Introduction Algorithms, First Edition (46 results)

Condition: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.

paperback. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condition: Good. 1ST. Used book that is in clean, average condition without any missing pages.

Hardcover. Condition: Good. First Edition. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Hardcover. Condition: Very Good. 1st edition. 513pp, octavo, tight binding, clean throughout, colorful boards with a thin 3" scratch to back cover, mild spine fade. Undergraduate Texts in Mathematics.

paperback. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condition: Very Good. 1st. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Condition: Very Good. Dust Jacket Condition: Very Good. 203 pages. Hardcover. B/w illustrations throughout. Dust jacket unclipped, every good. Cover boards bound in gray cloth, has some fading at edges. A touch of foxing to top edge. Pages clean, binding tight. In great shape. Describes some of the most interesting research in the field and also enables readers to implement and experiment with generic algorithms of their own. Record # 31596.

Paper. Condition: Very Good. 1st Paperback Edition. very good softcover; an ex-library copy with usual markings; internally pages are white and unmarked; ---------- SATISFACTION GUARANTEED --------- FAST, COURTEOUS SERVICE : ALL ORDERS SHIPPED WITH DELIVERY CONFIRMATION------ Size: 6 x 9". Ex-Library.

Hardcover. Condition: Fine. 1st Edition. 366p, a Fine hardback with pictorial paper-covered boards so no dust-jacket called for [0262024128].

Hardcover. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Condition: Fine. No Jacket. 1st Edition. Paper wrapped hardcover with light green background, Front cover has large pictorial with red, dark green & white print. Spine is dark green with white and light blue print. Previous owner name on front fly leaf. Tight, sound and otherwise unmarked.497 pages including index.

hardcover. 1999 First Edition. 227pp, Fine in Fine dw . Glacier Books are experienced and professional booksellers. We take pride in offering carefully described books and excellent customer service.

Original decorated boards. Condition: Near Fine. First Edition. With diagrams. Former owner's name on front pastedown. Light wear and light bumping to bottom spine. Otherwise in as new condition. ; Octavo; xii, 513 pages.

Hardcover. Condition: Fine. Dust Jacket Condition: Fine. 1st Edition. hardback book and dust jacket in fine condition.

Condition: New. 2023. 1st Edition. paperback. . . . . .

Soft cover. Condition: New. Dust Jacket Condition: New. 1st Edition. Contents: 1. Evolutionary Computation 2. Genetic Algorithms 3. Terminologies and Operators of GA 4. Advanced Operators and Techniques in Genetic Algorithm 5. Classification of Genetic Algorithm 6. Genetic Programming 7. Genetic Algorithm Optimization Problems 8. Genetic Algorithm Implementation Using Matlab 9. Genetic Algorithm Optimization in C/C++ 10. Applications of Genetic Algorithms 11. Introduction to Particle Swarm Optimization and Ant Colony Optimization. Genetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down by Charles Darwin of survival of the fittest. This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied.

Paperback. Condition: New. 1st ed. Special order direct from the distributor.

Soft cover. Condition: New. 1st Edition. US SELLER SHIPS FAST FROM USA.

hardcover. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Condition: Fine. 1st Edition. hardback book in fine condition.

Paperback. Condition: New. 1st ed. Special order direct from the distributor.

Hardcover. Condition: new. Hardcover. An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website. An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: New. 1st Edition. Special order direct from the distributor.

Hardcover. Condition: new. Hardcover. Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms;explain scale-space vision, as well as space reconstruction and multiview integration;demonstrate a variety of practical applications for 3D surface imaging and analysis;provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics. Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering. The complexity of today's information processing requirements, coupled with the availability of powerful computers, have boosted the interest in the study, design, and analysis of parallel algorithms. Introduction to Parallel Algorithms responds to the need in the field for an easy-to-understand text in this growth area of computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.