From f6976978dd9edafacdb3a01e0b2762f04695dab5 Mon Sep 17 00:00:00 2001 From: Yudong Jin Date: Sun, 14 Jan 2024 03:16:20 +0800 Subject: [PATCH] Prepare 1.0.0 release (#1044) * Update the book with the thrid revised edition * Fix a typo * Update the contributors' information * Update the mindmap * Update the version number --- codes/c/chapter_backtracking/n_queens.c | 4 ++-- codes/cpp/chapter_backtracking/n_queens.cpp | 4 ++-- codes/csharp/chapter_backtracking/n_queens.cs | 4 ++-- codes/dart/chapter_backtracking/n_queens.dart | 4 ++-- codes/go/chapter_backtracking/n_queens.go | 3 ++- codes/java/chapter_backtracking/n_queens.java | 4 ++-- .../chapter_backtracking/n_queens.js | 4 ++-- codes/python/chapter_backtracking/n_queens.py | 4 ++-- codes/rust/chapter_backtracking/n_queens.rs | 4 ++-- .../swift/chapter_backtracking/n_queens.swift | 4 ++-- .../chapter_backtracking/n_queens.ts | 4 ++-- docs-en/chapter_preface/about_the_book.md | 2 +- docs/chapter_appendix/terminology.md | 2 +- docs/chapter_array_and_linkedlist/summary.md | 8 ++++---- docs/chapter_backtracking/n_queens_problem.md | 2 +- .../performance_evaluation.md | 2 +- .../chapter_data_structure/number_encoding.md | 4 ++-- docs/chapter_data_structure/summary.md | 2 +- .../build_binary_tree_problem.md | 2 +- .../unbounded_knapsack_problem.md | 2 +- docs/chapter_graph/graph.md | 2 +- docs/chapter_graph/graph_operations.md | 2 +- .../hello_algo_mindmap.png | Bin 171375 -> 165865 bytes docs/chapter_preface/about_the_book.md | 8 ++++---- docs/chapter_preface/suggestions.md | 2 +- docs/chapter_searching/binary_search.md | 2 +- docs/chapter_sorting/heap_sort.md | 2 +- docs/chapter_stack_and_queue/stack.md | 2 +- docs/chapter_stack_and_queue/summary.md | 2 +- docs/chapter_tree/avl_tree.md | 2 +- docs/index.md | 2 +- mkdocs-en.yml | 2 +- mkdocs.yml | 2 +- 33 files changed, 50 insertions(+), 49 deletions(-) diff --git a/codes/c/chapter_backtracking/n_queens.c b/codes/c/chapter_backtracking/n_queens.c index 5dc51e4c3..f538a5d11 100644 --- a/codes/c/chapter_backtracking/n_queens.c +++ b/codes/c/chapter_backtracking/n_queens.c @@ -8,7 +8,7 @@ #define MAX_SIZE 100 -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ void backtrack(int row, int n, char state[MAX_SIZE][MAX_SIZE], char ***res, int *resSize, bool cols[MAX_SIZE], bool diags1[2 * MAX_SIZE - 1], bool diags2[2 * MAX_SIZE - 1]) { // 当放置完所有行时,记录解 @@ -40,7 +40,7 @@ void backtrack(int row, int n, char state[MAX_SIZE][MAX_SIZE], char ***res, int } } -/* 求解 N 皇后 */ +/* 求解 n 皇后 */ char ***nQueens(int n, int *returnSize) { char state[MAX_SIZE][MAX_SIZE]; // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 diff --git a/codes/cpp/chapter_backtracking/n_queens.cpp b/codes/cpp/chapter_backtracking/n_queens.cpp index bced2cf7d..bb2cf45de 100644 --- a/codes/cpp/chapter_backtracking/n_queens.cpp +++ b/codes/cpp/chapter_backtracking/n_queens.cpp @@ -6,7 +6,7 @@ #include "../utils/common.hpp" -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ void backtrack(int row, int n, vector> &state, vector>> &res, vector &cols, vector &diags1, vector &diags2) { // 当放置完所有行时,记录解 @@ -33,7 +33,7 @@ void backtrack(int row, int n, vector> &state, vector>> nQueens(int n) { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 vector> state(n, vector(n, "#")); diff --git a/codes/csharp/chapter_backtracking/n_queens.cs b/codes/csharp/chapter_backtracking/n_queens.cs index fbd9a609a..b64ebd4a4 100644 --- a/codes/csharp/chapter_backtracking/n_queens.cs +++ b/codes/csharp/chapter_backtracking/n_queens.cs @@ -7,7 +7,7 @@ namespace hello_algo.chapter_backtracking; public class n_queens { - /* 回溯算法:N 皇后 */ + /* 回溯算法:n 皇后 */ void Backtrack(int row, int n, List> state, List>> res, bool[] cols, bool[] diags1, bool[] diags2) { // 当放置完所有行时,记录解 @@ -38,7 +38,7 @@ public class n_queens { } } - /* 求解 N 皇后 */ + /* 求解 n 皇后 */ List>> NQueens(int n) { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 List> state = []; diff --git a/codes/dart/chapter_backtracking/n_queens.dart b/codes/dart/chapter_backtracking/n_queens.dart index acbe805d5..6d4aa777d 100644 --- a/codes/dart/chapter_backtracking/n_queens.dart +++ b/codes/dart/chapter_backtracking/n_queens.dart @@ -4,7 +4,7 @@ * Author: liuyuxin (gvenusleo@gmail.com) */ -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ void backtrack( int row, int n, @@ -46,7 +46,7 @@ void backtrack( } } -/* 求解 N 皇后 */ +/* 求解 n 皇后 */ List>> nQueens(int n) { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 List> state = List.generate(n, (index) => List.filled(n, "#")); diff --git a/codes/go/chapter_backtracking/n_queens.go b/codes/go/chapter_backtracking/n_queens.go index 9097c5519..f2a74021a 100644 --- a/codes/go/chapter_backtracking/n_queens.go +++ b/codes/go/chapter_backtracking/n_queens.go @@ -4,7 +4,7 @@ package chapter_backtracking -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ func backtrack(row, n int, state *[][]string, res *[][][]string, cols, diags1, diags2 *[]bool) { // 当放置完所有行时,记录解 if row == n { @@ -35,6 +35,7 @@ func backtrack(row, n int, state *[][]string, res *[][][]string, cols, diags1, d } } +/* 求解 n 皇后 */ func nQueens(n int) [][][]string { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 state := make([][]string, n) diff --git a/codes/java/chapter_backtracking/n_queens.java b/codes/java/chapter_backtracking/n_queens.java index 177ee0a4f..4126afe1b 100644 --- a/codes/java/chapter_backtracking/n_queens.java +++ b/codes/java/chapter_backtracking/n_queens.java @@ -9,7 +9,7 @@ package chapter_backtracking; import java.util.*; public class n_queens { - /* 回溯算法:N 皇后 */ + /* 回溯算法:n 皇后 */ public static void backtrack(int row, int n, List> state, List>> res, boolean[] cols, boolean[] diags1, boolean[] diags2) { // 当放置完所有行时,记录解 @@ -40,7 +40,7 @@ public class n_queens { } } - /* 求解 N 皇后 */ + /* 求解 n 皇后 */ public static List>> nQueens(int n) { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 List> state = new ArrayList<>(); diff --git a/codes/javascript/chapter_backtracking/n_queens.js b/codes/javascript/chapter_backtracking/n_queens.js index 0d22cccbd..a018e047e 100644 --- a/codes/javascript/chapter_backtracking/n_queens.js +++ b/codes/javascript/chapter_backtracking/n_queens.js @@ -4,7 +4,7 @@ * Author: Justin (xiefahit@gmail.com) */ -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ function backtrack(row, n, state, res, cols, diags1, diags2) { // 当放置完所有行时,记录解 if (row === n) { @@ -30,7 +30,7 @@ function backtrack(row, n, state, res, cols, diags1, diags2) { } } -/* 求解 N 皇后 */ +/* 求解 n 皇后 */ function nQueens(n) { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 const state = Array.from({ length: n }, () => Array(n).fill('#')); diff --git a/codes/python/chapter_backtracking/n_queens.py b/codes/python/chapter_backtracking/n_queens.py index 60fde644f..a12539aa4 100644 --- a/codes/python/chapter_backtracking/n_queens.py +++ b/codes/python/chapter_backtracking/n_queens.py @@ -14,7 +14,7 @@ def backtrack( diags1: list[bool], diags2: list[bool], ): - """回溯算法:N 皇后""" + """回溯算法:n 皇后""" # 当放置完所有行时,记录解 if row == n: res.append([list(row) for row in state]) @@ -37,7 +37,7 @@ def backtrack( def n_queens(n: int) -> list[list[list[str]]]: - """求解 N 皇后""" + """求解 n 皇后""" # 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 state = [["#" for _ in range(n)] for _ in range(n)] cols = [False] * n # 记录列是否有皇后 diff --git a/codes/rust/chapter_backtracking/n_queens.rs b/codes/rust/chapter_backtracking/n_queens.rs index 6eed6f9a7..7e058acc4 100644 --- a/codes/rust/chapter_backtracking/n_queens.rs +++ b/codes/rust/chapter_backtracking/n_queens.rs @@ -4,7 +4,7 @@ * Author: codingonion (coderonion@gmail.com) */ -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ fn backtrack(row: usize, n: usize, state: &mut Vec>, res: &mut Vec>>, cols: &mut [bool], diags1: &mut [bool], diags2: &mut [bool]) { // 当放置完所有行时,记录解 @@ -35,7 +35,7 @@ fn backtrack(row: usize, n: usize, state: &mut Vec>, res: &mut Vec Vec>> { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 let mut state: Vec> = Vec::new(); diff --git a/codes/swift/chapter_backtracking/n_queens.swift b/codes/swift/chapter_backtracking/n_queens.swift index 99a377dfc..bb4e5b4ae 100644 --- a/codes/swift/chapter_backtracking/n_queens.swift +++ b/codes/swift/chapter_backtracking/n_queens.swift @@ -4,7 +4,7 @@ * Author: nuomi1 (nuomi1@qq.com) */ -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ func backtrack(row: Int, n: Int, state: inout [[String]], res: inout [[[String]]], cols: inout [Bool], diags1: inout [Bool], diags2: inout [Bool]) { // 当放置完所有行时,记录解 if row == n { @@ -34,7 +34,7 @@ func backtrack(row: Int, n: Int, state: inout [[String]], res: inout [[[String]] } } -/* 求解 N 皇后 */ +/* 求解 n 皇后 */ func nQueens(n: Int) -> [[[String]]] { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 var state = Array(repeating: Array(repeating: "#", count: n), count: n) diff --git a/codes/typescript/chapter_backtracking/n_queens.ts b/codes/typescript/chapter_backtracking/n_queens.ts index 741d5639b..640d16875 100644 --- a/codes/typescript/chapter_backtracking/n_queens.ts +++ b/codes/typescript/chapter_backtracking/n_queens.ts @@ -4,7 +4,7 @@ * Author: Justin (xiefahit@gmail.com) */ -/* 回溯算法:N 皇后 */ +/* 回溯算法:n 皇后 */ function backtrack( row: number, n: number, @@ -38,7 +38,7 @@ function backtrack( } } -/* 求解 N 皇后 */ +/* 求解 n 皇后 */ function nQueens(n: number): string[][][] { // 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位 const state = Array.from({ length: n }, () => Array(n).fill('#')); diff --git a/docs-en/chapter_preface/about_the_book.md b/docs-en/chapter_preface/about_the_book.md index fe1db8734..3351bb8c5 100644 --- a/docs-en/chapter_preface/about_the_book.md +++ b/docs-en/chapter_preface/about_the_book.md @@ -30,7 +30,7 @@ The main content of the book is shown in the following figure. ## Acknowledgements -This book is continuously improved with the joint efforts of many contributors from the open-source community. Thanks to each writer who invested their time and energy, listed in the order generated by GitHub: krahets、codingonion、nuomi1、Gonglja、Reanon、justin-tse、danielsss、hpstory、S-N-O-R-L-A-X、night-cruise、msk397、gvenusleo、RiverTwilight、gyt95、zhuoqinyue、Zuoxun、Xia-Sang、mingXta、FangYuan33、GN-Yu、IsChristina、xBLACKICEx、guowei-gong、Cathay-Chen、mgisr、JoseHung、qualifier1024、pengchzn、Guanngxu、longsizhuo、L-Super、what-is-me、yuan0221、lhxsm、Slone123c、WSL0809、longranger2、theNefelibatas、xiongsp、JeffersonHuang、hongyun-robot、K3v123、yuelinxin、a16su、gaofer、malone6、Wonderdch、xjr7670、DullSword、Horbin-Magician、NI-SW、reeswell、XC-Zero、XiaChuerwu、yd-j、iron-irax、huawuque404、MolDuM、Nigh、KorsChen、foursevenlove、52coder、bubble9um、youshaoXG、curly210102、gltianwen、fanchenggang、Transmigration-zhou、FloranceYeh、FreddieLi、ShiMaRing、lipusheng、Javesun99、JackYang-hellobobo、shanghai-Jerry、0130w、Keynman、psychelzh、logan-qiu、ZnYang2018、MwumLi、1ch0、Phoenix0415、qingpeng9802、Richard-Zhang1019、QiLOL、Suremotoo、Turing-1024-Lee、Evilrabbit520、GaochaoZhu、ZJKung、linzeyan、hezhizhen、ZongYangL、beintentional、czruby、coderlef、dshlstarr、szu17dmy、fbigm、gledfish、hts0000、boloboloda、iStig、jiaxianhua、wenjianmin、keshida、kilikilikid、lclc6、lwbaptx、liuxjerry、lucaswangdev、lyl625760、chadyi、noobcodemaker、selear、siqyka、syd168、4yDX3906、tao363、wangwang105、weibk、yabo083、yi427、yishangzhang、zhouLion、baagod、ElaBosak233、xb534、luluxia、yanedie、thomasq0 和 YangXuanyi。 +This book is continuously improved with the joint efforts of many contributors from the open-source community. Thanks to each writer who invested their time and energy, listed in the order generated by GitHub: krahets, codingonion, nuomi1, Gonglja, Reanon, justin-tse, danielsss, hpstory, S-N-O-R-L-A-X, night-cruise, msk397, gvenusleo, RiverTwilight, gyt95, zhuoqinyue, Zuoxun, Xia-Sang, mingXta, FangYuan33, GN-Yu, IsChristina, xBLACKICEx, guowei-gong, Cathay-Chen, mgisr, JoseHung, qualifier1024, pengchzn, Guanngxu, longsizhuo, L-Super, what-is-me, yuan0221, lhxsm, Slone123c, WSL0809, longranger2, theNefelibatas, xiongsp, JeffersonHuang, hongyun-robot, K3v123, yuelinxin, a16su, gaofer, malone6, Wonderdch, xjr7670, DullSword, Horbin-Magician, NI-SW, reeswell, XC-Zero, XiaChuerwu, yd-j, iron-irax, huawuque404, MolDuM, Nigh, KorsChen, foursevenlove, 52coder, bubble9um, youshaoXG, curly210102, gltianwen, fanchenggang, Transmigration-zhou, FloranceYeh, FreddieLi, ShiMaRing, lipusheng, Javesun99, JackYang-hellobobo, shanghai-Jerry, 0130w, Keynman, psychelzh, logan-qiu, ZnYang2018, MwumLi, 1ch0, Phoenix0415, qingpeng9802, Richard-Zhang1019, QiLOL, Suremotoo, Turing-1024-Lee, Evilrabbit520, GaochaoZhu, ZJKung, linzeyan, hezhizhen, ZongYangL, beintentional, czruby, coderlef, dshlstarr, szu17dmy, fbigm, gledfish, hts0000, boloboloda, iStig, jiaxianhua, wenjianmin, keshida, kilikilikid, lclc6, lwbaptx, liuxjerry, lucaswangdev, lyl625760, chadyi, noobcodemaker, selear, siqyka, syd168, 4yDX3906, tao363, wangwang105, weibk, yabo083, yi427, yishangzhang, zhouLion, baagod, ElaBosak233, xb534, luluxia, yanedie, thomasq0, YangXuanyi and th1nk3r-ing. The code review work for this book was completed by codingonion, Gonglja, gvenusleo, hpstory, justin‐tse, krahets, night-cruise, nuomi1, and Reanon (listed in alphabetical order). Thanks to them for their time and effort, ensuring the standardization and uniformity of the code in various languages. diff --git a/docs/chapter_appendix/terminology.md b/docs/chapter_appendix/terminology.md index de18f4eab..5afae1784 100644 --- a/docs/chapter_appendix/terminology.md +++ b/docs/chapter_appendix/terminology.md @@ -53,7 +53,7 @@ | 根节点 | root node | 剪枝 | pruning | | 叶节点 | leaf node | 全排列问题 | permutations problem | | 边 | edge | 子集和问题 | subset-sum problem | -| 层 | level | N 皇后问题 | N-queens problem | +| 层 | level | n 皇后问题 | n-queens problem | | 度 | degree | 动态规划 | dynamic programming | | 高度 | height | 初始状态 | initial state | | 深度 | depth | 状态转移方程 | state-trasition equation | diff --git a/docs/chapter_array_and_linkedlist/summary.md b/docs/chapter_array_and_linkedlist/summary.md index d04dd8983..2c9c7ebd6 100644 --- a/docs/chapter_array_and_linkedlist/summary.md +++ b/docs/chapter_array_and_linkedlist/summary.md @@ -5,8 +5,8 @@ - 数组和链表是两种基本的数据结构,分别代表数据在计算机内存中的两种存储方式:连续空间存储和分散空间存储。两者的特点呈现出互补的特性。 - 数组支持随机访问、占用内存较少;但插入和删除元素效率低,且初始化后长度不可变。 - 链表通过更改引用(指针)实现高效的节点插入与删除,且可以灵活调整长度;但节点访问效率低、占用内存较多。常见的链表类型包括单向链表、环形链表、双向链表。 -- 列表是一种支持增删查改的元素有序集合,通常基于动态数组实现,它保留了数组的优势,同时可以灵活调整长度。 -- 列表的出现大幅地提高了数组的实用性,但可能导致部分内存空间浪费。 +- 列表是一种支持增删查改的元素有序集合,通常基于动态数组实现。它保留了数组的优势,同时可以灵活调整长度。 +- 列表的出现大幅提高了数组的实用性,但可能导致部分内存空间浪费。 - 程序运行时,数据主要存储在内存中。数组可提供更高的内存空间效率,而链表则在内存使用上更加灵活。 - 缓存通过缓存行、预取机制以及空间局部性和时间局部性等数据加载机制,为 CPU 提供快速数据访问,显著提升程序的执行效率。 - 由于数组具有更高的缓存命中率,因此它通常比链表更高效。在选择数据结构时,应根据具体需求和场景做出恰当选择。 @@ -21,14 +21,14 @@ 2. 大小限制:栈内存相对较小,堆的大小一般受限于可用内存。因此堆更加适合存储大型数组。 3. 灵活性:栈上的数组的大小需要在编译时确定,而堆上的数组的大小可以在运行时动态确定。 -**Q**:为什么数组要求相同类型的元素,而在链表中却没有强调同类型呢? +**Q**:为什么数组要求相同类型的元素,而在链表中却没有强调相同类型呢? 链表由节点组成,节点之间通过引用(指针)连接,各个节点可以存储不同类型的数据,例如 `int`、`double`、`string`、`object` 等。 相对地,数组元素则必须是相同类型的,这样才能通过计算偏移量来获取对应元素位置。例如,数组同时包含 `int` 和 `long` 两种类型,单个元素分别占用 4 字节 和 8 字节 ,此时就不能用以下公式计算偏移量了,因为数组中包含了两种“元素长度”。 ```shell -# 元素内存地址 = 数组内存地址 + 元素长度 * 元素索引 +# 元素内存地址 = 数组内存地址(首元素内存地址) + 元素长度 * 元素索引 ``` **Q**:删除节点后,是否需要把 `P.next` 设为 `None` 呢? diff --git a/docs/chapter_backtracking/n_queens_problem.md b/docs/chapter_backtracking/n_queens_problem.md index cf8e24593..ab303b8b5 100644 --- a/docs/chapter_backtracking/n_queens_problem.md +++ b/docs/chapter_backtracking/n_queens_problem.md @@ -1,4 +1,4 @@ -# N 皇后问题 +# n 皇后问题 !!! question diff --git a/docs/chapter_computational_complexity/performance_evaluation.md b/docs/chapter_computational_complexity/performance_evaluation.md index 14da2d91e..b5d384358 100644 --- a/docs/chapter_computational_complexity/performance_evaluation.md +++ b/docs/chapter_computational_complexity/performance_evaluation.md @@ -10,7 +10,7 @@ - **时间效率**:算法运行速度的快慢。 - **空间效率**:算法占用内存空间的大小。 -简而言之,**我们的目标是设计“既快又省”的数据结构与算法**。而有效地评估算法效率至关重要,因为只有这样我们才能将各种算法进行对比,进而指导算法设计与优化过程。 +简而言之,**我们的目标是设计“既快又省”的数据结构与算法**。而有效地评估算法效率至关重要,因为只有这样,我们才能将各种算法进行对比,进而指导算法设计与优化过程。 效率评估方法主要分为两种:实际测试、理论估算。 diff --git a/docs/chapter_data_structure/number_encoding.md b/docs/chapter_data_structure/number_encoding.md index aecbf238d..cb8e2451f 100644 --- a/docs/chapter_data_structure/number_encoding.md +++ b/docs/chapter_data_structure/number_encoding.md @@ -90,7 +90,7 @@ $$ 细心的你可能会发现:`int` 和 `float` 长度相同,都是 4 字节 ,但为什么 `float` 的取值范围远大于 `int` ?这非常反直觉,因为按理说 `float` 需要表示小数,取值范围应该变小才对。 -实际上,**这是因为浮点数 `float` 采用了不同的表示方式**。记一个 32 位长度的二进制数为: +实际上,**这是因为浮点数 `float` 采用了不同的表示方式**。记一个 32 比特长度的二进制数为: $$ b_{31} b_{30} b_{29} \ldots b_2 b_1 b_0 @@ -133,7 +133,7 @@ $$ 现在我们可以回答最初的问题:**`float` 的表示方式包含指数位,导致其取值范围远大于 `int`** 。根据以上计算,`float` 可表示的最大正数为 $2^{254 - 127} \times (2 - 2^{-23}) \approx 3.4 \times 10^{38}$ ,切换符号位便可得到最小负数。 -**尽管浮点数 `float` 扩展了取值范围,但其副作用是牺牲了精度**。整数类型 `int` 将全部 32 位用于表示数字,数字是均匀分布的;而由于指数位的存在,浮点数 `float` 的数值越大,相邻两个数字之间的差值就会趋向越大。 +**尽管浮点数 `float` 扩展了取值范围,但其副作用是牺牲了精度**。整数类型 `int` 将全部 32 比特用于表示数字,数字是均匀分布的;而由于指数位的存在,浮点数 `float` 的数值越大,相邻两个数字之间的差值就会趋向越大。 如下表所示,指数位 $E = 0$ 和 $E = 255$ 具有特殊含义,**用于表示零、无穷大、$\mathrm{NaN}$ 等**。 diff --git a/docs/chapter_data_structure/summary.md b/docs/chapter_data_structure/summary.md index fdf16959d..c7b590873 100644 --- a/docs/chapter_data_structure/summary.md +++ b/docs/chapter_data_structure/summary.md @@ -6,7 +6,7 @@ - 常见的逻辑结构包括线性、树状和网状等。通常我们根据逻辑结构将数据结构分为线性(数组、链表、栈、队列)和非线性(树、图、堆)两种。哈希表的实现可能同时包含线性数据结构和非线性数据结构。 - 当程序运行时,数据被存储在计算机内存中。每个内存空间都拥有对应的内存地址,程序通过这些内存地址访问数据。 - 物理结构主要分为连续空间存储(数组)和分散空间存储(链表)。所有数据结构都是由数组、链表或两者的组合实现的。 -- 计算机中的基本数据类型包括整数 `byte`、`short`、`int`、`long` ,浮点数 `float`、`double` ,字符 `char` 和布尔 `boolean` 。它们的取值范围取决于占用空间大小和表示方式。 +- 计算机中的基本数据类型包括整数 `byte`、`short`、`int`、`long` ,浮点数 `float`、`double` ,字符 `char` 和布尔 `bool` 。它们的取值范围取决于占用空间大小和表示方式。 - 原码、反码和补码是在计算机中编码数字的三种方法,它们之间可以相互转换。整数的原码的最高位是符号位,其余位是数字的值。 - 整数在计算机中是以补码的形式存储的。在补码表示下,计算机可以对正数和负数的加法一视同仁,不需要为减法操作单独设计特殊的硬件电路,并且不存在正负零歧义的问题。 - 浮点数的编码由 1 位符号位、8 位指数位和 23 位分数位构成。由于存在指数位,因此浮点数的取值范围远大于整数,代价是牺牲了精度。 diff --git a/docs/chapter_divide_and_conquer/build_binary_tree_problem.md b/docs/chapter_divide_and_conquer/build_binary_tree_problem.md index 1bb904589..62e06eca7 100644 --- a/docs/chapter_divide_and_conquer/build_binary_tree_problem.md +++ b/docs/chapter_divide_and_conquer/build_binary_tree_problem.md @@ -2,7 +2,7 @@ !!! question - 给定一棵二叉树的前序遍历 `preorder` 和中序遍历 `inorder` ,请从中构建二叉树,返回二叉树的根节点。假设二叉树中没有值重复的节点,如下图所示。 + 给定一棵二叉树的前序遍历 `preorder` 和中序遍历 `inorder` ,请从中构建二叉树,返回二叉树的根节点。假设二叉树中没有值重复的节点(如下图所示)。 ![构建二叉树的示例数据](build_binary_tree_problem.assets/build_tree_example.png) diff --git a/docs/chapter_dynamic_programming/unbounded_knapsack_problem.md b/docs/chapter_dynamic_programming/unbounded_knapsack_problem.md index 9f2bb71a3..c43604cea 100644 --- a/docs/chapter_dynamic_programming/unbounded_knapsack_problem.md +++ b/docs/chapter_dynamic_programming/unbounded_knapsack_problem.md @@ -2,7 +2,7 @@ 在本节中,我们先求解另一个常见的背包问题:完全背包,再了解它的一种特例:零钱兑换。 -## 完全背包 +## 完全背包问题 !!! question diff --git a/docs/chapter_graph/graph.md b/docs/chapter_graph/graph.md index e3e2cf0b2..40faf6a74 100644 --- a/docs/chapter_graph/graph.md +++ b/docs/chapter_graph/graph.md @@ -14,7 +14,7 @@ $$ ![链表、树、图之间的关系](graph.assets/linkedlist_tree_graph.png) -## 图常见类型与术语 +## 图的常见类型与术语 根据边是否具有方向,可分为「无向图 undirected graph」和「有向图 directed graph」,如下图所示。 diff --git a/docs/chapter_graph/graph_operations.md b/docs/chapter_graph/graph_operations.md index aa01f4c1e..ae344b561 100644 --- a/docs/chapter_graph/graph_operations.md +++ b/docs/chapter_graph/graph_operations.md @@ -1,4 +1,4 @@ -# 图基础操作 +# 图的基础操作 图的基础操作可分为对“边”的操作和对“顶点”的操作。在“邻接矩阵”和“邻接表”两种表示方法下,实现方式有所不同。 diff --git a/docs/chapter_preface/about_the_book.assets/hello_algo_mindmap.png b/docs/chapter_preface/about_the_book.assets/hello_algo_mindmap.png index 309488ea3a9cb02994e879240c584c599dd219dc..a4ef8fd66be0f8b611b79616d9b83da35e3c01a9 100644 GIT binary patch literal 165865 zcma%hRa9I-v-L0xF!f(>TfB*ivxH!JNIygJqJ3dxaRFsgAFflcik(ITuw6wOdF*Gt#RaO1DzV7Vm z`uy@oLsL^vUw`}X(AM65``|!ZM@Lv#cy?*Y)7v{cKYw+5dwq8|Avt+@bMv!@$L7KQ 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b/docs/chapter_preface/about_the_book.md @@ -30,20 +30,20 @@ ## 致谢 -本书在开源社区众多贡献者的共同努力下不断完善。感谢每一位投入时间与精力的撰稿人,他们是(按照 GitHub 自动生成的顺序):krahets、codingonion、nuomi1、Gonglja、Reanon、justin-tse、danielsss、hpstory、S-N-O-R-L-A-X、night-cruise、msk397、gvenusleo、RiverTwilight、gyt95、zhuoqinyue、Zuoxun、Xia-Sang、mingXta、FangYuan33、GN-Yu、IsChristina、xBLACKICEx、guowei-gong、Cathay-Chen、mgisr、JoseHung、qualifier1024、pengchzn、Guanngxu、longsizhuo、L-Super、what-is-me、yuan0221、lhxsm、Slone123c、WSL0809、longranger2、theNefelibatas、xiongsp、JeffersonHuang、hongyun-robot、K3v123、yuelinxin、a16su、gaofer、malone6、Wonderdch、xjr7670、DullSword、Horbin-Magician、NI-SW、reeswell、XC-Zero、XiaChuerwu、yd-j、iron-irax、huawuque404、MolDuM、Nigh、KorsChen、foursevenlove、52coder、bubble9um、youshaoXG、curly210102、gltianwen、fanchenggang、Transmigration-zhou、FloranceYeh、FreddieLi、ShiMaRing、lipusheng、Javesun99、JackYang-hellobobo、shanghai-Jerry、0130w、Keynman、psychelzh、logan-qiu、ZnYang2018、MwumLi、1ch0、Phoenix0415、qingpeng9802、Richard-Zhang1019、QiLOL、Suremotoo、Turing-1024-Lee、Evilrabbit520、GaochaoZhu、ZJKung、linzeyan、hezhizhen、ZongYangL、beintentional、czruby、coderlef、dshlstarr、szu17dmy、fbigm、gledfish、hts0000、boloboloda、iStig、jiaxianhua、wenjianmin、keshida、kilikilikid、lclc6、lwbaptx、liuxjerry、lucaswangdev、lyl625760、chadyi、noobcodemaker、selear、siqyka、syd168、4yDX3906、tao363、wangwang105、weibk、yabo083、yi427、yishangzhang、zhouLion、baagod、ElaBosak233、xb534、luluxia、yanedie、thomasq0 和 YangXuanyi。 +本书在开源社区众多贡献者的共同努力下不断完善。感谢每一位投入时间与精力的撰稿人,他们是(按照 GitHub 自动生成的顺序):krahets、codingonion、nuomi1、Gonglja、Reanon、justin-tse、danielsss、hpstory、S-N-O-R-L-A-X、night-cruise、msk397、gvenusleo、RiverTwilight、gyt95、zhuoqinyue、Zuoxun、Xia-Sang、mingXta、FangYuan33、GN-Yu、IsChristina、xBLACKICEx、guowei-gong、Cathay-Chen、mgisr、JoseHung、qualifier1024、pengchzn、Guanngxu、longsizhuo、L-Super、what-is-me、yuan0221、lhxsm、Slone123c、WSL0809、longranger2、theNefelibatas、xiongsp、JeffersonHuang、hongyun-robot、K3v123、yuelinxin、a16su、gaofer、malone6、Wonderdch、xjr7670、DullSword、Horbin-Magician、NI-SW、reeswell、XC-Zero、XiaChuerwu、yd-j、iron-irax、huawuque404、MolDuM、Nigh、KorsChen、foursevenlove、52coder、bubble9um、youshaoXG、curly210102、gltianwen、fanchenggang、Transmigration-zhou、FloranceYeh、FreddieLi、ShiMaRing、lipusheng、Javesun99、JackYang-hellobobo、shanghai-Jerry、0130w、Keynman、psychelzh、logan-qiu、ZnYang2018、MwumLi、1ch0、Phoenix0415、qingpeng9802、Richard-Zhang1019、QiLOL、Suremotoo、Turing-1024-Lee、Evilrabbit520、GaochaoZhu、ZJKung、linzeyan、hezhizhen、ZongYangL、beintentional、czruby、coderlef、dshlstarr、szu17dmy、fbigm、gledfish、hts0000、boloboloda、iStig、jiaxianhua、wenjianmin、keshida、kilikilikid、lclc6、lwbaptx、liuxjerry、lucaswangdev、lyl625760、chadyi、noobcodemaker、selear、siqyka、syd168、4yDX3906、tao363、wangwang105、weibk、yabo083、yi427、yishangzhang、zhouLion、baagod、ElaBosak233、xb534、luluxia、yanedie、thomasq0、YangXuanyi 和 th1nk3r-ing 。 -本书的代码审阅工作由 codingonion, Gonglja、gvenusleo、hpstory、justin‐tse、krahets、night-cruise、nuomi1 和 Reanon 完成(按照首字母顺序排列)。感谢他们付出的时间与精力,正是他们确保了各语言代码的规范与统一。 +本书的代码审阅工作由 codingonion、Gonglja、gvenusleo、hpstory、justin-tse、krahets、night-cruise、nuomi1 和 Reanon 完成(按照首字母顺序排列)。感谢他们付出的时间与精力,正是他们确保了各语言代码的规范与统一。 在本书的创作过程中,我得到了许多人的帮助。 - 感谢我在公司的导师李汐博士,在一次畅谈中你鼓励我“快行动起来”,坚定了我写这本书的决心; - 感谢我的女朋友泡泡作为本书的首位读者,从算法小白的角度提出许多宝贵建议,使得本书更适合新手阅读; -- 感谢腾宝、琦宝、飞宝为本书起了一个富有创意的名字,唤起大家写下第一行代码 "Hello World!" 的美好回忆; +- 感谢腾宝、琦宝、飞宝为本书起了一个富有创意的名字,唤起大家写下第一行代码“Hello World!”的美好回忆; - 感谢校铨在知识产权方面提供的专业帮助,这对本开源书的完善起到了重要作用; - 感谢苏潼为本书设计了精美的封面和 logo ,并在我的强迫症的驱使下多次耐心修改; - 感谢 @squidfunk 提供的排版建议,以及他开发的开源文档主题 [Material-for-MkDocs](https://github.com/squidfunk/mkdocs-material/tree/master) 。 -在写作过程中,我阅读了许多关于数据结构与算法的教材和文章。这些作品为本书提供了优秀的范本,确保了本书内容的准确性与品质。在此感谢所有老师和前辈们的杰出贡献! +在写作过程中,我阅读了许多关于数据结构与算法的教材和文章。这些作品为本书提供了优秀的范本,确保了本书内容的准确性与品质。在此感谢所有老师和前辈的杰出贡献! 本书倡导手脑并用的学习方式,在这一点上我深受[《动手学深度学习》](https://github.com/d2l-ai/d2l-zh)的启发。在此向各位读者强烈推荐这本优秀的著作。 diff --git a/docs/chapter_preface/suggestions.md b/docs/chapter_preface/suggestions.md index 5c69fca2c..30c510feb 100644 --- a/docs/chapter_preface/suggestions.md +++ b/docs/chapter_preface/suggestions.md @@ -171,7 +171,7 @@ 相较于文字,视频和图片具有更高的信息密度和结构化程度,更易于理解。在本书中,**重点和难点知识将主要通过动画以图解形式展示**,而文字则作为解释与补充。 -如果你在阅读本书时,发现某段内容提供了如下图所示的动画或图解,**请以图为主、以文字为辅**,综合两者来理解内容。 +如果你在阅读本书时,发现某段内容提供了如下图所示的动画图解,**请以图为主、以文字为辅**,综合两者来理解内容。 ![动画图解示例](../index.assets/animation.gif) diff --git a/docs/chapter_searching/binary_search.md b/docs/chapter_searching/binary_search.md index 0c1d510ca..b486f08ad 100755 --- a/docs/chapter_searching/binary_search.md +++ b/docs/chapter_searching/binary_search.md @@ -49,7 +49,7 @@ [file]{binary_search}-[class]{}-[func]{binary_search} ``` -**时间复杂度为 $O(\log n)$** :在二分循环中,区间每轮缩小一半,循环次数为 $\log_2 n$ 。 +**时间复杂度为 $O(\log n)$** :在二分循环中,区间每轮缩小一半,因此循环次数为 $\log_2 n$ 。 **空间复杂度为 $O(1)$** :指针 $i$ 和 $j$ 使用常数大小空间。 diff --git a/docs/chapter_sorting/heap_sort.md b/docs/chapter_sorting/heap_sort.md index 337f5ef99..7098ad4c5 100644 --- a/docs/chapter_sorting/heap_sort.md +++ b/docs/chapter_sorting/heap_sort.md @@ -17,7 +17,7 @@ 1. 输入数组并建立大顶堆。完成后,最大元素位于堆顶。 2. 将堆顶元素(第一个元素)与堆底元素(最后一个元素)交换。完成交换后,堆的长度减 $1$ ,已排序元素数量加 $1$ 。 -3. 从堆顶元素开始,从顶到底执行堆化操作(Sift Down)。完成堆化后,堆的性质得到修复。 +3. 从堆顶元素开始,从顶到底执行堆化操作(sift down)。完成堆化后,堆的性质得到修复。 4. 循环执行第 `2.` 步和第 `3.` 步。循环 $n - 1$ 轮后,即可完成数组排序。 !!! tip diff --git a/docs/chapter_stack_and_queue/stack.md b/docs/chapter_stack_and_queue/stack.md index 5c59f0a47..17c2728cf 100755 --- a/docs/chapter_stack_and_queue/stack.md +++ b/docs/chapter_stack_and_queue/stack.md @@ -377,7 +377,7 @@ 综上,我们不能简单地确定哪种实现更加节省内存,需要针对具体情况进行分析。 -## 栈典型应用 +## 栈的典型应用 - **浏览器中的后退与前进、软件中的撤销与反撤销**。每当我们打开新的网页,浏览器就会对上一个网页执行入栈,这样我们就可以通过后退操作回到上一个网页。后退操作实际上是在执行出栈。如果要同时支持后退和前进,那么需要两个栈来配合实现。 - **程序内存管理**。每次调用函数时,系统都会在栈顶添加一个栈帧,用于记录函数的上下文信息。在递归函数中,向下递推阶段会不断执行入栈操作,而向上回溯阶段则会不断执行出栈操作。 diff --git a/docs/chapter_stack_and_queue/summary.md b/docs/chapter_stack_and_queue/summary.md index 474eb7eed..a104e04ac 100644 --- a/docs/chapter_stack_and_queue/summary.md +++ b/docs/chapter_stack_and_queue/summary.md @@ -20,7 +20,7 @@ **Q**:双向队列像是两个栈拼接在了一起,它的用途是什么? -双向队列就像是栈和队列的组合,或两个栈拼在了一起。它表现的是栈 + 队列的逻辑,因此可以实现栈与队列的所有应用,并且更加灵活。 +双向队列就像是栈和队列的组合或两个栈拼在了一起。它表现的是栈 + 队列的逻辑,因此可以实现栈与队列的所有应用,并且更加灵活。 **Q**:撤销(undo)和反撤销(redo)具体是如何实现的? diff --git a/docs/chapter_tree/avl_tree.md b/docs/chapter_tree/avl_tree.md index de14137dc..efb333cce 100644 --- a/docs/chapter_tree/avl_tree.md +++ b/docs/chapter_tree/avl_tree.md @@ -14,7 +14,7 @@ ## AVL 树常见术语 -AVL 树既是二叉搜索树也是平衡二叉树,同时满足这两类二叉树的所有性质,因此也被称为「平衡二叉搜索树 balanced binary search tree」。 +AVL 树既是二叉搜索树,也是平衡二叉树,同时满足这两类二叉树的所有性质,因此也被称为「平衡二叉搜索树 balanced binary search tree」。 ### 节点高度 diff --git a/docs/index.md b/docs/index.md index 96116a856..d794f6dc4 100644 --- a/docs/index.md +++ b/docs/index.md @@ -156,7 +156,7 @@ hide:

-本书的代码审阅工作由 codingonion、Gonglja、gvenusleo、hpstory、justin‐tse、krahets、night-cruise、nuomi1 和 Reanon 完成(按照首字母顺序排列)。感谢他们付出的时间与精力,正是他们确保了各语言代码的规范与统一。 +本书的代码审阅工作由 codingonion、Gonglja、gvenusleo、hpstory、justin-tse、krahets、night-cruise、nuomi1 和 Reanon 完成(按照首字母顺序排列)。感谢他们付出的时间与精力,正是他们确保了各语言代码的规范与统一。
diff --git a/mkdocs-en.yml b/mkdocs-en.yml index 6fd14b9a5..6e0fe440a 100644 --- a/mkdocs-en.yml +++ b/mkdocs-en.yml @@ -9,7 +9,7 @@ docs_dir: build/docs-en site_dir: site/en # Repository edit_uri: tree/main/docs-en -version: 1.0.0b6 +version: 1.0.0 # Configuration theme: diff --git a/mkdocs.yml b/mkdocs.yml index 3f3f026b4..9c94d5c2e 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -9,7 +9,7 @@ site_dir: site repo_name: krahets/hello-algo repo_url: https://github.com/krahets/hello-algo edit_uri: tree/main/docs -version: 1.0.0b6 +version: 1.0.0 # Copyright copyright: Copyright © 2022 - 2024 Krahets