雖然這篇Navier equation鄉民發文沒有被收入到精華區:在Navier equation這個話題中,我們另外找到其它相關的精選爆讚文章
在 navier產品中有3篇Facebook貼文,粉絲數超過3萬的網紅新‧二七部隊 軍事雜談,也在其Facebook貼文中提到, 法國商業太空公司「Venture」開發兩款液態火箭,「和風」(Zephyr)兩節輕型運載火箭,「北方」(Boreal)亞軌道探空火箭 「和風」火箭,高度15公尺,直徑1.2公尺,載荷低軌道(LEO)衛星80公斤、太陽軌道(SSO)70公斤,體積約0.4立方公尺,兩節火箭引擎為3D列印的Navier...
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「navier」的推薦目錄
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- 關於navier 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
- 關於navier 在 Soundtiss ST Youtube 的最佳解答
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navier 在 Yvonne萱萱兒 ♡ Instagram 的最佳解答
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navier 在 HannahEd Scholarship Instagram 的精選貼文
2021-05-29 20:42:46
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navier 在 Soundtiss ST Youtube 的最佳解答
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navier 在 新‧二七部隊 軍事雜談 Facebook 的精選貼文
法國商業太空公司「Venture」開發兩款液態火箭,「和風」(Zephyr)兩節輕型運載火箭,「北方」(Boreal)亞軌道探空火箭
「和風」火箭,高度15公尺,直徑1.2公尺,載荷低軌道(LEO)衛星80公斤、太陽軌道(SSO)70公斤,體積約0.4立方公尺,兩節火箭引擎為3D列印的Navier系列引擎,第一節6具,第二節一具
官網
https://venture-orbital.com
navier 在 Scholarship for Vietnamese students Facebook 的最讚貼文
17 PHƯƠNG TRÌNH THAY ĐỔI CẢ THẾ GIỚI
Máy bay, xe hơi, tàu vũ trụ, điện thoại, máy tính, các tiến bộ y học và những quyết định kinh tế, tất cả đã tạo nên thế giới mà chúng ta đang sống. Nhà khoa học, tác giả Ian Stewart kể, viết, giới thiệu về 17 phương trình, 17 câu chuyện về quá trình hình thành và phát triển của thế giới công nghệ, máy móc, thông tin liên lạc, cũng là 17 câu chuyện về những con người với những thăng trầm trong cuộc sống. Đây là một trong những cuốn sách trong chương trình "Cánh cửa mở rộng" do GS Ngô Bảo Châu đề xướng (FYI: những cuốn sách trong tủ sách nay rất hữu ích, mọi người có thể tham khảo thêm nhé). Nhưng 17 phương trình ấy là gì, hôm nay chị xin phép share lại để mọi người cùng quan tâm nhé.
1. Định lý Pytago
2. Logarit
3. Vi tích phân
4. Định luật vạn vật hấp dẫn
5. Căn bậc hai của -1
6. Đặc trưng Euler
7. Phân phối chuẩn
8. Phương trình sóng
9. Biến đổi Fourier
10. Hệ phương trình Navier-Stokes
11. Phương trình Maxwell
12. Định luật thứ hai của nhiệt động lực học
13. Sự tương đương của khối lượng và năng lượng
14. Phương trình Schorodinger
15. Lý thuyết thông tin
16. Lý thuyết hỗn loạn
17. Phương trình Black-Scholes
Nguồn ảnh: https://www.researchgate.net/publication/268248019_Seventeen_equations_that_changed_the_world
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navier 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
【Talk】Stochastic Simulation, Modeling & Optimization of Complex Systems via Parameterized Model Reduction
Welcome all to join it !!!
Time : 10:30am-12:00pm, April 29, 2014
Venue : ED528, Engineering Building 4, National Chiao Tung University
Prof. Luca Daniel
Massachusetts Institute of Technology
Abstract
Many complex systems developed by engineers (e.g. iPads, sensor body networks, power delivery networks, magnetic resonance imaging machines) or found in nature (e.g. the human cardiovascular system, or the geophysical oil/water/gas reservoir networks) can be viewed as large collections of interconnected dynamical system components The performance or characteristics of each individual component critically depend on what engineers or scientist refer to as “second order effects”, and can be captured only by resorting to accurate partial differential equation descriptions (e.g. Poisson, Maxwell, Navier-Stokes equations etc…). In addition, such components are often affected by random uncertainties in parameters and in geometries. In the first part of this talk I will illustrate how recent advances in computational techniques have made it possible to quantify efficiently and accurately the effect of second order effects and random uncertainties in individual system components. In the second part of this talk I will show how parameterized model order reduction techniques are beginning to enable the efficient simulation, design and optimization of “entire” complex networks of interconnected dynamical systems. Examples of complex systems analysis and optimization will be presented from the electrical engineering world including network of integrated circuit interconnect, RF inductors, micro-electro-mechanical sensors, low noise RF amplifiers, and power amplifiers, as well as city/state wide power distribution grids. At the end of the talk I will outline how the same stochastic field solver and parameterized compact dynamical modeling techniques used for designing complex electronic systems can be used to handle complex systems in other fields (e.g. to control undesired local heat deposition in human tissues by the RF power used in high resolution MRI machines, or to diagnose diseases of the human cardiovascular system, or to enable water/oil/gas reservoir exploration.)