java /t /n的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Offer來了：Java面試核心知識點精講（原理篇）

為了解決java /t /n的問題，作者王磊 這樣論述：

本書是對Java程式員面試必備知識點的總結，詳細講解了JVM原理、多執行緒、數據結構和演算法、分散式緩存、設計模式等面試必備知識點，在講解時不拖泥帶水，力求精簡。本書總計9章，第1章講解JVM原理，涉及JVM運行機制、JVM記憶體模型、常用垃圾回收演算法和JVM類載入機制等內容；第2章講解Java基礎知識，涉及集合、異常分類及處理、反射、注解、內部類、泛型和序列化等內容；第3章講解Java併發編程知識，涉及Java多執行緒的工作原理及應用、Java執行緒池的工作原理及應用，以及鎖、進程調度演算法等內容；第4章講解數據結構知識，涉及棧、佇列、鏈表、散列表、二叉樹、紅黑樹、圖和點陣圖等內容；第5章

講解Java中的常用演算法，涉及二分查找、冒泡排序、插入排序、快速排序、希爾排序、歸併排序、桶排序、基數排序等演算法；第6章講解網路與負載均衡原理，涉及TCP/IP、HTTP、常用負載均衡演算法和LVS原理等內容；第7章講解數據庫及分散式事務原理，涉及數據庫存儲引擎、數據庫併發操作和鎖、數據庫分散式事務等內容；第8章講解分散式緩存的原理及應用，涉及分散式緩存介紹、Ehcache原理及應用、Redis原理及應用、分散式緩存設計的核心問題等內容；第9章講解設計模式，涉及常見的23種經典設計模式。本書可作為Java程式員的技術面試參考用書，也可作為Java程式員、技術經理和架構師的日常技術參考用書。

王磊 現任國內某知名互聯網公司大數據技術架構師，有十餘年豐富的物聯網及大數據研發和技術架構經驗，對物聯網及大數據的原理和技術實現有深刻的理解。長期從事海外專案的研發和交付工作，對異地多活數據中心的建設及高可用、高併發系統的設計有豐富的實戰經驗。 第1章 JVM 1 1.1 JVM的運行機制 1 1.2 多執行緒 2 1.3 JVM的記憶體區域 3 1.3.1 程式計數器：執行緒私有，無記憶體溢出問題 4 1.3.2 虛擬機器棧：執行緒私有，描述Java方法的執行過程 4 1.3.3 本地方法區：執行緒私有 5 1.3.4 堆：也叫作運行時數據區，執行

緒共用 5 1.3.5 方法區：執行緒共用 5 1.4 JVM的運行時記憶體 6 1.4.1 新生代：Eden區、ServivorTo區和ServivorFrom區 7 1.4.2 老年代 8 1.4.3 第一代 8 1.5 垃圾回收與演算法 9 1.5.1 如何確定垃圾 9 1.5.2 Java中常用的垃圾回收演算法 10 1.6 Java中的4種參考類型 13 1.7 分代收集演算法和分區收集演算法 14 1.7.1 分代收集演算法 14 1.7.2 分區收集演算法 15 1.8 垃圾收集器 15 1.8.1 Serial垃圾收集器：單執行緒，複製演算法 16 1.8.2 ParNew垃圾

收集器：多執行緒，複製演算法 16 1.8.3 Parallel Scavenge垃圾收集器：多執行緒，複製演算法 16 1.8.4 Serial Old垃圾收集器：單執行緒，標記整理演算法 16 1.8.5 Parallel Old垃圾收集器：多執行緒，標記整理演算法 17 1.8.6 CMS垃圾收集器 18 1.8.7 G1垃圾收集器 18 1.9 Java網路編程模型 19 1.9.1 阻塞I/O模型 19 1.9.2 非阻塞I/O模型 19 1.9.3 多工I/O模型 20 1.9.4 信號驅動I/O模型 21 1.9.5 非同步I/O模型 21 1.9.6 Java I/O 21 1

.9.7 Java NIO 22 1.10 JVM的類載入機制 28 1.10.1 JVM的類載入階段 28 1.10.2 類載入器 29 1.10.3 雙親委派機制 30 1.10.4 OSGI 32 第2章 Java基礎 33 2.1 集合 33 2.1.1 List：可重複 34 2.1.2 Queue 34 2.1.3 Set：不可重複 35 2.1.4 Map 36 2.2 異常分類及處理 39 2.2.1 異常的概念 39 2.2.2 異常分類 40 2.2.3 異常處理方式：拋出異常、使用try catch捕獲並處理異常 41 2.3 反射機制 42 2.3.1 動態語言的概念

42 2.3.2 反射機制的概念 43 2.3.3 反射的應用 43 2.3.4 Java的反射API 43 2.3.5 反射的步驟 43 2.3.6 創建物件的兩種方式 45 2.3.7 Method的invoke方法 45 2.4 注解 46 2.4.1 注解的概念 46 2.4.2 標準元注解：@Target、@Retention、@Documented、@Inherited 46 2.4.3 注解處理器 47 2.5 內部類 49 2.5.1 靜態內部類 49 2.5.2 成員內部類 50 2.5.3 局部內部類 51 2.5.4 匿名內部類 51 2.6 泛型 52 2.6.1 泛

型標記和泛型限定：E、T、K、V、N、? 53 2.6.2 泛型方法 53 2.6.3 泛型類 54 2.6.4 泛型介面 55 2.6.5 類型擦除 56 2.7 序列化 56 2.7.1 Java序列化API的使用 57 2.7.2 序列化和反序列化 58 第3章 Java併發編程 59 3.1 Java執行緒的創建方式 59 3.1.1 繼承Thread類 59 3.1.2 實現Runnable介面 60 3.1.3 通過ExecutorService和Callable＜Class＞實現有返回值的執行緒 61 3.1.4 基於執行緒池 62 3.2 執行緒池的工作原理 62 3.2.1

執行緒複用 63 3.2.2 執行緒池的核心組件和核心類 63 3.2.3 Java執行緒池的工作流程 65 3.2.4 執行緒池的拒*策略 66 3.3 5種常用的執行緒池 68 3.3.1 newCachedThreadPool 68 3.3.2 newFixedThreadPool 68 3.3.3 newScheduledThreadPool 69 3.3.4 newSingleThreadExecutor 69 3.3.5 newWorkStealingPool 69 3.4 執行緒的生命週期 70 3.4.1 新建狀態：New 71 3.4.2 就緒狀態：Runnable 71

3.4.3 運行狀態：Running 71 3.4.4 阻塞狀態：Blocked 71 3.4.5 執行緒死亡：Dead 72 3.5 執行緒的基本方法 72 3.5.1 執行緒等待：wait方法 72 3.5.2 執行緒睡眠：sleep方法 73 3.5.3 執行緒讓步：yield方法 73 3.5.4 執行緒中斷：interrupt方法 73 3.5.5 執行緒加入：join方法 74 3.5.6 執行緒喚醒：notify方法 75 3.5.7 後臺守護執行緒：setDaemon方法 75 3.5.8 sleep方法與wait方法的區別 76 3.5.9 start方法與run方法的區別

76 3.5.10 終止執行緒的4種方式 77 3.6 Java中的鎖 79 3.6.1 樂觀鎖 79 3.6.2 悲觀鎖 79 3.6.3 自旋鎖 80 3.6.4 synchronized 81 3.6.5 ReentrantLock 89 3.6.6 synchronized和ReentrantLock的比較 94 3.6.7 Semaphore 95 3.6.8 AtomicInteger 96 3.6.9 可重入鎖 97 3.6.10 公平鎖與非公平鎖 97 3.6.11 讀寫鎖：ReadWriteLock 98 3.6.12 共用鎖和獨佔鎖 98 3.6.13 重量級鎖和羽量級鎖

99 3.6.14 偏向鎖 99 3.6.15 分段鎖 100 3.6.16 同步鎖與鎖死 100 3.6.17 如何進行鎖優化 100 3.7 執行緒上下文切換 101 3.7.1 上下文切換 102 3.7.2 引起執行緒上下文切換的原因 102 3.8 Java阻塞佇列 103 3.8.1 阻塞佇列的主要操作 104 3.8.2 Java中的阻塞佇列實現 108 3.9 Java併發關鍵字 113 3.9.1 CountDownLatch 113 3.9.2 CyclicBarrier 114 3.9.3 Semaphore 116 3.9.4 volatile關鍵字的作用 117 3.

10 多執行緒如何共用數據 119 3.10.1 將數據抽象成一個類，並將對這個數據的操作封裝在類的方法中 119 3.10.2 將Runnable對象作為一個類的內部類，將共用數據作為這個類的成員變數 121 3.11 ConcurrentHashMap併發 122 3.11.1 減小鎖細微性 122 3.11.2 ConcurrentHashMap的實現 123 3.12 Java中的執行緒調度 123 3.12.1 搶佔式調度 123 3.12.2 協同式調度 124 3.12.3 Java執行緒調度的實現：搶佔式 124 3.12.4 執行緒讓出CPU的情況 125 3.13 進程調度

演算法 125 3.13.1 優先調度演算法 125 3.13.2 高優先權優先調度演算法 126 3.13.3 時間片的輪轉調度演算法 127 3.14 什麼是CAS 128 3.14.1 CAS的概念：比較並交換 128 3.14.2 CAS的特性：樂觀鎖 128 3.14.3 CAS自旋等待 129 3.15 ABA問題 129 3.16 什麼是AQS 130 3.16.1 AQS的原理 130 3.16.2 state：狀態 131 3.16.3 AQS共用資源的方式：獨佔式和共用式 131 第4章 數據結構 133 4.1 棧及其Java實現 133 4.2 佇列及其Java實現

136 4.3 鏈表 138 4.3.1 鏈表的特點 139 4.3.2 單向鏈表的操作及其Java實現 139 4.3.3 雙向鏈表及其Java實現 143 4.3.4 迴圈鏈表 146 4.4 散列表 146 4.4.1 常用的構造散列函數 147 4.4.2 Hash的應用 148 4.5 二叉排序樹 148 4.5.1 插入操作 149 4.5.2 刪除操作 149 4.5.3 查找操作 151 4.5.4 用Java實現二叉排序樹 151 4.6 紅黑樹 155 4.6.1 紅黑樹的特性 156 4.6.2 紅黑樹的左旋 156 4.6.3 紅黑樹的右旋 157 4.6.4 紅黑樹的

添加 157 4.6.5 紅黑樹的刪除 158 4.7 圖 159 4.7.1 無向圖和有向圖 159 4.7.2 圖的存儲結構：鄰接矩陣 160 4.7.3 圖的存儲結構：鄰接表 161 4.7.4 圖的遍歷 162 4.8 點陣圖 164 4.8.1 點陣圖的數據結構 164 4.8.2 點陣圖的Java實現 165 第5章 Java中的常用演算法 167 5.1 二分查找演算法 167 5.1.1

java /t /n進入發燒排行的影片

強化資訊通信系統的安全機制設計之研究

為了解決java /t /n的問題，作者林㒥祥 這樣論述：

隨著資訊技術的發展，迄今資訊安全已是全球性的問題，國家對資訊基礎建設的依賴越來越重，隨著網路興起使近年來網路上不斷發生資安事件，除了嚴重影響個人及企業，對國防資訊通信系統的安全也是一大隱憂，隨著各系統介接整合，單一身分認證機制的防護不足，機敏資訊易遭竊取、偽冒或破解等重要議題，使得如何強化資訊網路安全性，已成為當前國軍重視考量之課題。為提升系統的安全性，本研究設計將區塊鏈及智能合約導入訊息交換系統，利用其不可竄改及條件執行、去中心化等特性，由智能合約管控，直至設定條件滿足後，由智能合約驗證身分並自動執行電子訊息交換，設計出適用於強化資通系統之安全機制，不僅符合機密性、完整性、不可否認性等基礎

安全需求外，並能抵禦常見之竊聽及偽冒等網路攻擊手段，更可建立運算速度快，耗費資源少之保護機制，兼顧效能、成本與安全性，有效地防杜機敏訊息失竊風險。

電腦組成與設計：硬體/軟體介面（原書第5版·RISC-V版·英文版）

為了解決java /t /n的問題，作者（美）戴維·A.帕特森 這樣論述：

本書是經典著作《計算機組成與設計》繼MIPS版、ARM版之後的最新版本，這一版專注於RISC-V，是Patterson和Hennessy的又一力作。RISC-V指令集作為開源架構，是專為雲計算、移動計算以及各類嵌入式系統等現代計算環境設計的架構。本書更加關注後PC時代發生的變革，通過實例、練習等詳細介紹最新計算模式，更新的內容還包括平板電腦、雲基礎設施以及ARM（行動計算裝置）和x86 (雲計算)體系結構。 C H A P T E R S 1 Computer Abstractions and Technology 2 1.1 Introduction 3 1.2 Eight Great

Ideas in Computer Architecture 11 1.3 Below Your Program 13 1.4 Under the Covers 16 1.5 Technologies for Building Processors and Memory 24 1.6 Performance 28 1.7 The Power Wall 40 1.8 The Sea Change: The Switch from Uniprocessors to Multiprocessors 43 1.9 Real Stuff: Benchma the Intel Core i7 46 1.

10 Fallacies and Pitfalls 49 1.11 Concluding Remarks 52 1.12 Historical Perspective and Further Reading 54 1.13 Exercises 54 2 Instructions: Language of the Computer 60 2.1 Introduction 62 2.2 Operations of the Computer Hardware 63 2.3 Operands of the Computer Hardware 67 2.4 Signed and Unsigned Nu

mbers 74 2.5 Representing Instructions in the Computer 81 2.6 Logical Operations 89 2.7 Instructions for M Decisions 92 2.8 Supporting Procedures in Computer Hardware 98 2.9 Communicating with People 108 2.10 RISC-V Addressing for Wide Immediates and Addresses 113 2.11 Parallelism and Instructions:

Synchronization 121 2.12 Translating and Starting a Program 124 2.13 A C Sort Example to Put it All Together 133 2.14 Arrays versus Pointers 141 2.15 Advanced Material: Compiling C and Interpreting Java 144 2.16 Real Stuff: MIPS Instructions 145 2.17 Real Stuff: x86 Instructions 146 2.18 Real Stuff:

The Rest of the RISC-V Instruction Set 155 2.19 Fallacies and Pitfalls 157 2.20 Concluding Remarks 159 2.21 Historical Perspective and Further Reading 162 2.22 Exercises 162 3 Arithmetic for Computers 172 3.1 Introduction 174 3.2 Addition and Subtraction 174 3.3 Multiplication 177 3.4 Division 183

3.5 Floating Point 191 3.6 Parallelism and Computer Arithmetic: Subword Parallelism 216 3.7 Real Stuff: Streaming SIMD Extensions and Advanced Vector Extensions in x86 217 3.8 Going Faster: Subword Parallelism and Matrix Multiply 218 3.9 Fallacies and Pitfalls 222 3.10 Concluding Remarks 225 3.11 H

istorical Perspective and Further Reading 227 3.12 Exercises 227 4 The Processor 234 4.1 Introduction 236 4.2 Logic Design Conventions 240 4.3 Building a Datapath 243 4.4 A Simple Implementation Scheme 251 4.5 An Overview of Pipelining 262 4.6 Pipelined Datapath and Control 276 4.7 Data Hazards: Fo

rwarding versus Stalling 294 4.8 Control Hazards 307 4.9 Exceptions 315 4.10 Parallelism via Instructions 321 4.11 Real Stuff: The ARM Cortex-A53 and Intel Core i7 Pipelines 334 4.12 Going Faster: Instruction-Level Parallelism and Matrix Multiply 342 4.13 Advanced Topic: An Introduction to Digital D

esign Using a Hardware Design Language to Describe and Model a Pipeline and More Pipelining Illustrations 345 4.14 Fallacies and Pitfalls 345 4.15 Concluding Remarks 346 4.16 Historical Perspective and Further Reading 347 4.17 Exercises 347 5 Large and Fast: Exploiting Memory Hierarchy 364 5.1 Intr

oduction 366 5.2 Memory Technologies 370 5.3 The Basics of Caches 375 5.4 Measuring and Improving Cache Performance 390 5.5 Dependable Memory Hierarchy 410 5.6 Virtual Machines 416 5.7 Virtual Memory 419 5.8 A Common Framework for Memory Hierarchy 443 5.9 Using a Finite-State Machine to Control a Si

mple Cache 449 5.10 Parallelism and Memory Hierarchy: Cache Coherence 454 5.11 Parallelism and Memory Hierarchy: Redundant Arrays of Inexpensive Disks 458 5.12 Advanced Material: Implementing Cache Controllers 459 5.13 Real Stuff: The ARM Cortex-A53 and Intel Core i7 Memory Hierarchies 459 5.14 Real

Stuff: The Rest of the RISC-V System and Special Instructions 464 5.15 Going Faster: Cache Blo and Matrix Multiply 465 5.16 Fallacies and Pitfalls 468 5.17 Concluding Remarks 472 5.18 Historical Perspective and Further Reading 473 5.19 Exercises 473 6 Parallel Processors from Client to Cloud 490 6

.1 Introduction 492 6.2 The Difficulty of Creating Parallel Processing Programs 494 6.3 SISD, MIMD, SIMD, SPMD, and Vector 499 6.4 Hardware Multithreading 506 6.5 Multicore and Other Shared Memory Multiprocessors 509 6.6 Introduction to Graphics Processing Units 514 6.7 Clusters, Warehouse Scale Com

puters, and Other Message-Passing Multiprocessors 521 6.8 Introduction to Multiprocessor Network Topologies 526 6.9 Communicating to the Outside World: Cluster Netwo 529 6.10 Multiprocessor Benchmarks and Performance Models 530 6.11 Real Stuff: Benchma and Rooflines of the Intel Core i7 960 and the

NVIDIA Tesla GPU 540 6.12 Going Faster: Multiple Processors and Matrix Multiply 545 6.13 Fallacies and Pitfalls 548 6.14 Concluding Remarks 550 6.15 Historical Perspective and Further Reading 553 6.16 Exercises 553 A P P E N D I X The most beautiful thing we can experience is the mysterious. It

is the source of all true art and science. Albert Einstein, What I Believe, 1930 About This Book We believe that learning in computer science and engineering should reflect the current state of the field, as well as introduce the principles that are shaping computing. We also feel that readers

in every specialty of computing need to appreciate the organizational paradigms that determine the capabilities, performance, energy, and, ultimately, the success of computer systems. Modern computer technology requires professionals of every computing specialty to understand both hardware and so

ftware. The interaction between hardware and software at a variety of levels also offers a framework for understanding the fundamentals of computing. Whether your primary interest is hardware or software, computer science or electrical engineering, the central ideas in computer organization and desi

gn are the same. Thus, our emphasis in this book is to show the relationship between hardware and software and to focus on the concepts that are the basis for current computers. The recent switch from uniprocessor to multicore microprocessors confirmed the soundness of this perspective, given sinc

e the first edition. While programmers could ignore the advice and rely on computer architects, compiler writers, and silicon engineers to make their programs run faster or be more energy-efficient without change, that era is over. For programs to run faster, they must become parallel. While the goa

l of many researchers is to make it possible for programmers to be unaware of the underlying parallel nature of the hardware they are programming, it will take many years to realize this vision. Our view is that for at least the next decade, most programmers are going to have to understand the hardw

are/software interface if they want programs to run efficiently on parallel computers. The audience for this book includes those with little experience in assembly language or logic design who need to understand basic computer organization as well as readers with backgrounds in assembly language a

nd/or logic design who want to learn how to design a computer or understand how a system works and why it performs as it does. About the Other Book Some readers may be familiar with Computer Architecture: A Quantitative Approach, popularly known as Hennessy and Patterson. (This book in turn is o

ften called Patterson and Hennessy.) Our motivation in writing the earlier book was to describe the principles of computer architecture using solid engineering fundamentals and quantitative cost/performance tradeoffs. We used an approach that combined examples and measurements, based on commercial s

ystems, to create realistic design experiences. Our goal was to demonstrate that computer architecture could be learned using quantitative methodologies instead of a descriptive approach. It was intended for the serious computing professional who wanted a detailed understanding of computers. A maj

ority of the readers for this book do not plan to become computer architects. The performance and energy efficiency of future software systems will be dramatically affected, however, by how well software designers understand the basic hardware techniques at work in a system. Thus, compiler writers,

operating system designers, database programmers, and most other software engineers need a firm grounding in the principles presented in this book. Similarly, hardware designers must understand clearly the effects of their work on software applications. Thus, we knew that this book had to be much

more than a subset of the material in Computer Architecture, and the material was extensively revised to match the different audience. We were so happy with the result that the subsequent editions of Computer Architecture were revised to remove most of the introductory material; hence, there is much

less overlap today than with the first editions of both books. Why RISC-V for This Edition? The choice of instruction set architecture is

印尼勞工以敬業度和滿意度作為仲介變數對其工作激勵與績效的影響

為了解決java /t /n的問題，作者陳美英 這樣論述：

Improvements in employee performance are key organizational goal in most companies, especially in department of human resources. This research aimed to investigate the influence of Employee Motivation on Employee Performance using Employee Engagement and Job Satisfaction as the mediating variables.

A Survey questionnaire was distributed to 117 employees from CV KAM Indonesia, a grocery wholesale company, using Google Forms. The obtained data was processed using the SmartPLS software. The data analysis method used was structural equation modeling-partial least square (SEM-PLS) to examine the r

elations between the variables. The results of this study showed that employee motivation has a direct positive influence on both employee engagement and job satisfaction, but not employee performance. Employee engagement and job satisfaction have a direct positive influence on employee performance.

Additionally, employee engagement and job satisfaction are proven to be able to fully mediate the effect of employee motivation on employee performance. This study has attempted to not only provide statistical results but also a managerial discussion to support the improvement program in CV KAM Ind

onesia.