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* Translate 1.0.0b6 release with the machine learning translator. * Update Dockerfile A few translation improvements. * Fix a badge logo. * Fix EN translation of chapter_appendix/terminology.md (#913) * Update README.md * Update README.md * translation: Refined the automated translation of README (#932) * refined the automated translation of README * Update index.md * Update mkdocs-en.yml --------- Co-authored-by: Yudong Jin <krahets@163.com> * translate: Embellish chapter_computational_complexity/index.md (#940) * translation: Update chapter_computational_complexity/performance_evaluation.md (#943) * Update performance_evaluation.md * Update performance_evaluation.md * Update performance_evaluation.md change 'methods' to 'approaches' on line 15 * Update performance_evaluation.md on line 21, change the sentence to 'the results could be the opposite on another computer with different specifications.' * Update performance_evaluation.md delete two short sentence on line 5 and 6 * Update performance_evaluation.md change `unavoidable` to `inevitable` on line 48 * Update performance_evaluation.md small changes on line 23 * translation: Update terminology and improve readability in preface summary (#954) * Update terminology and improve readability in preface summary This commit made a few adjustments in the 'summary.md' file for clearer and more accessible language. "Brushing tool library" was replaced with "Coding Toolkit" to better reflect common terminology. Also, advice for beginners in algorithm learning journey was reformulated to imply a more positive approach avoiding detours and common pitfalls. The section related to the discussion forum was rewritten to sound more inviting to readers. * Format * Optimize the translation of chapter_introduction/algorithms_are_everywhere. * Add .gitignore to Java subfolder. * Update the button assets. * Fix the callout * translation: chapter_computational_complexity/summary to en (#953) * translate chapter_computational_complexity/summary * minor format * Update summary.md with comment * Update summary.md * Update summary.md * translation: chapter_introduction/what_is_dsa.md (#962) * Optimize translation of what_is_dsa.md * Update * translation: chapter_introduction/summary.md (#963) * Translate chapter_introduction/summary.md * Update * translation: Update README.md (#964) * Update en translation of README.md * Update README.md * translation: update space_complexity.md (#970) * update space_complexity.md * the rest of translation piece * Update space_complexity.md --------- Co-authored-by: ThomasQiu <thomas.qiu@mnfgroup.limited> Co-authored-by: Yudong Jin <krahets@163.com> * translation: Update chapter_introduction/index.md (#971) * Update index.md sorry, first time doing this... now this is the final change. changes: title of the chapter is shorter. refined the abstract. * Update index.md --------- Co-authored-by: Yudong Jin <krahets@163.com> * translation: Update chapter_data_structure/classification_of_data_structure.md (#980) * update classification_of_data_structure.md * Update classification_of_data_structure.md --------- Co-authored-by: Yudong Jin <krahets@163.com> * translation: Update chapter_introduction/algorithms_are_everywhere.md (#972) * Update algorithms_are_everywhere.md changed or refined parts of the words and sentences including tips. Some of them I didnt change that much because im worried that it might not meet the requirement of accuracy. some other ones i changed a lot to make it sound better, but also kind of following the same wording as the CN version * Update algorithms_are_everywhere.md re-edited the dictionary part from Piyin to just normal Eng dictionary. again thank you very much hpstory for you suggestion. * Update algorithms_are_everywhere.md --------- Co-authored-by: Yudong Jin <krahets@163.com> * Prepare merging into main branch. * Update buttons * Update Dockerfile * Update index.md * Update index.md * Update README * Fix index.md * Fix mkdocs-en.yml --------- Co-authored-by: Yuelin Xin <sc20yx2@leeds.ac.uk> Co-authored-by: Phoenix Xie <phoenixx0415@gmail.com> Co-authored-by: Sizhuo Long <longsizhuo@gmail.com> Co-authored-by: Spark <qizhang94@outlook.com> Co-authored-by: Thomas <thomasqiu7@gmail.com> Co-authored-by: ThomasQiu <thomas.qiu@mnfgroup.limited> Co-authored-by: K3v123 <123932560+K3v123@users.noreply.github.com> Co-authored-by: Jin <36914748+yanedie@users.noreply.github.com>
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982 B
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# Summary
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- The main audience of this book is beginners in algorithm. If you already have some basic knowledge, this book can help you systematically review your algorithm knowledge, and the source code in this book can also be used as a "Coding Toolkit".
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- The book consists of three main sections, Complexity Analysis, Data Structures, and Algorithms, covering most of the topics in the field.
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- For newcomers to algorithms, it is crucial to read an introductory book in the beginning stages to avoid many detours or common pitfalls.
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- Animations and graphs within the book are usually used to introduce key points and difficult knowledge. These should be given more attention when reading the book.
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- Practice is the best way to learn programming. It is highly recommended that you run the source code and type in the code yourself.
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- Each chapter in the web version of this book features a discussion forum, and you are welcome to share your questions and insights at any time. |