NOTE:
Both these answers will fix your problem. One’s just easier than the other.

I’m phrasing this in sort of a ridiculous way, but, seriously: Apple is definitely out. You might as well have ‘Graphic Designer’ or ‘N00b’ tattooed on your forehead. HP and Alienware are both viable options, although I’d hate to spend money on Windows –which is why I always assemble my own computers.

However, if I had to go for either HP or Alienware, it’d be the latter. The fact that Dr Sheldon Cooper has one is a contributing factor, but not the only one!

Over the past decade ‘network’ has become a buzz-word in many disciplines, including archaeology and history. Scholars in both disciplines have begun to explore the idea of complex networks in their efforts to understand social relationships in the past as well as technical relationships in their data, using methodologies drawn from complex network models devised by sociologists and physicists such as Duncan Watts and Albert-László Barabási. These recent developments in network analysis are based on a long tradition of work in many disciplines, including sociology, mathematics and physics, but with the increasing ubiquity of powerful computing technology across the academic spectrum, ‘network’ perspectives and methodologies are now becoming understood and used more broadly throughout the sciences and humanities.

The often large and complex datasets common in archaeology and history have stimulated the use of various techniques from network analysis as a tool for exploring these data, and such applications are already proving to be innovative and fruitful approaches to topics such as the transmission of ideas and technologies, the movements of people, objects and belief systems, interregional interactions and maritime connectivity. This growing interest is reflected in the increasing number of conferences on network analysis we have seen in these disciplines, including ‘Networks in the Greek World’ in Rethymnon, Crete (2006), ‘Communities and Networks in the Ancient Greek World’ held in Dublin (2009), a session at the Society for American Archaeology (2010), and a session at Computer Applications and Quantitative Methods in Archaeology (CAA) Beijing (2011).

These meetings have resulted in original archaeological and historical applications of network analysis published in collected volumes and journal papers, and clearly attest to its potential. However, the adoption of network techniques within archaeology and history remains surprisingly limited. Existing applications have not yet tapped into the full potential of a network perspective. The nature of historical and archaeological data as indirect and fundamentally fragmentary reflections of past dynamic processes certainly presents network analysts with a challenge, but one that promises to allow archaeologists and historians to make valuable contributions to the “new” science of networks, especially as regards the exploration of temporal change in networks over supra-generational and potentially evolutionary timeframes.

This conference will provide a platform for pioneering, multidisciplinary collaborative work in the field of network science. It aims to bring together the disparate international community of scholars working to develop network-based approaches and their application to the past and to provide a forum for the discussion of the most recent applications of the techniques, in order to ask what has been successful or unsuccessful, to foster cross-disciplinary collaborations and cooperation, and to stimulate debate about the application of network science within the disciplines of archaeology and history in particular, but also more broadly across the entire field.

Conference objectives:
■To provide a forum for the presentation and debate of multidisciplinary network-based research and debate the ramifications of applying network-based perspectives and methodologies to archaeological and historical data
■To establish a group of academics using network-based approaches to archaeology, history and allied disciplines
■To foster cross-disciplinary dialogue and collaborative work aimed at integrating analytical frameworks for understanding complex networks and their application to historical and archaeological problems.
■To stimulate debate about the theory and application of network analysis within archaeology and history and the relevance of this work for the continued development of network theory in other disciplines.

Plus, as a beginner, it’s frustrating writing stuff that only reads and writes stuff out to the console, isn’t it? With python, you’ll be learning how to make "real" programs with a GUI pretty early on with Tcl/Tk.

I know a lot of that sounded like jargon, but python is a really, really easy language to learn for total beginners. And it’s powerful enough that you’ll keep using it long after you’ve got ten languages under your belt. Here’s enough to get you started.

Start here. It’s even got a cartoon http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-189-a-gentle-introduction-to-programming-using-python-january-iap-2008/

You want to click "Lecture notes", then click the Session 1 notes pdf, it’ll walk you through step by step installing python and writing your first python program, then day by day go through the rest of the lecture series, and when you think you’re hot stuff give yourself the exams.

Then once you know your stuff, go here to make "real" programs,
http://python.about.com/od/advancedpython/ss/tkinter_intro_10.htm

Annnnnd once you realize how cool and powerful those console-based programs you started with really are, you can go here to get good with those,
http://docs.python.org/tutorial/introduction.html

That’s enough to go from rank beginner to expert in a couple weeks. Enjoy!

I saw a forum with this online, but I didn’t have time to read it all. Try checking it out. I want to help out more, but I’m not 100% sure about the answer. Sorry I’m not much help. I hope you found your answer! Good luck!

Since v2 = 0 then m2v2 = 0 and the velocity of v’1 = v’2 because they stuck together, the formula can be rewritten as:

m1v1 = v’(m1 + m2) to solve for v’ (post-collision velocity):

v’ = (m1v1)/(m1+m2)

In those equations all of your answers can be found.