Common Surgical Diseases An Algorithmic Approach to Problem Solving, Theodore J. Saclarides, Jonathan A. Myers, Keith
Автор: Myers Название: Common Surgical Diseases ISBN: 0387752455 ISBN-13(EAN): 9780387752457 Издательство: Springer Цена: 4385 р.
Наличие на складе: Есть (1 шт.) Описание: Details common surgical disease in the form of text coupled with a step-by-step algorithm. This book walks the reader through the evaluation, diagnosis, treatment and follow-up of common surgical problems. It includes: Trauma surgery; Abdominal surgery; and, Critical care. It is intended for practicing surgeons and surgical housestaff.
Описание: Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible—clarity is given priority over mathematical formalism. This easily digestible text: Features significant updates that mirror the phenomenal growth of distributed systems Explores new topics related to peer-to-peer and social networks Includes fresh exercises, examples, and case studies Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.
Описание: The success of multimedia information systems to adequately meet the needs of accessing and presenting audio/video information from a large multimedia server, depends heavily on the proper use of storage and retrieval algorithms suitable for this task. This book describes various algorithms from simple to sophisticated: from single user to multiple users, from constant-bit-rate to variable-bit-rate streams, and from singdisk to multiple disks. It emphasises storage and retrieval of video data using magnetic disk systems, thereby concentrating on the fundamental algorithms that underlie these systems and pursuing an elementary mathematical approach. *Provides those new to the subject with the basic principles of the design and analysis of video on demand systems and guides the reader towards a thorough understanding of the field. *Offers an extensive overview of the work that has been carried out in the area of video-on-demand systems. *Comprehensively covers disk scheduling algorithms, ranging from serving a single, constant-bit-rate client to serving multiple, variable-bit-rate clients, using only a single disk. *Guides the reader through associated storage strategies along with a transition to multiple disk systems. This introduces additional degrees of freedom and associated storage strategies. *Concludes with further optimizations in the area of video transmission, covering bit-rate smoothing and near video-on-demand strategies.
Описание: This concise, practical guide is structured to reflect the thought process of the practising pathologist. A key feature is the use of algorithms to aid in reaching the correct diagnosis, for both common and complex bladder tumors and tumor-like lesions. Its coverage of diagnostic criteria is in keeping with international standards and best practice, and the practical layout provides quick access to relevant information, integrating conventional histology, immunohistochemical markers and key clinical knowledge. Topics covered include the full spectrum of pathologic conditions that afflict the bladder and urothelium, as well as the pathology of the renal pelvis, ureter and the urethra. Accompanied by numerous images, this is an essential guide for trainee and practising surgical pathologists, urologists and oncologists.
Автор: Buchmann Johannes, Vollmer Ulrich Название: Binary Quadratic Forms / An Algorithmic Approach ISBN: 3540463674 ISBN-13(EAN): 9783540463672 Издательство: Springer Рейтинг: Цена: 9817 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book deals with algorithmic problems related to binary quadratic forms, such as finding the representations of an integer by a form with integer coefficients, finding the minimum of a form with real coefficients and deciding equivalence of two forms. In order to solve those problems, the book introduces the reader to important areas of number theory such as diophantine equations, reduction theory of quadratic forms, geometry of numbers and algebraic number theory. The book explains applications to cryptography. It requires only basic mathematical knowledge.
Описание: With a set of exercises featured in each chapter, this book provides background information that contains various interprocess communication techniques and middleware services, followed by foundational topics that cover system models, correctness criteria, and proof techniques.
Описание: An overview of the dramatic reorganization in reaction to N. Karmakar`s seminal 1984 paper on algorithmic linear programming in the area of algorithmic differentiable optimization and equation-solving, or, more simply, algorithmic differentiable programming. Aimed at readers familiar with advanced calculus and numerical analysis.
Описание: A study of how complexity questions in computing interact with classical mathematics in the numerical analysis of issues in algorithm design. Algorithmic designers concerned with linear and nonlinear combinatorial optimization will find this volume especially useful.
Описание: The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an useful guide for
graduate students and researchers.Special features included: a simple treatment of Talagrand's inequalities and their applications; an overview and many carefully worked out examples
of the probabilistic analysis of combinatorial algorithms; a discussion of the "exact simulation" algorithm (in the context of Markov Chain Monte Carlo Methods); a general method for
finding asymptotically optimal or near optimal graph colouring, showing how the probabilistic method may be fine-tuned to exploit the structure of the underlying graph; a succinct
treatment of randomized algorithms and derandomization techniques.
Описание: Serves as an introduction for solving differential equations using Lie`s theory and related results. This book covers Loewy`s theory, Janet bases, the theory of continuous groups of a 2-D manifold, Lie`s symmetry analysis, and equivalence problems.
Описание: Genomics and bioinformatics play an increasingly important and transformative role in medicine, society and agriculture. The mapping of the human genome has revealed 35,000 or so genes which might code for more than one protein, resulting in 100,000 proteins for the humans alone. Since proteins are attractive targets for developing drugs, efforts are now underway to map sequences and assign functions to many nov proteins. This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include: Provides a comprehensive introduction to the analysis of protein sequence and structure analysis. Takes an algorithmic approach, relying on computational methods rather than theoretical. Provides an integrated presentation of theory, examples, exercises and applications. Includes coverage of both protein structure, and sequence, analysis. Accessible enough for biologists, yet rigorous enough for computer scientists and mathematicians. Supported by a Web site featuring exercises, solutions, images, and computer programs. Visit this website for exercises with solutions, computer programs, errata and additional material: http://www ii.uib.no/proteinbioinformatics/
Автор: Murty M. Narasimha, Devi Der V. Susheela Название: Pattern Recognition: An Algorithmic Approach ISBN: 9814335452 ISBN-13(EAN): 9789814335454 Издательство: World Scientific Publishing Рейтинг: Цена: 15179 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics — neural networks, support vector machines and decision trees — attributed to the recent vast progress in this field are also dealt with. Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.
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