Algorithms

Lecture slides: A Crash Course in Minimal–Interval Semantics Why Minimal–Interval Semantics? How to compute it? You Can Do It Quickly! Can We Get Out Of The Boolean Tunnel? Wanna Try? Author: Sebastiano Vigna, University of MilanoRead more about this video…Want to control this feed contents? Sign up here and create your own feed!Want more on these topics?Browse the archive of

The algorithms for my Vedic Astrology Software were developed in 1998. Since I was conversant with Maths and Astrology, the process was easy for me. There were some bugs initially. But they were debugged and now my Zodiac software is one of the most accurate in the world ! In order to develop the software, I [...]

The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on all aspects of this field. The first section of the

Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical

Mike Swanson is at it again. You’ve seen Mike on Channel 9 before and you’ve probably used his SWF to XAML converter that he wrote a while back. His latest side project promises to be quite useful for conference owners who have the complex task of planning sessions for big technical events like PDC or [...]

The company says that the reason why it’s been so secretive is competition. However, at the same time, it realizes questions remain over how it is providing search results. In a post to the official Google blog, search quality chief Udi Manber said that the company has been purposely quiet on its ranking practices to protect [...]

Algorithms in Java, Part 5: Graph AlgorithmsOnce again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Michael Schidlowsky and Sedgewick have developed concise new Java implementations that both express the methods in a natural and direct manner and also can be used in real applications.Algorithms in Java, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly r

Alexa ranking is a very useful indictor to see how much traffic flowed to the website I concerned, and the level of popularity. But it had its own deficiency is that it only count the visits from those who have installed Alexa Toolbar. To many people, like me, who are disgusted to install too many toolbars in browser, they will refuse to install the Alexa Toolbar, and hence the number of visits will never be counted.To solve this problem, Alexa has made a great improvement to change its algorithms, and have taken multiple sources into consideration. Though it hasn’t mentioned what kinds of sources it has taken into account, it is always good to hear this great news. At least, all these have provided consistently accurate data to my websites/blogs.In this update, the Alexa Ranking for DaG

Bioinformatics Algorithms: Techniques and Applications Publisher: Wiley-Interscience | Language: English | ISBN: 0470097736 | 500 pages | Data: 2008 | PDF | 6 Mb Description: Targets the future collaboration of researchers in algorithms, bioinformatics, and molecular biology. It addresses critical bioinformatics research areas of protein-protein interaction, molecular modeling in drug design,

Google Tech Talks January, 23 2008 ABSTRACT I will describe some algorithms for addressing some fundamental optimization problems that arise in the context of data storage and management. In the first part of the talk we will address the following question: How should we store data in order to effectively cope with non-uniform demand for data? How many copies of popular data objects do we need? Where should we store them for effective load balancing? In the second part of the talk we will address the issue of moving data objects quickly, to react to changing demand patterns. We will develop approximation algorithms for these problems. The first part of the talk is joint work with Golubchik, Khanna,Thurimella and Zhu. The second part is joint work with Kim and Wan. Speaker: Samir Khulle

Natural selection has found these same principles time and time again and included them in different systems in different ways, but fundamentally the principles are the same. I think this is a growing new area of research; we are really trying to build across these different systems. Ants have algorithms. If you think about an ant colony, it's a computing device; there's some wonderful work by

At work today, Matt noted that he found Digg's algorithm far more interesting than Google's. I was shocked - after all, Digg isn't nearly as complex or widely used as Google, but with its rising popularity in the tech space, I could, at least, empathize with why he might feel that way. I also took it as a challenge to expose all the possible elements that might be in an algorithm at Digg, Reddit, Netscape, Shoutwire or other social-news-voting sites. Let's see how I do:BTW - I'm going to use a lot of Digg-specific terminology, despite the fact that I'm referring to all of the sites above.1. Number of votes over timeUses a floating target based on relative levels of popularity (as mentioned in timing below)Any number of votes in a very short period (if not manipulative) is stronger than the

Look around you. Computers and networks are everywhere, enabling an intricate web of com- plex human activities: education, commerce, entertainment, research, manufacturing, health management, human communication, even war. Of the two main technological underpinnings of this amazing proliferation, one is obvious: the breathtaking pace with which advances in microelectronics and chip design have been bringing us faster and faster [...]

I always knew that MS Excel can have immense applications in the field of medicine. I searched for good medical spreadsheets online with no luck for a long time. I was planning to create my own Excel templates for medical applications. But I never got time to learn the application in detail, let alone create my own spreadsheets. I was puzzled why such a simple yet fantastic idea never occurred in

Some time ago I had to deal with sorting algorithms. Besides my main task I found a good way how to test custom sorting algorithms. This blog entry is one of early birds, more about sorting algorihtms is coming soon. Hopefully some time after TechEd 2007 for Developers. The procedure I wrote to test sorting algorithms is simple and works. Of course, I am always opened for better ideas if somebody wants to suggest some. Here's the little overview about what I've done. Is array sorted? At first, let's look at method that checks if array is sorted or not. To make things simpler I expect that all members in array implement IComparable interface. This expectation has very strong point: it is easy to compare objects of classes that have comparison operators defined but it is

A new article by Dani Vainstein is available - Sorting Arrays (part 1)! You can automate projects for so long before you come across a sorting problem. Maybe it's a list of potential values that needs to be read into the script, maybe it's a list of users that has to be taken from the DB, or maybe it's your plain old output compare validation - no matter what the specifics are, you come to a point where you're gonna need to use a good sorting algorithm to pull it off. My experience tends to be frustrating around this point - it seems that even though there are countless sort and search resources on the web, they are either too theoretical and academic (and hence useless for my immediate needs), or practical - but in a different syntax (e.g. C++, .Java, etc.). Either way, they are useless to the QTP programmer who needs a solution HERE and NOW. Well, No more! From now on you can get an immediate (though deep) solutions to all your sort problems. In this article, Dani Vainstein begin

This book considers one of the basic problems in discrete mathematics: given a collection of constraints, describe up to isomorphism all the objects that meet them. Only a handful of classification results for combinatorial objects are dated before the mid-20th century; indeed, it is through modern computers and recent developments in algorithms that this topic has flourished and matured. This book is the first comprehensive reference on combinatorial classification algorithms, with emphasis on both the general theory and application to central families of combinatorial objects, in particular, codes and designs. The accompanying DVD provides an exhaustive catalogue of combinatorial objects with small parameters. The book will be of great interest to researchers and can be used as course material for graduate courses in both computer science and mathematics.Download Link

I started making a few more of my goal algorithms yesterday and thought it would be great to share how and why I do it with my readers. A goal algorithm is a step chart of your goals that is laid out with the steps you need to take to complete the goal that is on the top. I use algorithms on everything and my kids use it on homework, learning a new skill, projects they like to do, and many other areas in life. Life in it’s self is nothing more than an algorithm. You’re born - learn skills as you grow-up to get a job and take care of yourself - raise a family (for some people) - retire - then return to the earth (die). You use millions of infinite steps to complete this algorithm of life. I began thinking of life as an algorithm many years ago when I was going to collage for archaeology. When the class started the professor went around the room asking the students why they were there. Some gave usual answers (they were interested in past cultures) and others gave an “I

Author: Vincent T'kindt, Jean-Charles BillautPaperback: 359 pagesPublisher: Springer; 2nd ed. edition (March 2006)Language: EnglishISBN: 3540282300(R)Scheduling and multicriteria optimisation theory have been subject, separately, to numerous studies. Since the last twenty years, multicriteria scheduling problems have been subject to a growing interest. However, a gap between multicriteria scheduling approaches and multicriteria optimisation field exits. This book is an attempt to collect the elementary of multicriteria optimisation theory and the basic models and algorithms of multicriteria scheduling. It is composed of numerous illustrations, algorithms and examples which may help the reader in understanding the presented concepts. This book covers general concepts such as Pareto optimality, complexity theory, and general method for multicriteria optimisation, as well as dedicated scheduling problems and algorithms: just-in-time scheduling, flexibility and robustness, single mac

Julian Bucknall (Wordware Publishing, Inc.) Contents: Chapter 1 What is an Algorithm? • What is an Algorithm? • Algorithms and the Platform • Debugging and Testing • Summary Chapter 2 Arrays • Arrays • Array Types in Delphi • TList Class, an Array of Pointers • Arrays on Disk • Summary Chapter 3 Linked Lists, Stacks, and Queues • Singly Linked Lists • Doubly Linked Lists • Benefits and Drawbacks of Linked Lists • Stacks • Queues • Summary Chapter 4 Searching • Compare Routines • Sequential Search • Binary Search • Summary Chapter 5 Sorting • Sorting Algorithms • Sort Basics • Summary Chapter 6 Randomized Algorithms • Random Number Generation • Other Random Number Distributions • Skip Lists • Summary Chapter 7 Hashing and Hash Tables • Hash Functions • Collision Resolution with Linear Probing • Other Open-Addressing Schemes • Collision Resolution through Chaining • Collision Resolution through Bucketing • Hash Tables on Dis

Placement algorithms determine where in available real-memory to load a program. Common methods are first-fit, next-fit, best-fit. Replacement algorithms are used when memory is full, and one process (or part of a process) needs to be swapped out to accommodate a new program. The replacement algorithm determines which are the partitions to be swapped out. Share This

Author: Mitchell Waite, Robert LaforePaperback: 617Publisher: Waite Group Press; (March 1998) Language: EnglishISBN: 1571690956 Not filled with with obtuse mathematics and difficult proofs, MWSS:Data Structures and Algorithms in Java removes the mystique from DS&A. It does this in two ways. First, the text is written in a straightforward style, making it accessible to anyone. Second, unique new Java demonstration programs, called "Workshop Applets," are provided with the book. These Workshop Applets provide interactive "moving pictures" which the user can control and modify by pressing buttons. The book's text describes specific operations the user can carryout with these Workshop Applets, and the applets then reveal the inner workings of an algorithm or data structure. Zip Password: T0sT@rN@

Nice example using the Convex Hull Algoritms by Lost in Actionscript. If you don’t know about... [[ This is a content summary only. Visit my website for full links, other content, and more! ]]

Technical University Munich (Germany): 2 PhD Positions in Theoretical Computer Science / Algorithms Engineering Modern computers have faster and faster CPUs, such that it is getting more and more difficult to supply them with the data bandwidth to leverage this speed. This works reasonably well if data is accessed linearly, and basically impossible if memory accesses are random. Hence, to help

Helps students develop algorithmic intuition, i.e. understanding how various algorithms really work, how to attack a problem for the first time, how to tell which techniques will work at all and which ones will work best.

An easy-to-read introduction to Combinatorial Algorithms for any graduate student of mathematics or computer science. Provides a kit of building blocks with which the reader can construct more elaborate structures of his or her own.

Book Description High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area. High Performance Data Mining: Scaling Algorithms, Applications and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Book Description This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a

Google’s search algorithms might be just a bit off.  Some did a Google search for “giambra pregnancy” and ended up on my blog as a result of being the 6th listing on the result page. The person ended up reading an article I posted quoting Joel Giambra talking about the proposed casino.  The following quote is apparently what grabbed Google’s attention. "Screwing local businesses is not economic development," Giambra countered. Go figure. Technorati Tags: giambra, pregnancy, casino, Google, search Sponsored By: Images by Mike in WNY Unique and Original Buffalo Themed Gifts

Here is some important info you will need to understand how search engines function so you could optimize your site to their standards: HOW DO SEARCH ENGINES FUNCTION? A search engine's main job is to provide results that most satisfy user's query. If they present a result that the user visits and doesn't agree that the document is about their query, there is a very good chance that the user may not use that search engine again.Most search engines pay no attention at all to the Meta description tags. Meta description and keyword tags are hidden attributes that you can add to the front of your document which are supposed to describe the document. Since the users will never see this information, they will be disappointed if you stick in invalid keywords or fail to keep the description in line with the document's contents that usually is the case.Most Search Engine Algorithms rank pages based on the following aspects: Content of the website Representation of content, keywo

Posted under {Computer Science Video Lectures} by video_lectures .1. Persistent Data Structures 2. String Algorithms 3. R-Trees 3.1 R-Trees, Part I (5.5.2006) 3.2 R-Trees, Part II (11.5.2006) 4. Mechanism Design 5. Routing in Ad-hoc Networks 6. Loser Trees 7. Augmenting Data Structures 8. IP-Lookup Problem & Packet Classification+backtracking 9. Relaxed Balancing 10. Uniquely Represented