ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...
Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...
Rapid urbanization and economic development have inevitably led to light pollution. However, currently the world has not yet formed a unified technical standard for light pollution, and light ...
Outgoing postdoctoral fellows and PhD alumni from the Northwestern CS Theory Group have secured positions in academia and industry to continue pursuing research and mentorship goals during the next ...
Abstract: A graph-structured nonlinear program (NLP) is a nonlinear optimization problem whose algebraic structure is induced by a graph. These problems arise in diverse applications such as dynamic ...
Algorithms and Data Structure are two of the most fundamentals and important topics from Computer Science which is used everywhere in software development. Algorithms and Data Structure are two of the ...
ABSTRACT: We present a new derivative-free optimization algorithm based on the sparse grid numerical integration. The algorithm applies to a smooth nonlinear objective function where calculating its ...
Abstract: In this paper, an optimal control scheme for a class of non-affine nonlinear systems with time-delays in state and control variables is developed using a new iterative adaptive dynamic ...
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