題目：古典問題：有一對兔子，從出生后第3個月起每個月都生一對兔子，小兔子長到第三個月后每個月又生一對兔子，假如兔子都不死，問每個月的兔子總數(shù)為多少？ //這是一個菲波拉契數(shù)列問題 public class lianxi01 { public static void main(String[] args) { System.out.println("第1個月的兔子對數(shù): 1"); System.out.println("第2個月的兔子對數(shù): 1"); int f1 = 1, f2 = 1, f, M=24; for(int i=3; i<=M; i++) { f = f2; f2 = f1 + f2; f1 = f; System.out.println("第" + i +"個月的兔子對數(shù): "+f2); } } } 【程序2】 題目：判斷101-200之間有多少個素數(shù)，并輸出所有素數(shù)。 程序分析：判斷素數(shù)的方法：用一個數(shù)分別去除2到sqrt(這個數(shù))，如果能被整除， 則表明此數(shù)不是素數(shù)，反之是素數(shù)。 public class lianxi02 { public static void main(String[] args) { int count = 0; for(int i=101; i<200; i+=2) { boolean b = false; for(int j=2; j<=Math.sqrt(i); j++) { if(i % j == 0) { b = false; break; } else { b = TRUE; } } if(b == TRUE) {count ++;System.out.println(i );} } System.out.println( "素數(shù)個數(shù)是: " + count); } } 【程序3】 題目：打印出所有的 "水仙花數(shù) "，所謂 "水仙花數(shù) "是指一個三位數(shù)，其各位數(shù)字立方和等于該數(shù)本身。例如：153是一個 "水仙花數(shù) "，因為153=1的三次方＋5的三次方＋3的三次方。 public class lianxi03 { public static void main(String[] args) { int b1, b2, b3;
上傳時間： 2017-12-24
上傳用戶：Ariza
Introduction jSMPP is a java implementation (SMPP API) of the SMPP protocol (currently supports SMPP v3.4). It provides interfaces to communicate with a Message Center or an ESME (External Short Message Entity) and is able to handle traffic of 3000-5000 messages per second. jSMPP is not a high-level library. People looking for a quick way to get started with SMPP may be better of using an abstraction layer such as the Apache Camel SMPP component: http://camel.apache.org/smpp.html Travis-CI status: History The project started on Google Code: http://code.google.com/p/jsmpp/ It was maintained by uudashr on Github until 2013. It is now a community project maintained at http://jsmpp.org Release procedure mvn deploy -DperformRelease=TRUE -Durl=https://oss.sonatype.org/service/local/staging/deploy/maven2/ -DrepositoryId=sonatype-nexus-staging -Dgpg.passphrase=<yourpassphrase> log in here: https://oss.sonatype.org click the 'Staging Repositories' link select the repository and click close select the repository and click release License Copyright (C) 2007-2013, Nuruddin Ashr uudashr@gmail.com Copyright (C) 2012-2013, Denis Kostousov denis.kostousov@gmail.com Copyright (C) 2014, Daniel Pocock http://danielpocock.com Copyright (C) 2016, Pim Moerenhout pim.moerenhout@gmail.com This project is licensed under the Apache Software License 2.0.
上傳時間： 2019-01-25
上傳用戶：dragon_longer
在包 hugeinteger 中創(chuàng)建功能類 HugeInteger，該類用來存放和操作一個不超過 40 位的大整數(shù)。 (1) 定義一個構(gòu)造函數(shù)，用來對大整數(shù)進行初始化。參數(shù)為一個字符串。 (2) 定義 input 成員函數(shù)，實現(xiàn)大整數(shù)的重新賦值。參數(shù)為一個字符串，無返回 值。 (3) 定義 output 成員函數(shù)，將大整數(shù)輸出到屏幕上。無參數(shù)無返回值。 (4) 定義 add 成員函數(shù)，實現(xiàn)兩個大整數(shù)的加法。參數(shù)為一個 HugeInteger 對 象，無返回值，例如： HugeInteger A = new HugeInteger("12345"); HugeInteger B = new HugeInteger("1234"); A.add(B); 此時，A 為 13579，B 為 1234。 (5) 定義 sub 成員函數(shù)，實現(xiàn)兩個大整數(shù)的減法。參數(shù)和返回值同 add 函數(shù)。 (6) 定義若干大整數(shù)關(guān)系運算的成員函數(shù)，包括 isEqualTo（等于，=）、 isNotEqualTo（不等于，≠）、isGreaterThan（大于，>）、isLessThan（小 于，<）、isGreaterThanOrEqualTo（大于等于，≥）和 isLessThanOrEqualTo （小于等于，≤）。這些函數(shù)的參數(shù)為一個 HugeInteger 對象，返回值為一個 布爾類型，表示關(guān)系運算的結(jié)果，例如： HugeInteger A = new HugeInteger("12345"); HugeInteger B = new HugeInteger("1234"); 那么此時 A.isGreaterThan(B)的結(jié)果應(yīng)當(dāng)為 TRUE，表示 12345>1234。
上傳時間： 2019-06-01
上傳用戶：idealist
High-Speed, Low-Power Dual Operational Amplifier The AD826 features high output current drive capability of 50 mA min per amp, and is able to drive unlimited capacitive loads. With a low power supply current of 15 mA max for both amplifiers, the AD826 is a TRUE general purpose operational amplifier. The AD826 is ideal for power sensitive applications such as video cameras and portable instrumentation. The AD826 can operate from a single +5 V supply, while still achieving 25 MHz of band width. Furthermore the AD826 is fully specified from a single +5 V to ±15 V power supplies. The AD826 excels as an ADC/DAC buffer or active filter in data acquisition systems and achieves a settling time of 70 ns to 0.01%, with a low input offset voltage of 2 mV max. The AD826 is available in small 8-lead plastic mini-DIP and SO packages.
上傳時間： 2020-04-19
上傳用戶：su1254
Cooperation is not a natural characteristic attributed to humans. The typical human horizon is focused on short-term gains, which might be due to our instinct-driven subconscious occupying a grander importance than we dare to admit [1]. Cooperating with other individuals or entities, however, usually means that short-term losses may translate into long-term gains – something history has proved to hold TRUE but humans for some reason rarely ever understand.
標(biāo)簽： Communications Cooperative
上傳時間： 2020-05-27
上傳用戶：shancjb
Our original effort in writing this book was to create a starting point for those in the business community who did not have a high level of technical expertise but needed to have some understanding of the technical functions of their information and communication technologies (ICT) in a corporate environment. As was TRUE with the first edition of this book, if you are already an engineer, find some other form of pleasure reading—this text is not designed for you!
標(biāo)簽： Communications Introduction Technologies to
上傳時間： 2020-05-27
上傳用戶：shancjb
It has been said that the move from narrowband to broadband access is the second revolution for the Internet — ‘broadband is more bandwidth than you can use’. Once users have experienced broadband access there is no turning back. A whole new world of applications and services becomes possible. No longer is it the ‘world- wide wait’. The speed of response and visual quality enabled by broadband finally allows the Internet to reach its TRUE potential.
上傳時間： 2020-06-06
上傳用戶：shancjb
This is a practical book, to be sure, but it is also a book about hope and posi- tive change. I am quite sincere. The delivery of electricity is deeply rooted in the principle of universal access; when clean, reliable energy is available it contributes to poverty alleviation, improved social conditions, and enhanced economic development. In the developed world, we know this to be TRUE. The digital fabric of our lives is a testimony to the importance of energy security. Across the globe, we have seen the vital contributions that electrification has brought to the development of economies and an enhanced quality of life. Nonetheless, this supreme engineering achievement has languished, and we are deeply challenged.
標(biāo)簽： Strategies Analytics Data Big
上傳時間： 2020-06-07
上傳用戶：shancjb
December 2007, San Jose, California: It seems a long time ago. I walked into a big networking company to head their small Power over Ethernet (PoE) applications team. Surprisingly, I hardly knew anything about PoE prior to that day, having been a switching-power conversion engineer almost all my life. But it seemed a great opportunity to widen my horizons. As you can see, one notable outcome of that seemingly illogical career choice five years ago is the book you hold in your hands today. I hope this small body of work goes on to prove worthy of your expectations and also of all the effort that went into it. Because, behind the scenes, there is a rather interesting story to relate—about its backdrop, intertwined with a small slice of modern PoE history, punctuated by a rather res- tive search for our roots and our TRUE heroes, one that takes us back almost two centuries
上傳時間： 2020-06-07
上傳用戶：shancjb
The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly TRUE in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.
標(biāo)簽： Auto-Machine-Learning-Methods-Sys tems-Challenges
上傳時間： 2020-06-10
上傳用戶：shancjb
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