup Files to Save Space? What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? Peaceful Alpine River on a Sunny Day [Wallpaper] Fast Society Creates Mini and Mobile Temporary Social Networks Page Zipper Unpacks Multi-Page Articles for Single-Page Display Minty Bug: Build an FM Bug Inside a Mint Container Get the MakeUseOf eBook Guide to Hacker Proofing Your PC Sync Your Windows Computer with Your Ubuntu One Account [Desktop Client]

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  • Determining whether two fast moving objects should be submitted for a collision check

    - by dreta
    I have a basic 2D physics engine running. It's pretty much a particle engine, just uses basic shapes like AABBs and circles, so no rotation is possible. I have CCD implemented that can give accurate TOI for two fast moving objects and everything is working smoothly. My issue now is that i can't figure out how to determine whether two fast moving objects should even be checked against each other in the first place. I'm using a quad tree for spacial partitioning and for each fast moving object, i check it against objects in each cell that it passes. This works fine for determining collision with static geometry, but it means that any other fast moving object that could collide with it, but isn't in any of the cells that are checked, is never considered. The only solution to this i can think of is to either have the cells large enough and cross fingers that this is enough, or to implement some sort of a brute force algorithm. Is there a proper way of dealing with this, maybe somebody solved this issue in an efficient manner. Or maybe there's a better way of partitioning space that accounts for this?

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  • How to Get Links Fast

    When you run a website you want it to be popular and well known. It is also true that most of us are impatient in a competitive arena that waits for no one. So for the webmaster to be, the biggest question when running a website is how to get links fast. So let us look at a few ways on how to get links fast.

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  • Polygon is rotating too fast

    - by Manderin87
    I am going to be using a polygon collision detection method to test when objects collide. I am attempting to rotate a polygon to match the sprites rotation. However, the polygon is rotating too fast, much faster than the sprite is. I feel its a timing issue, but the sprite rotates like it is supposed to. Can anyone look at my code and tell me what could be causing this issue? public void rotate(float x0, float y0, double angle) { for(Point point : mPoints) { float x = (float) (x0 + (point.x - x0) * Math.cos(Utilities.toRadians(angle)) - (point.y - y0) * Math.sin(Utilities.toRadians(angle))); float y = (float) (y0 + (point.x - x0) * Math.sin(Utilities.toRadians(angle)) + (point.y - y0) * Math.cos(Utilities.toRadians(angle))); point.x = x; point.y = y; } } This algorithm works when done singly, but once I plug it into the update method the rotation is too fast. The Points used are: P1 608, 368 P2 640, 464 P3 672, 400 Origin x0 is: 640 400 The angle goes from 0 to 360 as the sprite rotates. When the codes executes the triangle looks like a star because its moving so fast. The rotation is done in the sprites update method. The rotation method just increases the sprites degree by .5 when it executes. public void update() { if(isActive()) { rotate(); mBounding.rotate(mPosition.x, mPosition.y, mDegree); } }

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  • Windows 8 Doesn't Shutdown Properly With Fast Start-Up Enabled

    - by Patrick
    While Fast start-up is enabled, on turning the computer off (shutdown) the computer idles for about 5min after logging out/screen turning off. It then turns off. On returning into Windows I receive the error message saying Windows didn't shut down properly. Hibernate works fine, and I am told this shouldn't be the case - If one doesn't work, neither should. It works when both Fast start-up is enabled and disabled, as does restart and sleep. Windows is installed under UEFI. The UEFI ultra fast boot option for my motherboard cannot be enabled as my GPU doesn't support some UEFI GOP tech. As far as I know, not related to windows fast start-up, but thought it was worth mentioning. To clarify, if this: http://www.eightforums.com/tutorials/6320-fast-startup-turn-off-windows-8-a.html is enabled, the computer does not shut down properly. EDIT: Some more information on the matter: Formatting didn't fix the issue. Still fails regardless of drivers installed. Hardware was purchased ~6months ago. Running a good SSD. Event viewer Always these two messages in close succession: Error (event ID 6008): The previous system shutdown at 7:45:21 PM on ?27/?10/?2012 was unexpected. Critical (kernel power, event ID 41): The system has rebooted without cleanly shutting down first. This error could be caused if the system stopped responding, crashed, or lost power unexpectedly. Upon installing WPT as suggested below to figure out what was happening during shutdown, and running the cmd xbootmgr -trace shutdown -noPrepReboot -traceFlags BASE+CSWITCH+DRIVERS+POWER -resultPath C:\TEMP Windows fast start-up is now working consistently. Still works upon uninstalling WPT. This is the only change to occur on the computer. Nothing else has bee installed/uninstalled, no Windows Updates, nothing. Windows fast start-up did not work prior to installing WPT and running the cmd (made sure I tested).

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  • Java - learning / migrating fast

    - by Yippie-Kai-Yay
    This is not one of those questions like "How do I learn Java extremely fast, I know nothing about programming, but I heard Java is cool, yo". I have an interview for a Java Software Developer in a couple of weeks and the thing is that I think that I know C++ really good and I am somewhat good at C# (like, here I can probably answer on a lot of questions related to these languages), but I have almost zero experience with Java. I have a lot of projects written in both languages, I participiated in several open-source projects (mostly C++, though). Now, what should I do (in your opinion) to prepare myself for this Java interview. I guess migrating from C# to Java should be kind of fast, especially when you know a lot about programming in global, patterns, modern techniques and have a lot of practical experience behind you. But still two weeks is obviously not enough to get Java in-depth - so what should I focus on to have the best chances to pass the interview? Thank you.

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  • Fast Data: Go Big. Go Fast.

    - by J Swaroop
    Cross-posting Dain Hansen's excellent recap of the Big Data/Fast Data announcement during OOW: For those of you who may have missed it, today’s second full day of Oracle OpenWorld 2012 started with a rumpus. Joe Tucci, from EMC outlined the human face of big data with real examples of how big data is transforming our world. And no not the usual tried-and-true weblog examples, but real stories about taxi cab drivers in Singapore using big data to better optimize their routes as well as folks just trying to get a better hair cut. Next we heard from Thomas Kurian who talked at length about the important platform characteristics of Oracle’s Cloud and more specifically Oracle’s expanded Cloud Services portfolio. Especially interesting to our integration customers are the messaging support for Oracle’s Cloud applications. What this means is that now Oracle’s Cloud applications have a lightweight integration fabric that on-premise applications can communicate to it via REST-APIs using Oracle SOA Suite. It’s an important element to our strategy at Oracle that supports this idea that whether your requirements are for private or public, Oracle has a solution in the Cloud for all of your applications and we give you more deployment choice than any vendor. If this wasn’t enough to get the juices flowing, later that morning we heard from Hasan Rizvi who outlined in his Fusion Middleware session the four most important enterprise imperatives: Social, Mobile, Cloud, and a brand new one: Fast Data. Today, Rizvi made an important step in the definition of this term to explain that he believes it’s a convergence of four essential technology elements: Event Processing for event filtering, business rules – with Oracle Event Processing Data Transformation and Loading - with Oracle Data Integrator Real-time replication and integration – with Oracle GoldenGate Analytics and data discovery – with Oracle Business Intelligence Each of these four elements can be considered (and architect-ed) together on a single integrated platform that can help customers integrate any type of data (structured, semi-structured) leveraging new styles of big data technologies (MapReduce, HDFS, Hive, NoSQL) to process more volume and variety of data at a faster velocity with greater results.  Fast data processing (and especially real-time) has always been our credo at Oracle with each one of these products in Fusion Middleware. For example, Oracle GoldenGate continues to be made even faster with the recent 11g R2 Release of Oracle GoldenGate which gives us some even greater optimization to Oracle Database with Integrated Capture, as well as some new heterogeneity capabilities. With Oracle Data Integrator with Big Data Connectors, we’re seeing much improved performance by running MapReduce transformations natively on Hadoop systems. And with Oracle Event Processing we’re seeing some remarkable performance with customers like NTT Docomo. Check out their upcoming session at Oracle OpenWorld on Wednesday to hear more how this customer is using Event processing and Big Data together. If you missed any of these sessions and keynotes, not to worry. There's on-demand versions available on the Oracle OpenWorld website. You can also checkout our upcoming webcast where we will outline some of these new breakthroughs in Data Integration technologies for Big Data, Cloud, and Real-time in more details.

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  • Java - learning / migrating fast

    - by Yippie-Kai-Yay
    Hello! This is not one of those questions like "How do I learn Java extremely fast, I know nothing about programming, but I heard Java is cool, yo". I have an interview for a Java Software Developer in a couple of weeks and the thing is that I think that I know C++ really good and I am somewhat good at C# (like, here I can probably answer on a lot of questions related to these languages), but I have almost zero experience with Java. I have a lot of projects written in both languages, I participiated in several open-source projects (mostly C++, though). Now, what should I do (in your opinion) to prepare myself for this Java interview. I guess migrating from C# to Java should be kind of fast, especially when you know a lot about programming in global, patterns, modern techniques and have a lot of practical experience behind you. But still two weeks is obviously not enough to get Java in-depth - so what should I focus on to have the best chances to pass the interview? Thank you.

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  • Fast set indexing data structure for superset retrieval

    - by Asterios
    I am given a set of sets: {{a,b}, {a,b,c}, {a,c}, {a,c,f}} I would like to have a data structure to index those sets such that the following "lookup" is executed fast: find all supersets of a given set. For example, given the set {a,c} the structure would return {{a,b,c}, {a,c,f}, {a,c}} but not {a,b}. Any suggestions? Could this be done with a smart trie-like data structure storing sets after a proper sorting? This data structures is going to be queried a lot. Thus, I'm searching for a structure that might be expensive in build but rather fast to query.

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  • fast java2d translucency

    - by mdriesen
    I'm trying to draw a bunch of translucent circles on a Swing JComponent. This isn't exactly fast, and I was wondering if there is a way to speed it up. My custom JComponent has the following paintComponent method: public void paintComponent(Graphics g) { Rectangle view = g.getClipBounds(); VolatileImage image = createVolatileImage(view.width, view.height); Graphics2D buffer = image.createGraphics(); // translate to camera location buffer.translate(-cx, -cy); // renderables contains all currently visible objects for(Renderable r : renderables) { r.paint(buffer); } g.drawImage(image.getSnapshot(), view.x, view.y, this); } The paint method of my circles is as follows: public void paint(Graphics2D graphics) { graphics.setPaint(paint); graphics.fillOval(x, y, radius, radius); } The paint is just an rgba color with a < 255: Color(int r, int g, int b, int a) It works fast enough for opaque objects, but is there a simple way to speed this up for translucent ones?

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  • Implement Fast Inverse Square Root in Javascript?

    - by BBz
    The Fast Inverse Square Root from Quake III seems to use a floating-point trick. As I understand, floating-point representation can have some different implementations. So is it possible to implement the Fast Inverse Square Root in Javascript? Would it return the same result? float Q_rsqrt(float number) { long i; float x2, y; const float threehalfs = 1.5F; x2 = number * 0.5F; y = number; i = * ( long * ) &y; i = 0x5f3759df - ( i >> 1 ); y = * ( float * ) &i; y = y * ( threehalfs - ( x2 * y * y ) ); return y; }

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