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"Traditional mathematics often plays a vital role in the solution of industrial problems. This volume describes industrial problems presented at a graduate-level modeling workshop designed to improve the graduate students' vision about the type of mathematics and science they should pursue whether they aspire to academic or nonacademic postgraduate careers. The problems represent a broad spectrum of mathematical topics and applications including statistics, signal processing, fluid dynamics, ODE, and PDE, optimization, and numerical analysis. This volume can be used as a reference for mathematical modeling, signal processing, PDE, and applied control courses. Industry representatives presented the following topics for graduate students to investigate during the ten-day workshop: Curvature Modeling in THUNDER Actuators; Maximizing Deflection While Minimizing Power Consumption in a Piezoelectric Actuator Design; Mathematical Modeling of High Power Amplifier (HPA) and HPA Linearization Through a Predistorter; Time Dependent Consolidation of Fine Powders; High Precision, High Accuracy Control of Fluid Microdispenser Under Variable Load; and Mass Transport and Surface Reaction of Immunoassay."

"The papers were elicited primarily from Mathematics for Industry: Challenges and Frontiers, a conference sponsored by SIAM in October, 2003. This conference was different from other SIAM conferences in that it was a forum for scientific experts from industry and government to meet with members of the mathematical community to discuss the visions they had for their industries and the obstacles they saw to reaching those goals.A distinctive feature of this work is its organization. The three sections: Industrial Problems; Mathematical Responses to Industrial Problems; and The Process of Mathematical Modeling, Practice, and Education offer a process view, always initiated by a practical problem, leading to the need for responsive mathematics both at the research and educational levels. All topics are tightly integrated with contemporary computing technology. Mathematical topics include splines, modeling, computational fluid dynamics, statistical model verification, and mathematics for design and simulation."