Genetic Algorithms for Applied CAD Problems

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many st

This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integrati

MATLAB examples found throughout the bookNumerical simulation helps students understand theory•MATLAB 2.3 shows when connecting wire must be treated as transmission line. The student can see WHY the T-Line model is required, rather than just accepting some minimum length criteria on faith.•In MATLAB example 8.4, a movie is created showing the radiation pattern from a dipole antenna as its length changes.Many homework problems draw on the MATLAB examplesSimulations can point out when ideal theory can be applied to actual situations•In MATLAB problem 2.18, students are asked to compare the field from a segment of charge to the field from an infinite length line of charge. The problem is similar to MATLAB example 2.3, so the programming is not difficult. Students are able to see that theory for an unrealistic infinite line can be put into practice in some situations.Example Problems•Students see the detailed steps needed to solve typical problemsDrill Problems•Simple problems reinforce pr

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems of algebraic equations arising from the discretization of parti

The 20 studies in this collection began as lectures at the French-Chinese Summer Institute on Applied Mathematics, held in September 2008 at Fudan University in China for graduate students, researcher

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering

WEBASSIGN: FINITE MATHEMATICS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES, Twelfth Edition, is fully supported by WebAssign, the powerful online homework and course management system that engages students in learning the math. WebAssign includes new end-of-chapter exercises and pre-built assignments vetted by trusted subject matter experts along with robust course, section, assignment, and question settings and online testing to help instructors foster a deeper understanding of course concepts.CAREFULLY-CRAFTED EXERCISE SETS: SECTION EXERCISE SETS include Self-Check Exercises that let students solve problems and check their work against worked-out solutions, Concept Exercises that let students gauge their understanding, and Exercise Sets with a mix of rote and applied problems. CHAPTER REVIEW EXERCISE SETS include Summary of Principal Formulas and Terms for easy reference, fill-in-the-blank Concept Review questions that reinforce chapter terms and concepts, Review Exercises, and Befo

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems.

Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in

●Thorough analysis and development based on fundamental principles. Students develop understanding of core concepts and learn that the operation of microwave circuits and devices can be explained through the use of circuit theory, Maxwell's equations, and related fundamentals. See Wilkinson divider operation derived from basic circuit and transmission line theory.●Many examples cover both theory and design. Student can see how typical problems are solved, how practical designs are carried out, and how component designs perform. The availability of realistic and thorough examples reinforces subject matter. See Example 7.7 that involves the design of a coupled line coupler on a lossy substrate. The design procedure is illustrated, and the response of the coupler is obtained using a CAD package.●Many problems cover both theory and design. Problems test the student's understanding of the material and offer the opportunity for in-depth design and analysis of practical components. Problems o

Poole’s "Linear Algebra: A Modern Introduction, Cengage International Edition", 5th, prepares students to transition from computational to theoretical mathematics. Balancing theory and application, the conversational writing style combines traditional presentation with student-centered learning. Theoretical, computational and applied topics are presented in a flexible, integrated way. Stressing geometric understanding before computational techniques, vectors and vector geometry are introduced early to help students visualize concepts and develop mathematical maturity for abstract thinking. Numerous applications drawn from a variety of disciplines reinforce that linear algebra is a valuable tool for modeling real-life problems.

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Designed for easy transport and quick reference, Pocket Pediatrics, 4th Edition, provides essential pediatric information for practitioners, residents, interns, and medical students. Part of the popular Pocket Notebook series and edited by Dr. Paritosh Prasad and colleagues at the University of Rochester Medical Center, this fully updated volume provides a concise and focused review of all areas of pediatrics in one easy-to-navigate, pocket-sized notebook. Follows the bestselling, looseleaf Pocket Notebook format, featuring bulleted lists, tables, diagrams, and algorithms that make essential facts easy to find and retain Provides key clinical information about common pediatric problems in primary care, emergency medicine, allergy/immunology, cardiology, pulmonology, gastroenterology, genetics, nephrology, hematology-oncology, infectious diseases, endocrinology, rheumatology, dermatology, and neurology, as well as the well patient and the patient in ICU Contains a new chapter on Complex

The study of complex variables is beautiful from a purely mathematical point of view, and very useful for solving a wide array of problems arising in applications. This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. Based on the authors' extensive teaching experience, it covers topics of keen interest to these students, including ordinary differential equations, as well as Fourier and Laplace transform methods for solving partial differential equations arising in physical applications. Many worked examples, applications, and exercises are included. With this foundation, students can progress beyond the standard course and explore a range of additional topics, including generalized Cauchy theorem, Painlevé equations, computational methods, and conformal mapping with circular arcs. Advanced topics are labeled with an asterisk and can be included in the syllabus

Jack Meredith and Scott Shafer abandon the traditional approach for operations management books and focus on business processes and spreadsheets to solve problems. They provide readers with an applied

●ACTIONABLE AND MEASURABLE LEARNING OBJECTIVES EMPHASIZE IMPORTANT CONCEPTS. Newly added learning objectives guide students through the edition, calling attention to critical key points.●SOLID OVERVIEW PRESENTS BREADTH OF COMPUTER SCIENCE WITHOUT PROGRAMMING LANGUAGE SPECIFICS. The authors expertly present a language-independent, breadth-first introduction to computer science that includes coverage of today's hardware, software, and applications as well as a modern view of ethics.●UNIQUE APPROACH INTEGRATES TOPICS USING THE CONCEPT OF ALGORITHMS. Rather than simply present a large collection of seemingly random and unrelated topics, the authors tie the discipline of computer science together using a six-layer hierarchy that clearly demonstrates how the subjects in the book relate to each other. Student gain a clear understanding of the entire discipline of computer science that prepares them for future study in this field.●EXTENSIVE EXERCISES AND PROBLEMS PROVIDE NUMEROUS OPPORTUNITIES