Genetic Programming Theory and Practice XIX, Trujillo
Автор: Banzhaf Wolfgang, Trujillo Leonardo, Winkler Stephan Название: Genetic Programming Theory and Practice XVIII ISBN: 9811681120 ISBN-13(EAN): 9789811681127 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the ?eld, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Автор: Banzhaf Название: Genetic Programming Theory and Practice XVIII ISBN: 9811681155 ISBN-13(EAN): 9789811681158 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the ?eld, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Автор: Schiesser, William Название: ODE/PDE Analysis of Multiple Myeloma ISBN: 0367495511 ISBN-13(EAN): 9780367495510 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The intent of this book is to present a methodology for the formulation and computer implementation of mathematical models for multiple myeloma, a form of bone cancer. The models are stated as systems of ordinary and partial differential equations (ODE/PDEs).
Автор: Schiesser, William E. Название: Ode/Pde Analysis Of Antibiotic/Antimicrobial Resistance ISBN: 0128240024 ISBN-13(EAN): 9780128240021 Издательство: Elsevier Science Рейтинг: Цена: 22401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Sahidul Islam; Wasim Akram Mandal Название: Fuzzy Geometric Programming Techniques and Applications ISBN: 9811358222 ISBN-13(EAN): 9789811358227 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops the concepts of various unique optimization techniques in the crisp and fuzzy environment. It provides an extensive overview of geometric programming methods within a unifying framework, and presents an in-depth discussion of the modified geometric programming problem, fuzzy geometric programming, as well as new insights into goal geometric programming. With numerous examples and exercises together with detailed solutions for several problems, the book also addresses fuzzy multi-objective geometric programming techniques. Geometric programming, which falls into the general class of signomial problems, has applications across disciplines, from engineering to economics, and is extremely useful in applications of a variety of optimization problems. Organized into thirteen chapters, this book is a valuable resource for graduate and advanced undergraduate students and researchers in applied mathematics and engineering.
Автор: King, Andrew W.p. (postdoctoral Researcher, Division Of Imaging Sciences And Biomedical Engineering, King`s College London, Uk) Aljabar, Paul (divisio Название: Matlab programming for biomedical engineers and scientists ISBN: 0323857736 ISBN-13(EAN): 9780323857734 Издательство: Elsevier Science Рейтинг: Цена: 9255.00 р. Наличие на складе: Нет в наличии.
Описание: Featuring the elegant and fully revised New Revised Standard Version, Updated Edition (NRSVue) text with Apocrypha, the NRSVue Holy Bible with Apocrypha, Premier Collection, delivers a smooth reading experience that complements the translation vetted by an ecumenical group of Christian scholars in a readable and handy personal size.
An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease.
The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases.
For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the spatiotemporal evolution of four populations: susceptibles, untreated and treated infecteds, and recovereds. The requirements of a well-posed PDE model are considered, including the initial and boundary conditions. The terms of the PDEs are explained.
The computer implementation of the model is illustrated with a detailed line-by-line explanation of a system of routines in R (a quality, open-source scientific computing system that is readily available from the Internet). The R routines demonstrate the straightforward numerical solution of a system of nonlinear PDEs by the method of lines (MOL), an established general algorithm for PDEs.
The presentation of the PDE modeling methodology is introductory with a minumum of formal mathematics (no theorems and proofs), and with emphasis on example applications. The intent of the book is to assist in the initial understanding and use of PDE mathematical modeling of communicable diseases, and the explanation and interpretation of the computed model solutions, as illustrated with the influenza model.
Автор: Sukanta Bhattacharjee, Bhargab B. Bhattacharya, Krishnendu Chakrabarty Название: Algorithms for Sample Preparation with Microfluidic Lab-on-Chip ISBN: 8770220557 ISBN-13(EAN): 9788770220552 Издательство: Taylor&Francis Рейтинг: Цена: 14851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent microfluidic technologies have brought a complete paradigm shift in automating biochemical processing on a tiny lab-on-chip (a.k.a. biochip) that replaces expensive and bulky instruments traditionally used in implementing bench-top laboratory protocols. Biochips have already made a profound impact on various application domains such as clinical diagnostics, DNA analysis, genetic engineering, and drug discovery, among others. They are capable of precisely manipulating micro-/pico-liter quantities of fluids, and provide integrated support for mixing, storage, transportation, and sensing, on-chip. In almost all bioprotocols, sample preparation plays an important role, which includes dilution and mixing of several fluids satisfying certain volumetric ratios. However, designing algorithms that minimize reactant-cost and sample-preparation time suited for microfluidic chips poses a great challenge from the perspective of protocol mapping, scheduling, and physical design. Algorithms for Sample Preparation with Microfluidic Lab-on-Chip attempts to bridge the widening gap between biologists and engineers by introducing, from the fundamentals, several state-of-the-art computer-aided-design (CAD) algorithms for sample preparation with digital and flow-based microfluidic biochips. Technical topics discussed in the book include: Basics of digital and flow-based microfluidic lab-on-chip Comprehensive review of state-of-the-art sample preparation algorithms Sample-preparation algorithms for digital microfluidic lab-on-chip Sample-preparation algorithms for flow-based microfluidic lab-on-chip
An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease.
The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases.
For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the spatiotemporal evolution of four populations: susceptibles, untreated and treated infecteds, and recovereds. The requirements of a well-posed PDE model are considered, including the initial and boundary conditions. The terms of the PDEs are explained.
The computer implementation of the model is illustrated with a detailed line-by-line explanation of a system of routines in R (a quality, open-source scientific computing system that is readily available from the Internet). The R routines demonstrate the straightforward numerical solution of a system of nonlinear PDEs by the method of lines (MOL), an established general algorithm for PDEs.
The presentation of the PDE modeling methodology is introductory with a minumum of formal mathematics (no theorems and proofs), and with emphasis on example applications. The intent of the book is to assist in the initial understanding and use of PDE mathematical modeling of communicable diseases, and the explanation and interpretation of the computed model solutions, as illustrated with the influenza model.
Автор: King, Andrew P. Aljabar, Paul Название: Matlab programming for biomedical engineers and scientists ISBN: 012812203X ISBN-13(EAN): 9780128122037 Издательство: Elsevier Science Рейтинг: Цена: 7509.00 р. Наличие на складе: Нет в наличии.
Описание: MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. This book explains the principles of good programming practice, while demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical scientist, and medical researcher with little or no computer programming experience, it is an excellent resource for learning the principles and practice of computer programming using MATLAB. This book enables the reader to:. . Analyze problems and apply structured design methods to produce elegant, efficient and well-structuredprogram designs. Implement a structured program design in MATLAB, making good use of incremental development approaches. Write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types. Write MATLAB code to read in medical data from files and write data to files. Write MATLAB code that is efficient and robust to errors in input data. Write MATLAB code to analyze and visualize medical data, including imaging data. For a firsthand interview with the authors, please visit http://scitechconnect.elsevier.com/matlab-programming-biomedical-engineers-scientists/ . To access student materials, please visit https://www.elsevier.com/books-and-journals/book-companion/9780128122037. To register and access instructor materials, please visit http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780128122037
Описание: Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.
Описание: Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools.
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