Engineering (engineering design, digital design)

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214 results — page 7 of 11

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Projected Krylov methods are full-space formulations of Krylov methods that take place in a nullspace. Provided projections into the nullspace can be compute...

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The Mesh Adaptive Direct Search algorithm (MADS) algorithm is designed for nonsmooth blackbox optimization problems in which the evaluation of the funct...

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Interior-point methods feature prominently among numerical methods for inequality-constrained optimization problems, and involve the need to solve a sequ...

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Blackbox optimization typically arises when the functions defining the objective and constraints of an optimization problem are computed through a computer...

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The Mesh Adaptive Direct Search (MADS) class of algorithms is designed for nonsmooth optimization, where the objective function and constraints are typical...

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This paper presents a framework to determine optimal maintenance planning of a fleet of complex and independent systems. They are made up of several major co...

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Interior-point methods in semi-definite programming (SDP) require the solution of a sequence of linear systems which are used to derive the search directions...

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OPAL is a general-purpose system for modeling and solving algorithm optimization problems. OPAL takes an algorithm as input, and as output it suggests para...

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Implementations of the Simplex method differ only in very specific aspects such as the pivot rule. Similarly, most relaxation methods for mixed-integer ...

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The analytic center cutting plane method and its proximal variant are well known techniques for solving convex programming problems. We propose two seq...

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We consider a class of infeasible, path-following methods for convex quadratric programming. Our methods are designed to be effective for solving both nonde...

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In this article we address the model order reduction problem for resistor networks by using methods from graph theory. We formulate this problem through gr...

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We propose an interior-point algorithm based on an elastic formulation of the \(\ell_1\)-penalty merit function for mathematical programs with complementar...

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Interior-point methods in augmented form for linear and convex quadratic programming require the solution of a sequence of symmetric indefinite linear ...

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Parameterizing source code for architecture-bound optimization is a common approach to high-performance programming but one that makes the programmer's task ...

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Accurate measurements of snow water equivalent (SWE) is an important factor in managing water resources for hydroelectric power generation. SWE over a catchm...

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We propose a modified primal-dual interior-point method for nonlinear programming that relaxes the requirement of closely following the central path and lend...

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During alloy and process design, it is often desired to identify regions of design or process variables for which certain calculated functions have optimal v...

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The present paper describes the coupling of the Mesh Adaptive Direct Search (MADS) algorithm with the FactSage thermochemical software, which allows to calcu...

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The paper proposes a framework for sensitivity analyses of blackbox constrained optimization problems for which Lagrange multipliers are not available. Two s...

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