Nouveauté
Mastering Algorithms: A systematic approach to data structures and problem-solving techniques
Par : ,Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- FormatePub
- ISBN978-93-6589-299-4
- EAN9789365892994
- Date de parution31/07/2025
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurBPB Publications
Résumé
DESCRIPTION Algorithms are the foundational language of computing, driving everything from efficient search engines to complex machine learning. Acquiring them is essential for any developer or computer scientist seeking to build high-performance, scalable software. The book explores the fundamental data structures like arrays, stacks, queues, linked lists, hashing, and various trees, as well as binomial and Fibonacci heaps.
With this foundation, you will explore a wide range of sorting and searching algorithms, from simple methods to more advanced techniques like radix sort and exponential search. You will gain a deep understanding of general methods and applications of divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound, each explained with classic examples. By the end of this book, you will possess the knowledge and skills needed to tackle challenges head-on, whether in academia or the ever-evolving landscape of technology.
You will be prepared for the challenges of building robust software in any professional setting. WHAT YOU WILL LEARN? Analyze algorithm and program performance metrics.? Master fundamental data structures for efficiency.? Understand sorting algorithms like quick sort, merge sort.? Explore searching techniques like binary search.? Apply divide and conquer for problem-solving.? Design greedy algorithms for optimization tasks.? Implement graph algorithms for network analysis.
WHO THIS BOOK IS FORThis book is for students, programmers, and coders who have a foundational understanding of programming. Readers should be comfortable with basic syntax and logic to fully engage with the algorithmic concepts and their implementations.
With this foundation, you will explore a wide range of sorting and searching algorithms, from simple methods to more advanced techniques like radix sort and exponential search. You will gain a deep understanding of general methods and applications of divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound, each explained with classic examples. By the end of this book, you will possess the knowledge and skills needed to tackle challenges head-on, whether in academia or the ever-evolving landscape of technology.
You will be prepared for the challenges of building robust software in any professional setting. WHAT YOU WILL LEARN? Analyze algorithm and program performance metrics.? Master fundamental data structures for efficiency.? Understand sorting algorithms like quick sort, merge sort.? Explore searching techniques like binary search.? Apply divide and conquer for problem-solving.? Design greedy algorithms for optimization tasks.? Implement graph algorithms for network analysis.
WHO THIS BOOK IS FORThis book is for students, programmers, and coders who have a foundational understanding of programming. Readers should be comfortable with basic syntax and logic to fully engage with the algorithmic concepts and their implementations.
DESCRIPTION Algorithms are the foundational language of computing, driving everything from efficient search engines to complex machine learning. Acquiring them is essential for any developer or computer scientist seeking to build high-performance, scalable software. The book explores the fundamental data structures like arrays, stacks, queues, linked lists, hashing, and various trees, as well as binomial and Fibonacci heaps.
With this foundation, you will explore a wide range of sorting and searching algorithms, from simple methods to more advanced techniques like radix sort and exponential search. You will gain a deep understanding of general methods and applications of divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound, each explained with classic examples. By the end of this book, you will possess the knowledge and skills needed to tackle challenges head-on, whether in academia or the ever-evolving landscape of technology.
You will be prepared for the challenges of building robust software in any professional setting. WHAT YOU WILL LEARN? Analyze algorithm and program performance metrics.? Master fundamental data structures for efficiency.? Understand sorting algorithms like quick sort, merge sort.? Explore searching techniques like binary search.? Apply divide and conquer for problem-solving.? Design greedy algorithms for optimization tasks.? Implement graph algorithms for network analysis.
WHO THIS BOOK IS FORThis book is for students, programmers, and coders who have a foundational understanding of programming. Readers should be comfortable with basic syntax and logic to fully engage with the algorithmic concepts and their implementations.
With this foundation, you will explore a wide range of sorting and searching algorithms, from simple methods to more advanced techniques like radix sort and exponential search. You will gain a deep understanding of general methods and applications of divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound, each explained with classic examples. By the end of this book, you will possess the knowledge and skills needed to tackle challenges head-on, whether in academia or the ever-evolving landscape of technology.
You will be prepared for the challenges of building robust software in any professional setting. WHAT YOU WILL LEARN? Analyze algorithm and program performance metrics.? Master fundamental data structures for efficiency.? Understand sorting algorithms like quick sort, merge sort.? Explore searching techniques like binary search.? Apply divide and conquer for problem-solving.? Design greedy algorithms for optimization tasks.? Implement graph algorithms for network analysis.
WHO THIS BOOK IS FORThis book is for students, programmers, and coders who have a foundational understanding of programming. Readers should be comfortable with basic syntax and logic to fully engage with the algorithmic concepts and their implementations.