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Categories Free Downloadable Data Structures and Algorithms eBooks! Bookmark and Share
Computer Vision: Algorithms and Applications
As humans, we perceive the three-dimensional structure of the world around us with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem, and what is the current state of the art?

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging and fun consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
Linear Programming: Foundations and Extensions
This book introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Readers will discover a host of practical business applications as well as non-business applications.

Algorithms and Data Structures With Applications to Graphics and Geometry
An introductory coverage of algorithms and data structures with application to graphics and geometry.

Computer Arithmetic of Geometrical Figures. Algorithms and Hardware Design
This book describes various versions of processors, designed for affine transformations of many-dimensional figures � planar and spatial. This processors is oriented to affine transformation of unstructured geometrical figures with arbitrary points distribution. The type of data presentation used in this book is non-conventional, based on a not well-known theory of vectors and geometrical figures coding. The problems of affine transformation are used widely in science and engineering. The examples of their application are computer tomography and data compression for telecommunication systems.

Matters Computational: Ideas, Algorithms, Source Code
This book provides algorithms and ideas for computationalists, whether a working programmer or anyone interested in methods of computation. The focus is on material that does not usually appear in textbooks on algorithms.

Exploring Randomness
The book is devoted to a Lisp formalism for exploring the basic ideas, concepts and results on program-size complexity and random sequences. The book contains a wealth of exercises, ranging from the �mathematical equivalent of finger warm-ups for pianists� to substantial programming projects, from open questions to questions the author cannot even formulate. Highly recommended to anyone interested in understanding algorithmic information theory through programming.

Ant Colony Optimization - Techniques and Applications
Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems.

Fundamental Data Structures
A data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently.

Introduction to Design Analysis of Algorithms
This book was very useful to easily understand the algorithms. This book is having enough examples on every algorithm. It has written for the sake of students to provide complete knowledge on Algorithms.
Solving NP-Complete Problems
This is an on-line textbook on heuristic algorithms. From the table of contents: Classes of Problems; Integer Programming; Enumeration Techniques; Dynamic Programming; Approximate Solutions; Local Optimization; Natural Models.

Think Complexity: Complexity Science and Computational Modeling
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.

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