in this issue

A PUBLICATION OF WOLFRAM RESEARCH ISSUE ONE 2006

Wolfram Research solutions further innovation at the frontiers of science and technology details inside

Mathematica® Personal Grid Edition

The Wolfram Technology Guide

WolframTones™

Inside Wolfram Research with Conrad Wolfram

Exploring New Horizons with Mathematica

Optics

Energy

Biomedical Engineering

Manufacturing

Scientific Visualizations with Mathematica

webMathematica™

technical software news

Creating Random Minimal Surfaces, page 6

Introducing Mathematica Personal Grid Edition

Personal supercomputing is now a reality

choice for demanding technical computing

applications. All-platform 64-bit computing

has broken the memory barrier, while fast

machine-optimized dense and sparse linear

algebra gives Mathematica unparalleled

numerical speed. These versions also

incorporate major new functionality for

connectivity—including built-in database

link, web services, and numerous file

format converters—as well as hundreds of

new numerical and symbolic algorithms.

“ …the perfect prototyping environment for large-scale parallelism.”

gridMathematica™ extends this high-level

framework to enterprise parallel computing.

Now Mathematica Personal Grid Edition is

the only solution to bring high-performance

supercomputing to the individual desk,

continuing the Wolfram Research tradition

of cutting-edge innovation.

“Traditionally, parallel computing has

been the realm of specialist programmers with

limited understanding of the application field.

Researchers had to cross multiple barriers—

including prohibitive cost, administrative

overhead, remote locations, and hard-to-

With Mathematica Personal Grid Edition and

new cost-effective quad-core computers,

personal supercomputing is now a reality.

Mathematica Personal Grid Edition eliminates

the barriers to using parallelism as part of

your daily workflow—with no administrative

overhead and no contending for shared

resources—and opens the door to new

possibilities in high-performance computing.

You can easily tackle larger problems and

investigate parallel approaches at any stage

of the problem-solving process—right at

your desk and at your own convenience.

Mathematica Personal Grid Edition

combines the computational capabilities of

Mathematica with high-level parallel language

extensions to create an optimal computing

framework for quad-core machines, instantly

changing the supercomputing landscape.

Mathematica’s high-level language and

state-of-the-art numeric and symbolic solvers

make it ideal for doing exploratory technical

computing in a wide range of fields, resulting

in increased productivity and letting you

push the limits further than ever before.

The Mathematica 5 series (5.0, 5.1,

5.2) provided numerous performance and

scalability enhancements to the software of

Significant Computation SpeedupsUsers of Mathematica Personal Grid Edition will see performance improvements of up to 300%, depending on their system.

4.77251% increase

SGI Prism (Intel Itanium 2)

Mathematica Personal Grid Edition Mathematica

1.90

3.86254% increase

HP Proliant DL385 (AMD Opteron)

1.52

3.49266% increase

Sunfire V40z (AMD Opteron)

1.31

3.17233% increase

PowerMac G5 Quad (Apple G5)

1.36

2

use APIs—to perform parallel computations,

often putting this resource beyond their

reach,” said Roger Germundsson, Director

of Research and Development at Wolfram

Research. “Now parallel computing can

directly be used by individual researchers as

an integral problem-solving method. With

Mathematica Personal Grid Edition and a

quad-core machine, you have an immediately

useable environment for exploring parallelism

at any level.”

Mathematica Personal Grid Edition offers

performance improvements up to 300%

over standard Mathematica with minimal

changes required. For more intensive parallel

applications, programs can run unchanged

on grids or clusters of any size using

gridMathematica. This makes Mathematica Personal Grid Edition also the perfect

prototyping environment for large-scale

parallelism, and adds another dimension to

Wolfram Research’s ability to conveniently

handle all of your supercomputing needs

within the same basic framework.

For more information about Mathematica Personal Grid Edition, visit:

wolfram.com/r/7015/personalgrid

The Mathematica Personal Grid ConfigurationThe master kernel handles all input, output, and scheduling, and it is controlled from the front end. The computation kernels receive commands from the master kernel.

SAVE 20% when you upgrade your copy of

Mathematica 5.2 to Mathematica

Personal Grid Edition. Offer valid until 3/31/2006 (commercial,

government, and academic single-license

holders only). Contact Customer Service or

your reseller for more details.

inside wolfram research From the Desk of Conrad Wolfram, Director of Strategic Development

The technology inside matters.When you see “solves differential equations” as a software feature do you instinctively believe that it means “solves differential equations accurately”?

If you’re not using the right method, the right parameters, and appropriate precision, you can easily get the wrong answer—or perhaps better, no answer at all. How are you supposed to choose between 25 differential equation solving methods, which can be combined in many ways? Unless you’re an expert at solving differential equations, you probably won’t try to research it; instead you’ll guess and hope for the best.

One of the unique technologies in Mathematica is Automatic Algorithm Selection (AAS)—where not only the algorithms but the best choice of algorithm for a given problem is programmed in. That takes the guesswork out, leaving you to specify your problem and interpret your answer. Moreover, AAS can offer optimizations not practical manually—not only choosing between the 25 methods available but also switching between them mid-calculation, for instance.

Using AAS for solving differential equations is just one example of where the technology inside matters. 64-bit computing. Task-oriented superfunctions. There are many other technologies that make just as much difference—between answer and no answer, right or wrong.

These technologies matter all the more because of the frontier work entrusted to Mathematica. When you’re doing everyday calculations, you have some idea of what the answer will be and how to approach the problem. When what you’re doing is new or different, you need to have confidence in what’s going on behind the scenes—that the hard case has been thought through and tested for as well as the easy one you’ll get in a demo.

This obsessive attention to detail is a major reason why Mathematica has become predominant among innovators in every field. And this dependence on our technology for frontier work is tremendously motivating in driving us to move Mathematica itself to new frontiers.

How much do you know about all these unique technologies—and where they’ve made a difference? Probably very little. In a way, that’s pleasing; it’s testament to their unobtrusive ability to get the right results. But it’s important that you appreciate what’s inside so you can have that extra “Mathematica confidence” in your work, and explain to those non-Mathematica colleagues the error of their ways (or was that methods)!

Enter our new online Technology Guide at www.wolfram.com/technology. See the ways in which the technology inside matters.

P.S. Send me your comments on the Technology Guide—or any ideas for illustrating the superiority of our technology. Contact me at conrad_wolfram@wolfram.com.

3

Find out what makes Mathematica such a unique and powerful technical computing system in the Wolfram Technology Guide. This new online resource provides an essential overview of a number of the key technologies that make Mathematica the tool of choice for leaders in science and technology. The Technology Guide’s easily navigated, interactive interface lets you jump directly to features of interest, complete with visual illustrations or animated examples that show how the technology makes a difference when you use Mathematica for your computational needs. Want to know more? Related links on each page quickly take you to other important features also highlighted in the guide or to helpful documentation and

product information elsewhere on the Wolfram Research website.

wolfram.com/r/7015/technology

WolframTones, the new online music and ringtone generator based on core discoveries from Stephen Wolfram’s A New Kind of Science™, is using webMathematica to unearth unique musical patterns from deep within the computational universe. Visitors to the innovative site can instantly compose original music from a virtually limitless array of abstract patterns. The patterns are derived from cellular automata (CA), simple rules that capture the essence and beauty of many complex systems in nature. The underlying webMathematica engine instantly converts the CA patterns to musical scores. Users can then enhance the compositions by adding instruments and percussion, adjusting scales and tempo, and selecting from a variety of musical styles. The music can be downloaded directly to cellular phones, sent to colleagues, or saved online in a My Tones collection. With webMathematica’s unparalleled power at its core, the emerging WolframTones technology has already given countless users the opportunity to explore—and actually hear—some of the many highly complex systems hidden in nature.

Fueled by the intuition of A New Kind of Science and the capabilities of webMathematica, WolframTones opens the door to interesting new areas of scientific inquiry. The distant corners of the computational universe may now be just a click away.

wolfram.com/r/7015/tones

WolframTones

A new kind of music powered by webMathematica

Instant Composition ControlsThe user-friendly interface features interactive buttons, pull-down menus, and sliders—all handled automatically by webMathematica.

The Wolfram Technology GuideNEW ONLINE

A look at the technology inside

A Snapshot of the Technology Guide Select from the index listing on the left for a brief description of each unique Wolfram technology.

Exploring New Horizons with MathematicaMathematica’s robust technology is being used across industries to spark key innovations at the frontiers of science.

X3D Technologies GmbH, the leading creator of “glasses-free” 3D display screens, uses Mathematica for almost all its product development. The company recently designed a 3D projection wall display with a diagonal screen size of over 15 feet (4.5 meters), which is believed to be the world’s largest ever. Mathematica was essential to the realization of this technological breakthrough and the timeframe in which it was accomplished. “Glasses-free” 3D means that viewing aids such as glasses or virtual-reality helmets are not needed—the lifelike images can be seen by the naked eye. These stereo images consist of multiple, layered 2D images or perspectives, and a key problem is to find the best distribution of perspectives that correspond to create a high-quality 3D visualization. Mathematica enables X3D Technologies GmbH to study the optical properties of these 3D images and systems and to quickly check the effects of possible modifications. It also allows development and testing of the proprietary algorithms the company uses to produce 3D projection displays. The creation of a large-scale glasses-free 3D display has very exciting implications for future projects in a broad array of fields, including the computer and film industries, engineering, and

environmental sciences, to name a few. X3D Technologies GmbH also produces and tests other screens ranging in size from small ones for cellphones and PDAs, to midsize screens for medical imaging and gaming devices, to larger LCD and plasma screens of up to 50 inches for advertising and entertainment purposes. wolfram.com/r/7015/optics

…In Optics

World’s largest 3D display screen created with Mathematica

Creator Ingo Re lke presents the record-breaking X3D screen at the 2005 World Expo in Japan.

4

Amid ever-increasing demand, recent electricity crises and seasonal shortages in major regions around the world—California, Brazil, New Zealand, India—are having a major impact. The restructuring of the electric power industry continues to be an important topic for consumers, investors, policy makers, and the public at large. Researchers at Argonne National Laboratory are investigating solutions to this problem to help guide eventual system implementations, and they are relying on Mathematica to do so. In one major power market, Argonne’s team has used Mathematica to model the constraints and effects of proposed electrical deregulation by developing an agent-based simulation model of important parameters of the power grid and the likely effects of deregulation. Mathematica has allowed them to consider issues including how the power system will fare under electricity deregulation, whether power transmission capacity will be adequate, if congestion is likely and at what times throughout the year, how to avoid transmission constraints on the power grid that could create regional imbalances between electricity supply and demand, and whether such imbalances could create pockets of market power and potentially drive up locational marginal prices for electricity.

Argonne turns the results into high-quality interactive graphics that can be easily shared with others over the web using LiveGraphics3D, a Mathematica-based web application. wolfram.com/r/7015/energy

…In Energy

Using Mathematica to model restructured electric power markets

Interactive mapping of a statewide electric power transmission network, including providers by region, plant locations, load concentrations, and consumer data.

The Mathematica Edge

Ease of formally defining new data types and their interactions

Notebook format doubles as professional presentation environment

Fully programmable, interactive graphics for visualization

“ The success of our 3D display technology was due to using Mathematica from the beginning.”

Fifteen to 20 percent of all people live with chronic back pain, but researchers now hope to improve treatment results for patients with an advanced intervertebral disc replacement for the spine. Eindhoven University of Technology and the Netherlands Organization for Applied Research have developed new algorithms and a complete workflow in Mathematica to build customized endplates for disc prostheses. Using 3D MRI and CT scans, the exact shape of a customized disc can be determined without any surgery. This is made possible by a segmentation technique that is both more accurate than other methods and is easier to understand. Imagine a small balloon inflated between two spinal vertebrae until it is perfectly meshed against the vertebral surfaces. Those contours are used to model the geometry of the needed prosthesis. Scan images are imported into Mathematica and enhanced as needed,

followed by a three-dimensional fit using a “balloon” algorithm developed in Mathematica. The results are exported directly to a CNC machine, which creates an individual conformal endplate that can be fixed to the vertebral surface. Additional research into other aspects of the prosthesis is ongoing.wolfram.com/r/7015/biomed

experience exchangeSubmit your nonproprietary journal or conference articles, papers, web links, or other Mathematica success stories to experience@wolfram.com. If we feature your work on our website, we’ll send you a Mathematica T-shirt.

wolfram.com/r/7015/experience

…In Manufacturing

Machine learning optimizes automated assembly lines

Increasingly, our most essential products—such as cars, electronics, and home and work furnishings—are made by automated processes. It is impossible to reset these complex systems without the right decision support or automated recovery. Determining this critical information calls for machine learning. The Mathematica application machine learning framework (MLF) by developer uni software plus is an innovative solution for customers in these situations. MLF enables machines to improve their own processes based on the analysis of past event data and other statistics, and helps to create models that are both understandable and computationally fast-paced.

MLF is an integral part of production systems for major manufacturers who rely on its data mining and modeling capabilities. AMS Engineering, a system provider for highly automated assembly lines that counts Bosch, Braun, and Moeller among its dedicated customers, also uses

MLF to improve their overall equipment efficiency and manufacturing processes. Mathematica and MLF are able to meet all of their needs, from creating and testing the right models offline to being deployed as part of the shop floor management system during production.wolfram.com/r/7015/manufacturing

…In Biomedical Engineering

Next-generation prosthetics designed in Mathematica

5

Mathematica bytesUsing Mathematica to Devise a Network of Key Legal Precedents

Seth Chandler, a professor of law at the University of Houston, is featured in The Economist for his innovative use of computer modeling to assess the importance of past United States Supreme Court decisions based on the frequency of their citations in subsequent cases. Chandler, a long-term Mathematica user, also presented a paper on this topic at the 2005 International Mathematica Symposium in Perth, Australia.

wolfram.com/r/7015/law

Financial Startup Venture Turns to Mathematica for Modeling

In a recent interview, billionaire Gordon Getty talks about his many interests and his ReFlow Management startup company. Getty tells BusinessWeek that when it came time to address the company’s financial modeling needs, “I asked around, and Mathematica was the most powerful program for this purpose.”

wolfram.com/r/7015/finance

Online Tutoring Services Anytime, Anywhere with webMathematica

A new 24/7 online tutoring service connects students with qualified eTutors in real time from the privacy of their dorm room, providing personalized help right when they need it the most. studyloft.com is powered by webMathematica, which allows tutors to compute and visualize results to students with 3D charts and graphs, at anytime and from anywhere.

wolfram.com/r/7015/education

Archaeological Breakthrough Made Possible by Mathematica

New Scientist reports that Mathematica helped lead to a breakthrough in the deciphering of Incan khipu, string bundles long thought to have been used for communication and administrative records. Researchers at Harvard University used Mathematicato analyze the knot patterns in hundreds of khipu and uncovered several mathematical similarities.

wolfram.com/r/7015/science

On the left, a traditional disc prosthesis. To the right, a computer-generated image of a customized conformal disc prosthesis created in Mathematica.

Shop floor view of production of furniture fittings. Inset: A laser-welding process in a freely programmable welding machine.

The Mathematica Edge One integrated system for entire workflow Support for industry standard DICOM and

STL formats More compact code than other languages

“ The power of Mathematica as a comprehensive platform is still underestimated. This hybrid system lets us easily program complex tasks, solve, and seamlessly link to other environments.”

tech tip

Creating Random Minimal Surfaces in Mathematica

6

“ An invaluable, lasting resource for aficionados

of Mathematica.” —SIAM Review

Explore hundreds of Mathematica applications to classic and current problems in science, computer science, and visualization with the definitive four-volume set of The Mathematica GuideBooks. The GuideBooks for Numerics, Symbolics, Programming, and Graphics take novice and expert users through all aspects of problem solving in Mathematica. Each volume is over 1000 pages and includes a DVD with notebooks from the entire series, so readers can conveniently work through all the examples directly in Mathematica.

wolfram.com/r/7015/guidebooks

The Mathematica GuideBooks Series

� ���������������������������

Much like a bubble formed from a thin film of soap, minimal surfaces arefigures that are as tightly constructed as possible. They have many practicalapplications to engineering, materials science, and nanotechnology. Thefollowing example, from Michael Trott’s The Mathematica GuideBook forNumerics, explores these surfaces in Mathematica.

For pairs of functions f H� L and gH� L, the surface parametrized by

8xHr, �L, yHr, �L, zHr, �L< �Re

ikjjjj‡

r0

r exp�i ��

9I1 � gH�L2M, iI1 � gH�L2M f H�L, 2 f H�L gH�L= d�y{zzzz

is a minimal surface.

If the functions f H�L and gH� L have branch cuts, the integrals haveto be calculated on the corresponding Riemann surface to avoiddiscontinuities. Here we will calculate some minimal surfaces numerically.Instead of using ����������, we will use ������� to integrate thefunctions under consideration. First, we will integrate radially outwardfrom r0 to rmax, and then we will integrate around circles from � � 0 to� � �max. We obtain the starting values for the integration along thecircles from the radial solution. The functions that might exhibit branchcuts are the ����� function with a rational second argument and the��� function. Their analytical continuation is easily done. The function��������������������� implements this.

�������

�����������������������������

�������

������������������������_���_�� ���_����_���j�_� j�_�� ����_����j_����=

�����������������������������j������j���������������� = ��� -���������� �� +�������������������� =�������������������������������y������ y������y������������ j������ �� x Ø�������� j���� ���� ��j Ø j�� �y����� ã��� y����� ==��� y����� ã���������� =�������������� �y�� y�� y��� ����������������j��_���=�������������������������������y���j�� y���j�� y���j������������� j���

��� �� x �������� j���� ������y��j�� ��������������������y��j�� ��������������������y��j�� ��������������������� ��

������ j���_ �������� j�������������� j�� ������� +�� j��

����j��_���=������������j���� �y�� y�� y����j� j�� j������������ �������

���� =���������� =�����y��j�� y��j�� y��j��� �������j���������

����������� �j� j�� j�� �j� - j�����j�������������� ��� -�����������

�����������������������������������������������������������������������������������������

�����������������������Ò�������� �ü������������������������������

���������������� �����������_�������������������������� �������

���������� Ø��������������� Ø �������������������� Ø ����� -�����������

For a better view of the resulting surface, we cut some holes in theindividual polygons.

�������

������������������_���������_���=����������� =�������� ��� � = ��� +��������Ò -������ �ü���������������������������Ò�����������Ò������������������������Ò��������Ò���������� �ü ��� �����������������Ò��������Ò���������

Here are some examples:

�������

������������������������� +���x������ -������� x �� +x����������� ����������� ���������� ���������

�������

�������������������������������������� + x����������� ���� +�� x���-� +���x����� ����������� ����������� ���������

For more examples from The Mathematica GuideBooks, visit:

Here are some examples:

�������

������������������������� +���x������ -������� x �� +x����������� ����������� ���������� ���������

�������

�������������������������������������� + x����������� ���� +�� x���-� +���x����� ����������� ����������� ���������

For more examples from The Mathematica GuideBooks, visit:

Here are some examples:

�������

������������������������� +���x������ -������� x �� +x����������� ����������� ���������� ���������

�������

�������������������������������������� + x����������� ���� +�� x���-� +���x����� ����������� ����������� ���������

For more examples from The Mathematica GuideBooks, visit:wolfram.com/r/7015/techtip

Scientific Visualization with Mathematica The new Scientific Visualization website showcases practical 2D and 3D graphics and animations made with Mathematica. In addition to being a home for these often artful images, it is a site for learning the basics of Mathematica visualization and applying those methods to any individual application. The examples highlight the breadth and benefits of Mathematica’s unified working environment. By tackling numerical and symbolic operations and providing a consistent language for generating visualizations, it is much easier to translate abstract scientific data into easy-to-understand images. Scientific Visualization explores an expanding range of topics from astronomy to geophysics and much more, providing greater insight into many sophisticated scientific problems. Several images have also been made interactive using LiveGraphics3D. Each graphic or animation is accompanied by its Mathematica notebook. Visitors can freely download them to learn how to create similar visualizations on their own.

wolfram.com/r/7015/visualization

2005 Wolfram Technology Conference ProceedingsA record number of attendees from over 20 countries attended the 2005 Wolfram Technology Conference to learn about the latest Mathematica developments. The intensive

three-day event offered nearly 100 presentations, classes, and workshops on Wolfram technologies and their applications. Notebook proceedings are now available online. The Technology Conference provided an outstanding forum for discussion and addressed a wide range of topics. Users and developers from around the world, of all levels and interests, networked with leaders in technical computing and other related fields.

wolfram.com/r/7015/wtc2005

Mathematica ShortcutsA printable reference sheet of all Mathematica 5.2 keyboard shortcuts for Windows, Macintosh, Linux, and Unix platforms can now be found on the Wolfram Research website. Available in PDF format, you’ll want to download this convenient resource and keep it in a handy location close to your computer.

wolfram.com/r/7015/shortcuts

new online

Basic Theory of Exploration Seismology [with Mathematica], by John K. Costain and Cahit Çoruhwolfram.com/r/7015/costain

Introduction to Programming with Mathematica, Third Edition, by Paul R. Wellin,

Richard J. Gaylord, and Samuel N. Kaminwolfram.com/r/7015/wellin

Graphics with Mathematica: Fractals, Julia Sets, Patterns and Natural Forms, by Chonat Getz and Janet Helmstedt

wolfram.com/r/7015/getz

Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods, by Jenny A. Baglivowolfram.com/r/7015/baglivo

Digital Image Processing 2Digital Image Processing 2 introduces over 60

new functions, options, and major modules for fast and powerful image processing on the desktop. The package integrates with Mathematica to automate custom analyses, run routine procedures, and develop new algorithms. wolfram.com/r/7015/dip

Geometrica05Geometrica05 extends Mathematica’s symbolic

engine to a wide range of geometrical analysis, exact drawing, and CAD applications.wolfram.com/r/7015/geometrica

Global Optimization 5.1Global Optimization is now five times faster and

can solve nonlinear functions with over 10,000 variables.wolfram.com/r/7015/global

LinkageDesignerNEW

LinkageDesigner is a time-saving engineering solution for analyzing, synthesizing, and simulating linkages with serial chain, tree, and graph structures. It simplifies the machine design process, allowing engineers to perform more extensive analysis than possible with other software.wolfram.com/r/7015/linkage

machine learning framework 1.3machine learning framework 1.3 introduces a

range of new functions for real-life data-mining projects.wolfram.com/r/7015/mlf

MathGL3dNEW

MathGL3d is a new application for advanced scientific visualization that allows real-time interaction with Mathematica graphics. wolfram.com/r/7015/mathgl

MechanicalSystems 2MechanicalSystems 2 speeds up prototyping and

simulation tasks for complex models of rigid body systems. Over 40 2D and 3D geometric constraints enable users to instantly visualize design changes. New documentation fully integrates into the Mathematica Help Browser.wolfram.com/r/7015/mechsys

PathwayLab Research EditionNEW

PathwayLab Research Edition is a new in silico systems biology application for modeling and analyzing biochemical pathways and networks. The package helps scientists predict disease pathways and make better-informed decisions regarding the causes of medical disorders. It accelerates drug discovery by leveraging the capabilities of Mathematica to reduce or eliminate the need for physical experiments. wolfram.com/r/7015/pathway

UnRisk PRICING ENGINE 2.2Version 2.2 adds functionality for financial

derivatives analysis and significantly boosts speed without sacrificing precision.wolfram.com/r/7015/unrisk

application updates

7

Introducing the Wolfram Partnerships GroupThe Wolfram Partnerships Group is teaming up with individual and corporate developers to bring innovative software solutions to Mathematica users, assisting with the resources needed to see your ideas be realized with the best possible results. If you are a system or application developer interested in working with Wolfram Research, please contact partnerships@wolfram.com.

corporate developments

Wolfram Research, Inc. 100 Trade Center Drive, Champaign, IL 61820-7237, USA info@wolfram.com

Wolfram Research Europe Ltd. 10 Blenheim Office Park, Lower Road, Long Hanborough, Oxfordshire OX29 8RY, UNITED KINGDOM info@wolfram.co.uk

Wolfram Research Asia Ltd. Oak Ochanomizu Building 5F, 3-8 Kanda Ogawa-machi, Chiyoda-ku, Tokyo 101-0052, JAPAN info@wolfram.co.jp(Reseller support only.)

Contact Wolfram Research offices worldwide:wolfram.com/r/7015/contactus

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highlighted events

© 2006 Wolfram Research, Inc. Mathematica is a registered trademark of Wolfram Research, Inc. gridMathematica, MATHwire, webMathematica, and WolframTones are trademarks of Wolfram Research, Inc. A New Kind of Science is a trademark of Stephen Wolfram, LLC. All other trademarks are the property of their respective owners. Mathematica is not associated with Mathematica Policy Research, Inc. or MathTech, Inc. MKT7015 594577 1205.jas

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See a full listing of events on the Wolfram Research calendar at www.wolfram.com/news/events.

january 12–15, 2006Look for Wolfram Research at the 2006 Joint Mathematics Meetings in San Antonio, Texas.

wolfram.com/r/7015/jmm2006

march 13–17, 2006Wolfram Research will be exhibiting at the APS March Meeting 2006 in Baltimore, Maryland.

wolfram.com/r/7015/aps2006

june 16–18, 2006NKS 2006 in Washington, DC is the place to get involved with the ideas and methods of Stephen Wolfram’s A New Kind of Science.

wolfram.com/r/7015/nks2006

june 19–23, 2006Registration and abstract submissions are being accepted for the eighth International Mathematica Symposium in Avignon, France.

wolfram.com/r/7015/ims2006

january–may, 2006Start your year with Mathematica training. Wolfram Education Group has a new slate of classes scheduled from now through May 2006, providing

the highest-quality instruction in all areas of Mathematica. All courses are developed and taught by Mathematica experts and can be taken in a computer classroom, onsite at your institution, or online.

wolfram.com/r/7015/weg

webMathematica 2.3 transforms the development of dynamic web applications by capitalizing on the 64-bit and multicore performance of Mathematica 5.2. Already the ideal all-in-one environment for adding interactive computations to the web, webMathematica now takes advantage of more processing power across all major platforms. By increasing memory and CPU availability, webMathematica expands the size and scope of scientific problems that sites can reliably tackle—empowering educators, researchers, professionals, and enthusiasts to serve even more robust and innovative content online. Complementing its sheer power, webMathematica 2.3 also adds new features that enhance the functionality of webMathematica sites. Major performance improvements speed up calculations across the board and the results can be visualized with enhanced charts and graphs. Headline news and syndicated blogs can be delivered to any page with automatic RSS import. Sites can also be made vCard-compatible, allowing users to upload data directly to a web database. “webMathematica has always been the one-stop solution for putting interesting science online,” said Tom Wickham-Jones, Director of Kernel Technology. “Now it’s much more. We’ve put the power of true 64-bit/multicore computing online so developers can build more powerful sites and users can experience the next wave of technical computing right through the web.”

wolfram.com/r/7015/webmathematica

Coming Soon… webMathematica 2.3

Bringing 64-bit and multicore computing to the web