Organized and interesting compilation of papers. Workshop held in Hampton, Virginia, March 1995. Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of which is determined by interacting subsystems. The MDO methodology is applicable not only to design in general, but also to parameter identification and control problems. It attempts to make the life cycle of a product and the design process less expensive and more reliable. MDO eases the process of design and improves system performance by ensuring that the latest advances in each of the contributing disciplines are used to the fullest, taking advantage of the interactions between the subsystems. Although the potential of MDO for improving the design process and reducing the manufacturing cost of complex systems is widely recognized by the engineering community, the extent of practical application of the methodology is not as great as it should be, due to the shortage of easily applicable MDO tools. Thus the exchange of expertise is crucial for the implementation of this exciting and promising methodology. This volume includes papers written by both scientists and engineers who participated in the ICASE/LaRC Workshop. They assess the state-of-the-art developments in MDO, identify practical and theoretical needs and opportunities, and investigate present and future research directions. Also included are applications, MDO formulations and methods, optimization methods, and large-scale simulations into the MDO framework. This volume will be of interest to scientists and engineers interested in MDO methodology, applications, optimization methods, and incorporation of large-scale simulations into the MDO framework. In addition to specific disciplines such as aerodynamics, structures, and controls, MDO comprises such technologies and research areas as design-oriented analysis, mathematical modeling, problem decomposition, optimization, and approximation of concepts. Calculus and some differential equations are needed for superficial understanding, while a good knowledge of applied mathematics, optimization, and engineering issues are required for deeper understanding.