توسعه نرم‌افزارهای مقاوم و کارآمد نیازمند استفاده از الگوریتم‌های بهینه است—اما بسیاری از برنامه‌نویسان تا زمانی که با مشکل مواجه نشوند، به آن‌ها فکر نمی‌کنند. نسخه‌ی به‌روزشده‌ی کتاب Algorithms in a Nutshell مجموعه‌ای گسترده از الگوریتم‌های موجود برای حل انواع مسائل را معرفی می‌کند و به شما کمک می‌کند الگوریتم مناسب را انتخاب و پیاده‌سازی کنید—با حداقل ریاضیات لازم برای درک و تحلیل عملکرد آن‌ها.

📘 ویژگی‌های کلیدی این کتاب:

• تمرکز بر کاربرد الگوریتم‌ها در عمل به‌جای بحث‌های صرفاً نظری
• ارائه پیاده‌سازی الگوریتم‌ها در زبان‌های C، ++C، Java و Python با نکات عملی برای استفاده در پروژه‌ها
• معرفی هر الگوریتم در قالب یک الگوی طراحی (Design Pattern) شامل توضیحاتی درباره زمان و دلیل استفاده از آن
• درک عملکرد الگوریتم از نظر پیچیدگی زمانی و شرایط اجرای بهینه
• مقایسه تصمیمات طراحی و تأثیر آن‌ها بر الگوریتم‌های مختلف
• آشنایی با ساختار داده‌های پیشرفته برای افزایش بهره‌وری الگوریتم‌ها

با خواندن این کتاب، می‌توانید:

• یک مسئله کدنویسی را به‌صورت مؤثر حل کنید یا کارایی راه‌حل موجود را بهبود دهید
• به‌سرعت الگوریتم مناسب برای حل یک مسئله خاص را یافته و دلیل انتخاب آن را درک کنید
• از کدهای آماده در چند زبان مختلف برای پیاده‌سازی الگوریتم‌ها در پروژه‌های خود استفاده کنید
• تحلیل درستی از کارایی الگوریتم‌ها به‌دست آورید و بدانید در چه شرایطی بهترین عملکرد را دارند
• بینش بهتری نسبت به طراحی الگوریتم‌ها و ساختارهای داده‌ای موثر به دست آورید

Algorithms in a Nutshell یک مرجع کاربردی، مفید و به‌روز برای برنامه‌نویسانی است که می‌خواهند الگوریتم‌های قدرتمند را به‌صورت عملی و حرفه‌ای در پروژه‌های واقعی خود به‌کار گیرند—بدون نیاز به پیش‌زمینه سنگین ریاضی.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance.

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.

With this book, you will:

• Solve a particular coding problem or improve on the performance of an existing solution
• Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
• Get algorithmic solutions in C, C++, Java, and Python with implementation tips
• Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
• Discover the impact that similar design decisions have on different algorithms
• Learn advanced data structures to improve the efficiency of algorithms

Table of Contents

Chapter 1: Thinking in Algorithms

Chapter 2: The Mathematics of Algorithms

Chapter 3: Algorithm Building Blocks

Chapter 4: Sorting Algorithms

Chapter 5: Searching

Chapter 6: Graph Algorithms

Chapter 7: Path Finding in AI

Chapter 8: Network Flow Algorithms

Chapter 9: Computational Geometry

Chapter 10: Spatial Tree Structures

Chapter 11: Emerging Algorithm Categories

Chapter 12: Epilogue: Principles of Algorithms

About the Author

George Heineman is an Associate Professor of Computer Science at WPI. His research interests are in Software Engineering. He co-edited the 2001 book "Component-Based Software Engineering: Putting the Pieces Together". He was the Program Chair for the 2005 International Symposium on Component-Based Software Engineering.

Gary Pollice is a self-labeled curmudgeon (that's a crusty, ill- tempered, usually old man) who spent over 35 years in industry trying to figure out what he wanted to be when he grew up. Even though he hasn't grown up yet, he did make the move in 2003 to the hallowed halls of academia where he has been corrupting the minds of the next generation of software developers with radical ideas like, "develop software for your customer, learn how to work as part of a team, design and code quality and elegance and correctness counts, and it's okay to be a nerd as long as you are a great one." Gary is also a co-author of Head First Object-Oriented Analysis and Design.Gary is a Professor of Practice (meaning he had a real job before becoming a professor) at Worcester Polytechnic Institute. He went to WPI because he was so impressed with the WPI graduates that he's worked with over the years. He lives in central Massachusetts with his wife, Vikki, and their two dogs, Aloysius and Ignatius. When not working on geeky things he ... well he's always working on geeky things. You can see what he's up to by visiting his WPI home page at http://web.cs.wpi.edu/~gpollice/. Feel free to drop him a note and complain or cheer about the book.

Stanley Selkow received a BS in Electrical Engineering from Carnegie Institute of Technology in 1965, and then a Ph.D. in the same area from the University of Pennsylvania in 1970. From 1968 to 1970 he was in the Public Health Service at the National Institutes of Health at Bethesda Maryland. Since 1970 he has been on the faculty at universities in Knoxville TN and Worcester MA, as well as Montreal, Chonqing, Lausanne and Paris. His major research has been in graph theory and algorithm design.