6 Best Books on Computer Algorithms

We have compiled a list of the Best Reference Books on Computer Algorithms, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Computer Algorithms Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Computer Algorithms below.

 
1."NETLAB: Algorithms for Pattern Recognition (Advances in Computer Vision and Pattern Recognition)" by Ian T Nabney
“NETLAB: Algorithms for Pattern Recognition (Advances in Computer Vision and Pattern Recognition)” Book Review: This book is designed for undergraduates, graduates, and research scholars studying electrical, electronics, embedded systems, and computer engineering. It offers comprehensive tools and knowledge necessary for practical application of neural networks in pattern analysis problems. The toolbox parts are integrated coherently, and it includes descriptions and implementations of standard statistical techniques that serve as benchmarks for evaluating more sophisticated algorithms. The theory is illustrated with ample examples and demonstration programs to aid understanding of the algorithms and their application.

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2."GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)" by Ningchuan Xiao
“GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)” Book Review: The target audience for this book includes undergraduates, graduates, and research scholars in the field of electrical and electronics. It is also suitable for students studying embedded systems and computer engineering. Despite their significance, the critical algorithms utilized in GIS are well-known for being challenging to comprehend and teach, primarily due to the absence of a unified representation. In an effort to solve this problem, GIS Algorithms incorporates a precise and rigorous formal language with illustrative case studies and exercises that are ideal for students. The book covers a wide range of topics, such as Geometric Algorithms, Spatial Indexing, Spatial Analysis, and Modelling.

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3."Computer Algorithms: Introduction to Design and Analysis" by BAASE
“Computer Algorithms: Introduction to Design and Analysis” Book Review: The target audience of this book is undergraduates, graduates, and research scholars of electrical and electronics, embedded systems, and computer engineering. Instead of just presenting the final result, the book focuses on step-by-step algorithm development. It emphasizes the continuous evaluation, modification, and possible rejection of algorithms until a satisfactory solution is obtained. The book provides an extensive coverage of recursion, explaining how it works and why it is a valuable programming technique, and includes a clear and student-friendly review. The book uses a Java-like pseudo code, and an appendix with Java examples is also included.

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4."Fundamental of Computer Algorithms" by Ellis Horowitz
“Fundamentals of Computer Algorithms” Book Review: This book is aimed at undergraduates, graduates, and research scholars of electrical, electronics, embedded systems, and computer engineering. It offers an up-to-date review of intelligent vehicle research, which covers object/obstacle detection, recognition, and vehicle motion control. The book focuses on practical details and bridges theory, algorithms, and hardware and software implementation issues. It provides an introduction to the latest advancements in intelligent vehicle research and proposes a basic framework. The book also includes detection and tracking algorithms for both structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms that use boosted Gabor features. It discusses an approach for multiple sensor-based multiple-object tracking.

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5."Algorithms to Live By: The Computer Science of Human Decisions" by Brian Christian and Tom Griffiths
“Algorithms to Live By: The Computer Science of Human Decisions” Book Review: This book combines computational models with human psychology, providing insights on how to use time, space, and effort more efficiently. It explores the meaningful application of computer algorithms in daily life, offering simple solutions to situations where the question of optimal stopping arises. The “exploit/explore” chapter provides guidance on finding balance between trying new things and enjoying our favourites. Sorting theory teaches us how to organize our offices, while scheduling theory offers strategies for filling our time effectively.

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6."The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" by Pedro Domingos
“The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World” Book Review: The intended audience for this book is postgraduate students of computer engineering, although it may serve as a useful reference for professionals in the field. The book explores the topics of big data and learning algorithms, including how raw data can be transformed into additional algorithms via learning algorithms. Additionally, it covers Pedro Domingos, the master algorithm, and machine learning. The book further examines the impact of machine learning on politics, war, science, and business. With numerous theorem proofs and practical case studies, this book simplifies complex concepts.

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We have put a lot of effort into researching the best books on Computer Algorithms and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Computer Algorithms and will publish the download link here. Fill out this Computer Algorithms books pdf download" request form for download notification.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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