Information Linkage between Applied Mathematics and Industry

Peter Wang

డిసెం 2012 · Elsevier

ఈ ఇ-పుస్తకం గురించి

Information Linkage Between Applied Mathematics and Industry is a collection of papers dealing with mathematics in engineering context and applications. One paper describes Chernoff faces as a technique of representing multidimensional data and compares the technique with Andrews' sine curves and Anderson's metroglyphys. Another paper investigates practical problems that can arise during implementation of the methods of parameter optimization, using as an example the trajectory of the space shuttle from liftoff to insertion into orbit. One paper analyzes Soviet foreign policy using a graphical representation of k-dimensional data as a statistical tool, written specifically for analysts in foreign policy and international relations. During the period 1964-1975, Soviet foreign policy is active in 25 Sub-Saharan African countries. Another paper discusses ballistics modeling in real time and recommends that investigators be familiar with the computer language to be used, the type of system to be applied, the type of weapon to be modeled, the accuracy required, and other existing ballistic programs. Other papers discuss probabilistic dynamic programming for fault isolation and applied mathematics, as well as engineering in the transport of Antarctic ice resources. The collection can prove valuable to mathematicians, engineers, or designers of industrial processes, computers, aviation, and space technology.

రచయిత పరిచయం

Peter Wang is a research staff scientist in the Manufacturing Systems Design Group at Oak Ridge National Laboratory (ORNL). Prior to working at ORNL, he worked in aerospace and underground construction industries for 12 years. His previous work experience has covered mechanical and civil structural design, heavy machine design, project management and construction site automation. He obtained his PhD in 2018 from the University of California, Irvine with a focus in robot kinematics. His current research interests cover robotics, manufacturing systems development, automation, additive manufacturing, and the circular economy.