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We introduce a convex optimization modeling framework that transforms a convex optimization problem expressed in a form natural and convenient for the user into an equivalent cone program in a way tha...
Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, general convex optimiza...
We introduce disciplined convex stochastic programming (DCSP), a modeling framework that can significantly lower the barrier for modelers to specify and solve convex stochastic optimization problems, ...
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into nature inspired optimiza...
We present a problem class of mixed-integer nonlinear programs (MINLPs) with nonconvex continuous relaxations which stem from economic test scenarios that are used in the analysis of human complex pro...
This is the second of three lectures prepared by the authors for the von Karman Institute that deal with the subject of aerodynamic shape optimization. In our first lecture we introduced some th...
This is the first of three lectures prepared by the authors for the von Karman Institute that deal with the subject of aerodynamic shape optimization. In this lecture we introduce some theoretic...
Aeronautics, and in particular aerodynamics, has been one of the main technological drivers for the development of computational fluid dynamics (CFD).
Deterministic engineering design often leads to unexpected or physically unrealizable results. This is due to the fact that deterministic design is not able to capture the effects of even slight natur...
In this paper we examine the low Reynolds number flow past a harmonically plunging,pitching, and deforming airfoil, both individually and in combination. The lift and thrust characteristics of t...
A model problem, based on the NACA0012 airfoil, is studied. The thickness distribution of the symmetric NACA0012 airfoil is optimally approximated with a 4th-order Bezier curve. This best-fit ap...
This paper addresses the aerodynamic performance of Busemann-type supersonic biplanes at both design and off design conditions. An adjoint-based optimization technique is used to optimize the aerodyna...
The reduced gradient evaluations provide major computa tional savings for unstructured grids and its accuracy and use for canonical and industrial problems is a major contribution of this study. The d...
In order to set the context for aerodynamic shape optimization, the airplane design process is summarized in the following paragraphs. It can generally be divided into three phases: conceptual design,...
INCE the adjoint method was introduced to aerodynamic shape optimization in 1980s [1,2], this method has become a popular choice for design problems involving fluid flow and has been succe...

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