The many variants of the Unix operating system require use of a mode of thought that s significantly different from the one that s required by simpler operating systems. Think Unix introduces readers to important fundamental and intermediate Unix commands and, in the process, inculcates them in the Unix way of thinking. It s a worthy goal in a world with more Linux users than ever, and author Jon Lasser accomplishes it. He s both a capable writer and a knowledgeable user of Unix shell commands. Lasser uses bash under Red Hat Linux in Most examples--which usually apply equally well to other Unix variants--and makes asides about other shells and environments, as needed.
標簽： significantly operating variants of
上傳時間： 2017-09-04
上傳用戶：qq521
When C++ was first introduced many benefits such as code reuse, portability and scalability were promised, but somehow these benefits failed to eventuate. It didn’t take too long before Most people in the embedded world decided that the promises were just hype, and settled down to using C++ as a slightly better version of C
標簽： portability scalability introduced benefits
上傳時間： 2013-12-24
上傳用戶：yt1993410
We (the Klimas family) are relative Linux newbies (with Linux since Summer 1998). We run RedHat Mostly -> the solutions might not be directly applicable to other Linux distributions (although Most of them probably will). Hope this helps, we try to be as practical as possible. Of course, we provide no warranty whatsoever!
標簽： Linux relative newbies Klimas
上傳時間： 2017-09-06
上傳用戶：gdgzhym
This book has existed (in one form or another) since the first edition of C# and the .NET Platform was published in conjunction with the release of .NET 1.0 Beta 2, circa the summer of 2001. Since that point, I have been extremely happy and grateful to see that this text was very well received by the press and, Most important, by readers. Over the years it was nominated as a Jolt Award finalist (I lost . . . crap!) and for the 2003 Referenceware Excellence Award in the programming book category
標簽： the Platform another existed
上傳時間： 2017-09-07
上傳用戶：youmo81
Description Scientific calculator. Allows to perform caclulation with high precicion and implements Most populatr mathematical functions: sin, cos, tan, asin, acon, atan, exp, log, sqr, floor and ceil. Also it make it possible to define your own function, store results in variables and use variable sin expressions. Calculator store al formuls you have entered. Plot function can be used to draw graph of function with single argument. More detailed description of calculator is here.
標簽： Description caclulation Scientific calculator
上傳時間： 2014-01-25
上傳用戶：familiarsmile
SQL Performance Tuning is a handbook of practical solutions for busy database professionals charged with managing an organization s critically important data. Covering today s Most popular and widely installed database environments, this book is an indispensable resource for managing and tuning SQL across multiple platforms.
標簽： professionals Performance practical solutions
上傳時間： 2013-12-20
上傳用戶：jjj0202
The Practical SQL Handbook begins with a step-by-step introduction to SQL basics and examines the issues involved in designing SQL-based database applications. It fully explores SQL s Most popular implementations from industry leaders, Oracle, Microsoft, Sybase, and Informix.
標簽： step-by-step introduction Practical SQL
上傳時間： 2014-01-21
上傳用戶：fhzm5658
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute Most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
Lithium–sulfur (Li–S) batteries with high energy density and long cycle life are considered to be one of the Most promising next-generation energy-storage systems beyond routine lithium-ion batteries. Various approaches have been proposed to break down technical barriers in Li–S battery systems. The use of nanostructured metal oxides and sulfides for high sulfur utilization and long life span of Li–S batteries is reviewed here. The relationships between the intrinsic properties of metal oxide/sulfide hosts and electrochemical performances of Li–S batteries are discussed. Nanostructured metal oxides/ sulfides hosts used in solid sulfur cathodes, separators/interlayers, lithium- metal-anode protection, and lithium polysulfides batteries are discussed respectively. Prospects for the future developments of Li–S batteries with nanostructured metal oxides/sulfides are also discussed.
上傳時間： 2017-11-23
上傳用戶：653357637
是否要先打開ALLEGRO? 不需要(當然你的機器須有CADENCE系統)。生成完封裝后在你的輸出目錄下就會有幾千個器件（全部生成的話）,默認輸出目錄為c:\MySym\. Level里面的Minimum, Nominal, Maximum 是什么意思？ 對應ipc7351A的ABC封裝嗎？ 是的 能否將Most, NOMINAL, LEAST三種有差別的封裝在命名上也體現出差別？ NOMINAL 的名稱最后沒有后綴，Most的后綴自動添加“Ｍ”，LEAST的后綴自動添加“L”，你看看生成的庫名稱就知道了。（直插件以及特別的器件，如BGA等是沒有Most和LEAST級別的，對這類器件只有NOMINAL） IC焊盤用長方形好像比用橢圓形的好，能不能生成長方形的？ 嗯。。。。基本上應該是非直角的焊盤比矩形的焊盤好，我記不得是AMD還是NS還是AD公司專門有篇文檔討論了這個問題，如果沒有記錯的話至少有以下好處：信號質量好、更省空間（特別是緊密設計中）、更省錫量。我過去有一篇帖子有一個倒角焊盤的SKILL，用于晶振電路和高速器件（如DDR的濾波電容)，原因是對寬度比較大的矩形用橢圓焊盤也不合適，這種情況下用自定義的矩形倒角焊盤就比較好了－－－你可以從網上另外一個DDR設計的例子中看到。 當然，我已經在程序中添加了一選擇項，對一些矩形焊盤可以選擇倒角方式. 剛才試了一下，感覺器件的命名的規范性不是太好，另好像不能生成器件的DEVICE文件，我沒RUN完。。。 這個程序的命名方法基本參照IPC-7351，每個人都有自己的命名嗜好，仍是不好統一的；我是比較懶的啦，所以就盡量靠近IPC-7351了。 至于DEVICE，的選項已經添加 (這就是批量程序的好處，代碼中加一行，重新生產的上千上萬個封裝就都有新東西了)。 你的庫都是"-"的,請問用過ALLEGRO的兄弟,你們的FOOTPRINT認"-"嗎?反正我的ALLEGRO只認"_"(下劃線) 用“－”應該沒有問題的，焊盤的命名我用的是"_"（這個一直沒改動過）。 部分絲印畫在焊盤上了。 絲印的問題我早已知道，只是盡量避免開（我有個可配置的SilkGap變量）,不過工作量比較大，有些已經改過，有些還沒有；另外我沒有特別費功夫在絲印上的另一個原因是，我通常最后用AUTO-SILK的來合并相關的層，這樣既方便快捷也統一各個器件的絲印間距，用AUTO-SILK的話絲印線會自動避開SOLDER-MASK的。 點擊allegro后命令行出現E- Can't change to directory: Files\FPM，什么原因？ 我想你一定是將FPM安裝在一個含空格的目錄里面了，比如C:\Program Files\等等之類，在自定義安裝目錄的時候該目錄名不能含有空格，且存放生成的封裝的目錄名也不能含有空格。你如果用默認安裝的話應該是不會有問題的, 默認FPM安裝在C:\FPM，默認存放封裝的目錄為C:\MYSYM 0.04版用spb15.51生成時.allegro會死機.以前版本的Allegro封裝生成器用spb15.51生成時沒有死機現象 我在生成MELF類封裝的時候有過一次死機現象，估計是文件操作錯誤導致ALLEGRO死機，原因是我沒有找到在ｓｋｉｌｌ里面直接生成SHAPE焊盤的方法（FLASH和常規焊盤沒問題）, 查了下資料也沒有找到解決方法，所以只得在外部調用SCRIPT來將就一下了。（下次我再查查看），用SCRIPT的話文件訪問比較頻繁（幸好目前MELF類的器件不多）. 解決辦法： １、對MELF類器件單獨選擇生成，其它的應該可以一次生成。 ２、試試最新的版本(當前0.05) 請說明運行在哪類器件的時候ALLEGRO出錯，如果不是在MELF附近的話，請告知，謝謝。 用FPM0.04生成的封裝好像文件都比較大，比如CAPC、RES等器件，都是300多K，而自己建的或采用PCB Libraries Eval生成的封裝一般才幾十K到100K左右，不知封裝是不是包含了更多的信息？ 我的每個封裝文件包含了幾個文字層（REF,VAL,TOL,DEV,PARTNUMBER等),SILK和ASSEM也是分開的，BOND層和高度信息，還有些定位線(在DISP層）,可能這些越來越豐富的信息加大了生成文件的尺寸.你如果想看有什么內容的話，打開所有層就看見了（或REPORT） 非常感謝 LiWenHui 發現的BUG, 已經找到原因，是下面這行： axlDBChangeDesignExtents( '((-1000 -1000) (1000 1000))) 有尺寸空間開得太大，后又沒有壓縮的原因，現在生成的封裝也只有幾十K了，0.05版已經修復這個BUG了。 Allegro封裝生成器0.04生成do-27封裝不正確,生成封裝的焊盤的位號為a,c.應該是A,B或者1,2才對. 呵呵，DIODE通常管腳名為AC(A = anode, C = cathode) 也有用AK 或 12的， 極少見AB。 除了DIODE和極個別插件以及BGA外，焊盤名字以數字為主, 下次我給DIODE一個選擇項，可以選擇AC 或 12 或 AK, 至于TRANSISTER我就不去區分BCE/CBE/ECB/EBC/GDS/GSD/DSG/DGS/SGD/SDG等了，這樣會沒完沒了的，我將對TRANSISTER強制統一以數字編號了，如果用家非要改變，只得在生成庫后手工修改。
標簽： Footprint Maker 0.08 FPM skill
上傳時間： 2018-01-10
上傳用戶：digitzing
