找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Optimization Methods; From Theory to Desi Marco Cavazzuti Book 2013 Springer-Verlag Berlin Heidelberg 2013 Convection Optimization.Design

[復制鏈接]
樓主: Scuttle
11#
發(fā)表于 2025-3-23 10:43:52 | 只看該作者
12#
發(fā)表于 2025-3-23 17:44:36 | 只看該作者
13#
發(fā)表于 2025-3-23 21:45:26 | 只看該作者
14#
發(fā)表于 2025-3-24 01:58:43 | 只看該作者
A Forced Convection Application: Surface Optimization for Enhanced Heat Transferhapter. The examples proposed are dealing with thermodynamics and fluid-dynamics problems due to the author background. It must be reminded, however, that optimization is an inherently interdisciplinary and multidisciplinary topic and the discussion which is made in these chapters is still valid for
15#
發(fā)表于 2025-3-24 04:04:48 | 只看該作者
A Natural Convection Application: Optimization of Rib Roughened Chimneysmneys. Following the same scheme of the previous chapter the problem is presented and the set-up of the optimization process discussed focusing on the methodology aspects. A rather large seven-steps approach to optimization is proposed mainly for educational purpose. The optimization process include
16#
發(fā)表于 2025-3-24 09:22:53 | 只看該作者
An Analytical Application: Optimization of a Stirling Engine Based on the Schmidt Analysis and on thntity of air or other gas (called the working or operating fluid) at different temperatures. Stirling engines were invented by Robert and James Stirling in 1818. Despite their high efficiency and quiet operation they have not imposed themselves over the Diesel and Otto engines. In recent years inter
17#
發(fā)表于 2025-3-24 11:10:40 | 只看該作者
18#
發(fā)表于 2025-3-24 16:14:36 | 只看該作者
Book 2013timization is presented as being composed of five topics, namely: design of experiment, response surface modeling, deterministic optimization, stochastic optimization, and robust engineering design. Each chapter, after presenting the main techniques for each part, draws application oriented conclusi
19#
發(fā)表于 2025-3-24 21:28:41 | 只看該作者
Stochastic Optimizationapproaches to optimization. Several algorithms for stochastic optimization are presented such as particle swarm optimization, game theory optimization, evolutionary and genetic algorithms. Some guidelines on how to choose the most suitable stochastic optimization algorithm depending on the problem to be addressed are given in the end.
20#
發(fā)表于 2025-3-24 23:46:06 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 19:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
嘉义县| 公安县| 宜宾县| 永胜县| 鄯善县| 马关县| 永康市| 年辖:市辖区| 芦山县| 永州市| 伊春市| 汾西县| 武胜县| 巴楚县| 永德县| 清徐县| 深水埗区| 独山县| 虎林市| 加查县| 古交市| 巨野县| 安康市| 西华县| 丘北县| 南汇区| 汉源县| 广东省| 巩留县| 济宁市| 额敏县| 囊谦县| 望奎县| 恭城| 扬州市| 大邑县| 元氏县| 石台县| 广东省| 垦利县| 钟山县|