Algorithms and data structures
Discover the foundational concepts of Algorithms and Data Structures, essential for anyone delving into the realms of computing and software engineering. These resources provide critical insights into problem-solving techniques and data management, appealing to aspiring programmers and seasoned developers alike. A vast array of texts, from introductory guides to advanced analyses, supports the journey of mastering efficient coding and data organization.
Art of Computer Programming, The, Volumes 1-4B, Boxed Set
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The Art of Computer Programming, Volume 4B: Combinatorial Algorithms
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Computer Graphics from Scratch: A Programmer's Introduction to 3D Rendering
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The Recursive Book of Recursion: Ace the Coding Interview with Python and JavaScript
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OCP Oracle Certified Professional Java SE 17 Developer Practice Tests: Exam 1Z0-829
Scott Selikoff, Jeanne Boyarsky
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Modern X86 Assembly Language Programming: Covers X86 64-bit, AVX, AVX2, and AVX-512
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Algorithms of Resistance: The Everyday Fight against Platform Power
Emiliano Trere, Tiziano Bonini
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Art of Computer Programming, Volume 4, Fascicle 7, The: Constraint Satisfaction
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The Satisfiability Problem: Algorithms and Analyses
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Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
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Deep Learning with R, Second Edition
Tomasz Kalinowski, J J Allaire, Francois Chollet
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Quantum Computing for Programmers
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Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
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Algorithms Illuminated: Omnibus Edition
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Data Structures and Algorithms in JavaScript
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Algorithmic Thinking: Learn Algorithms to Level Up Your Coding Skills
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Concrete Mathematics: A Foundation for Computer Science
Donald Knuth, Oren Patashnik, Ronald Graham
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Algorithms in C, Parts 1-5: Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms
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Concrete Mathematics: A Foundation for Computer Science
Donald Knuth, Oren Patashnik, Ronald Graham
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Mathematics of Deep Learning: An Introduction to Foundational Mathematics of Neural Nets
Leonid Berlyand, Pierre-Emmanuel Jabin
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Introduction to Scientific Programming: Computational Problem Solving Using Maple and C
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Data Structures and Algorithms: An Object-Oriented Approach Using Ada 95
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Mathematical Foundations of Computer Science 1995: 20th International Symposium, MFCS95, Prague, Czech Republic, August 28 - September 1, 1995. Proceedings
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Category „Algorithms and data structures“
The world of computer science is built upon the foundations of algorithms and data structures, essential components that enable efficient problem-solving and data management. This category serves as a valuable resource for students, professionals, and enthusiasts in the fields of computing and information technology, offering a comprehensive selection of books that delve into these vital topics.
Understanding algorithms—the step-by-step procedures for calculations, data processing, and automated reasoning—and data structures—the ways in which data is organized and stored—has been a cornerstone of computing since its inception. As technology continues to evolve, the demand for proficient knowledge in these areas only grows, making this category crucial for anyone looking to excel in software engineering and computer programming.
Readers will discover a wealth of benefits from engaging with these texts. By exploring different algorithms, one can gain insights into optimizing performance, enhancing software efficiency, and tackling complex technical challenges. Similarly, familiarity with various data structures allows for better data organization and retrieval, which is imperative in today's data-driven world. Through these books, readers can cultivate their analytical thinking and problem-solving skills, which are indispensable in any tech-related career.
This category features works from esteemed authors and reputable publishers, many of whom are industry leaders and academic experts. Their expertise lends authority to the content, ensuring that readers receive high-quality information that is both up-to-date and relevant. By immersing oneself in the literature available here, individuals can not only better understand fundamental concepts but also stay ahead in the rapidly changing landscape of technology.