Introduction To Algorithms 4th Edition by Thomas H. Cormen (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 49882
- Number of Pages: 1312
Rs.2,890.00
Rs.3,650.00
Tags: Algorithm Analysis , Algorithm Complexity , Algorithm Development , Algorithm Efficiency , Algorithm Implementation , Algorithm Optimization , Algorithmic Paradigms , Algorithmic Problem Solving , Algorithmic Thinking , Algorithms , Algorithms Thomas H Cormen , best books , Best Selling Books , C++ , Complexity Theory , Computational Complexity , Computational Thinking , Computer Algorithms , Computer Engineering , Computer Programming , Computer Science Applications , Computer Science Basics , Computer Science Concepts , Computer Science Curriculum , Computer Science Education , Computer Science Fundamentals , Computer Science Principles , Computer Science Reference , Computer Science Research , Computer Science Skills. , Computer Science Textbook , Computer Science Theory , Data Analysis , Data Structures , Data Structures and Algorithms , Divide and Conquer , Dynamic Programming , good books , Graph Algorithms , Greedy Algorithms , Introduction to Algorithms , Java , Problem Solving , Programming Languages , Python , Searching Algorithms , Software Engineering , Sorting Algorithms
"Introduction to Algorithms, 4th Edition" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein offers an unparalleled insight into the fundamental principles and techniques underlying the design and analysis of algorithms. From seasoned professionals to eager learners, this comprehensive textbook serves as a cornerstone in computer science education, illuminating the intricate world of algorithms with clarity and depth. With a meticulous balance between theory and application, the authors guide readers through various algorithmic paradigms, empowering them to tackle diverse computational challenges with confidence.
This seminal text begins by laying a robust foundation in algorithmic thinking, elucidating key concepts such as algorithm analysis, data structures, and recursion. It seamlessly progresses towards advanced topics including dynamic programming, graph algorithms, and network flows, unraveling the intricacies of each with lucid explanations and illustrative examples. Through its engaging narrative and hands-on exercises, the book fosters a deep understanding of algorithmic design strategies, equipping readers with the tools to devise efficient solutions to real-world problems. Whether delving into classic algorithms or exploring cutting-edge techniques, "Introduction to Algorithms" remains an indispensable resource for anyone seeking to unravel the mysteries of computational efficiency.
Key Points:
- Comprehensive coverage of algorithmic concepts.
- Clear explanations with illustrative examples.
- Extensive exercises for practice and reinforcement.
- In-depth discussions on both classic and modern algorithms.
- Emphasis on understanding fundamental principles for problem-solving.
════ ⋆★⋆ ═══
Writer ✤ Thomas H. Cormen (Author), Charles E. Leiserson (Author), Ronald L. Rivest (Author), Clifford Stein (Author)