Kindly note that we have put a lot of effort into researching the best books on Algorithm and Software Tool, Optimization and Graph Theory subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Algorithm and Software Tool, Optimization and Graph Theory" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
1. “Programming Computer Vision with Python: Tools and algorithms for analyzing images” by Jan Erik Solem
“Programming Computer Vision with Python: Tools and algorithms for analyzing images” Book Review: This book introduces tools and algorithms for analysing images. This book gives a basic understanding of vision’s underlying theory. This book covers techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality and other computer vision applications. The book describes computer vision in broad terms and code samples with explanations on how to reproduce along with exercises for practice purposes. This book is beneficial for students, researchers and enthusiasts with basic programming and standard mathematical skills. Techniques used in robot navigation, medical image analysis, image mappings and transforms such as texture warping and panorama creation and 3D reconstructions from several images of the same scene are all discussed in detail. The book explains image retrieval techniques to search for images based on visual content and algorithms to classify image content and recognize objects.


2. “Algorithms and Data Structures: The Basic Toolbox” by Kurt Mehlhorn and Peter Sanders
“Algorithms and Data Structures: The Basic Toolbox” Book Review: This book is suitable for every computer scientist and every professional programmer. This book explains about structures that allow efficient organization and retrieval of data, frequently used algorithms and basic techniques for modeling, understanding and solving algorithmic problems. It acts as a guide for students and professionals familiar with programming and basic mathematical language. This book describes arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees and optimization. Algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms are highlighted in this book. Pictures, words and high level pseudocode are used to explain algorithm and programming languages like C++ and Java. Many exercises, examples and pictures are present in the book. Some theorems and proofs are there in the book to help us solve mathematical problems. Lastly, this book provides generalizations and advanced solutions.


3. “Graph Theory with Applications to Engineering and Computer Science” by Narsingh and Deo  
4. “Introduction to Graph Theory” by West
“Introduction to Graph Theory” Book Review: This book is beneficial for undergraduate or graduate courses in graph theory in departments of mathematics or computer science. The book covers topics on basic algorithms, graph theory, and writing of proofs about the graphs. Various exercises and examples develop an understanding of the structure of graphs and techniques to analyse problems.
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5. “Graph Theory: Modeling, Applications and Algorithms” by Agnarsson
“Graph Theory: Modeling, Applications and Algorithms” Book Review: This book covers discrete mathematics and computer science. It introduces basic concepts, definitions, theorems and examples from graph theory. This book provides key concepts, proof techniques and design and analysis of computer algorithms for solving problems in graph theory. The book also discusses the applications of graph theory.


6. “Graph Theory” by Frank Harary
“Graph Theory” Book Review: This book includes figures to illustrate concepts and results. Theory of graphs are highlighted to clarify the exposition. The book provides diagrams of graphs, directed graphs and trees. The book focuses on theorems rather than algorithms or applications which are mentioned in this book.


7. “Schaum’s Outline of Graph Theory: Including Hundreds of Solved Problems (Schaums’ Outline Series)” by V K Balakrishnan  
8. “Search Engine Optimization (SEO) Secrets” by Danny Dover and Erik Dafforn
“Search Engine Optimization (SEO) Secrets” Book Review: This book introduces search engine optimization (SEO) to create, format and promote web pages which ensures that they are ranked highly for chosen keyword phrases. It reveals secrets used by best SEO consultants. This book takes internet marketing skills to the next level and covers topics on page optimization, offpage optimization, and link building. This book explains how real SEO consultants work with Fortune 500 companies to get the results they desire. The book covers comprehensive site audit, finding seo problems, engine verticals, seo resources and seo conferences.
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9. “Beginning Excel WhatIf Data Analysis Tools: Getting Started with Goal Seek, Data Tables, Scenarios, and Solver” by Paul Cornell
“Beginning Excel WhatIf Data Analysis Tools: Getting Started with Goal Seek, Data Tables, Scenarios, and Solver” Book Review: This book covers what if functions and tools built into excel and business scenarios. The book includes treatment of the solver addin, the goal seeker and the other whatIf scenario analysis tools. The book explains how to get business results by using excel.


10. “Algorithms and Data Structures: The Basic Toolbox” by Kurt Mehlhorn and Peter Sanders
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“Algorithms and Data Structures: The Basic Toolbox” Book Review: This book is suitable for every computer scientist and every professional programmer. This book explains about structures that allow efficient organization and retrieval of data, frequently used algorithms and basic techniques for modeling, understanding and solving algorithmic problems. It acts as a guide for students and professionals familiar with programming and basic mathematical language. This book describes arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees and optimization. Algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms are highlighted in this book. Pictures, words and high level pseudocode are used to explain algorithm and programming languages like C++ and Java. Many exercises, examples and pictures are present in the book. Some theorems and proofs are there in the book to help us solve mathematical problems. Lastly, this book provides generalizations and advanced solutions.


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Sanfoundry Global Education & Learning Series – Best Reference Books!