Thursday, June 28th, 2012 at 10:00 am EDT

Many scientific and engineering applications have to obey tight performance tolerances. Initial designs are often sub-optimal, and to arrive at better operating conditions, manual iterative processes using, for example, calculators or spreadsheets, are applied. This can take many hours, or even days. Often the solution obtained through such processes is still far from adequate. Over the last few decades, software tools boasting advanced nonlinear systems modeling and optimization algorithms have become significantly simpler to use, and no longer require specialized knowledge; this has accelerated the productivity of technical professionals across all domains. With Maple, the world’s most advanced symbolic computation engine, you can take the result of over twenty-five years of continual investment in research and design to better model and optimize scientific and engineering designs in less time.

This webinar will demonstrate, through several applications and numerous case studies, how Maple is helping companies worldwide, including NASA, JPL, Toyota, Argiva, and Marquardt Gmbh, save time and reduce cost by providing more efficient and smarter methods for mathematical analysis. Within Maple, you can take advantage of some of the most advanced optimization techniques in the world. In addition, Maple provides thousands of functions for integral transforms, ODE, PDE, and DAE solving, linear algebra, statistics, finance, signal processing, and much more. Find out how Maple’s computational engine can help you tackle even your most complex mathematical problems.



Presenters:

Dr. Jürgen Gerhard, Director of Research, Maplesoft:
Dr. Gerhard is a software engineer with over 10+ years of experience. He is responsible for the development, maintenance, and documentation of various Maple packages, including ones for symbolic series and limit computations, symbolic summation, computations with algebraic numbers and algebraic functions, and parametric polynomial system solving. Additionally, he is responsible for research collaborations between Maplesoft and universities and research institutes world-wide, including Canada, USA, France, and Germany. In recent years, he has headed various research projects at Maplesoft in the areas of dynamical system modeling, simulation, analysis, and simplification as well as control design.