特别容易碎 发表于 2025-3-27 00:24:52

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羊栏 发表于 2025-3-27 02:32:22

Solving Computationally Expensive Engineering Problems978-3-319-08985-0Series ISSN 2194-1009 Series E-ISSN 2194-1017

inclusive 发表于 2025-3-27 08:57:10

Surrogate-Based and One-Shot Optimization Methods for PDE-Constrained Problems with an Application e research, namely a parameter optimization problem for a marine ecosystem model. Therein, a periodic state is obtained via a slowly convergent fixed-point type iteration. We recall the algorithm that results from a direct or black-box optimization of such kind of problems, and discuss ways to obtai

Fulsome 发表于 2025-3-27 13:26:23

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FLASK 发表于 2025-3-27 16:26:42

Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhlity. Our approach exploits nested space mapping (NSM) technology, which is dedicated to expedite simulation-driven design optimization of computationally demanding microwave structures with complex topologies. The enhanced functionality of the developed circuits is achieved by means of slow-wave re

Mere仅仅 发表于 2025-3-27 19:30:52

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Robust 发表于 2025-3-27 22:31:05

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LUT 发表于 2025-3-28 03:43:54

Numerically Efficient Approach to Simulation-Driven Design of Planar Microstrip Antenna Arrays By Mization (SBO) paradigm and variable-fidelity electromagnetic (EM) simulations. The design process includes radiation pattern optimization and matching. Two low-fidelity models are utilized: a coarse-mesh EM model of the entire array and a model of the array based on the array factor combined with th

Breach 发表于 2025-3-28 06:49:15

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Armada 发表于 2025-3-28 12:41:11

Atomistic Surrogate-Based Optimization for Simulation-Driven Design of Computationally Expensive Mi method introduced in this chapter is suitable for a wide class of N-port unconventional microwave circuits constructed as a deviation from classic design solutions. Conventional electromagnetic (EM) simulation-driven design routines are generally prohibitive when applied to numerically demanding mi
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查看完整版本: Titlebook: Solving Computationally Expensive Engineering Problems; Methods and Applicat Slawomir Koziel,Leifur Leifsson,Xin-She Yang Conference procee