For technologically mature industries or those with high barriers to change, innovation is a challenge. One low risk, low cost innovation path is to radically improve performance while minimizing change to existing infrastructure. In his presentation at the 2013 SIAM Annual Meeting and Conference on Control and Its Applications, Nazareth Bedrossian of Halliburton used a historical perspective on spacecraft optimal control to show how scientific computation can act as the enabler for next generation innovation. Real world examples were presented where radical leaps in performance without altering spacecraft hardware or software has been achieved.
In this video from the 2013 SIAM Annual Meeting, Alejandro Jofré of Universidad de Chile considers a wholesale electricity market model with generators interacting strategically and general networks including externalities such as transmission losses. Previous work shows how mechanisms such as the case when prices correspond to the Lagrange multipliers of a centralized cost minimization program allow the producers to charge significantly more than marginal price. This situation originates an important regulatory problem. In this presentation we consider an incomplete information setting where the cost structure of a producer is unknown to both its competitor and the regulator. We derive an optimal regulation mechanism and compare its performance to the “price equal to Lagrange multiplier”. Watch the video:
Jamming phenomena are seen in various transportation system including cars, buses, pedestrians, ants and molecular motors, which are considered as “self-driven particles”. This interdisciplinary research on jamming of self-driven particles has been recently termed “jamology”. This is based on mathematical physics and includes engineering applications as well. In his talk at the 2013 SIAM Annual Meeting, Katsuhiro Nishinari of the University of Tokyo traced the background of this research: simple mathematical models, such as the asymmetric simple exclusion process and the Burgers equation, were introduced as the basis of all kinds of traffic flow. This was then extended in order to account for various traffic phenomena, and the comparison between theory and experiment was given to show that the models are able to capture fundamental features of observations. Watch the video!
Species are currently becoming extinct at least 100 times the background rate. The resources available to save biodiversity are inadequate. Consequently we need to optimise the return on investment from conservation decisions. In this talk at the 2013 SIAM Annual Meeting, Hugh Possingham of the University of Queensland showed how optimization tools are being used to solve conservation problems such as reserve system design, and allocating funds to threatened species management. Watch the video!
Philadelphia, PA—Engineering has always taken cues from biology. Natural organisms and systems have done well at evolving to perform tasks and achieve objectives within the limits set by nature and physics.
That is one of the reasons Anette Hosoi, professor of mechanical engineering at the Massachusetts Institute of Technology, studies snails. Snails can move in any direction—horizontally, vertically, and upside down—on various surfaces, be it sand, shells, tree barks or slick walls and smooth glass. One of the reasons for this is the sticky substance on their underbellies, which acts as a powerful lubricant and reduces friction during movement. Read the rest of this entry »
Scientists are increasing using social media, as well as blogging and microblogging platforms to form new contacts and collaborations, share ideas, gain insights, communicate research, generate discussion, and inspire future scientists and engineers. See how these professional applied mathematicians and computational scientists are using blogging and microblogging tools professionally.
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At the SIAM Conference on Computational Science and Engineering held in Boston in February 2013, professional mathematicians from various fields discussed the significance of big data and the importance of mathematical modeling to make sense of and interpret all that data in various fields from social networks and epidemiology to climatology. Watch a brief video with highlights!
At the SIAM Conference on Computational Science and Engineering held in Boston in February, mathematicians from academia, industry and government labs discussed and answered questions about the various career options students and those in their early careers could pursue in the fields of computational science and engineering. Watch video highlights!
Presentations of select sessions from the SIAM Conference on Mathematical Aspects of Material Science (MS13) are now available on SIAM Presents…Featured Lectures from Our Archives.
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