Company Filing History:
Years Active: 1988
Title: The Innovations of David A Bayer
Introduction
David A Bayer is a notable inventor based in New York, NY, who has made significant contributions to the field of optimization systems. He holds one patent that showcases his innovative approach to enhancing operational parameters within various systems. Bayer's work is characterized by a method that employs iterative steps to achieve optimal states in system operations.
Latest Patents
Bayer's patent, titled "Method and apparatus for optimizing system operational parameters," outlines a unique approach to optimizing the operational state of a system. This method involves iterative steps that follow either a projective scaling trajectory or an affine scaling trajectory. The process computes transitions from the current state, denoted as x.sub.0, to a subsequent state, x.sub.1, aiming for an optimum state. The movement occurs in a transformed space, with the present state at the center, and the curve approximation is represented as a power series in the step size. The method generates a sequence of tentative states, halting when a suitable stopping criterion is met, ultimately designating the most recent tentative state as the optimized operating state.
Career Highlights
David A Bayer has had a distinguished career, working with prominent organizations such as American Telephone & Telegraph Co. and AT&T Bell Laboratories. His role in these companies has allowed him to apply his innovative ideas and contribute to advancements in technology and system optimization.
Collaborations
Bayer has collaborated with esteemed colleagues, including Narendra K Karmarkar and Jeffrey C Lagarias. These partnerships have fostered an environment of innovation and have led to significant advancements in their respective fields.
Conclusion
David A Bayer's contributions to the field of optimization systems through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way systems are optimized, showcasing the importance of iterative methods in achieving operational excellence.
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