This book covers combinatorial data structures and algorithms, algebraic issues in geometric computing, approximation of curves and surfaces, and computational topology. Each chapter fully details and provides a tutorial introduction to important concepts and results. The focus is on methods which are both well founded mathematically and...

Chapters in the first part address the position of fuzzy systems in control...

Rapid advances in communication, sensing and computational power have led to an explosion of data. The usefulness of this resource for human knowledge is determined by its accessibility and portability, which present fresh challenges to existing techniques in terms of transmission, storage, querying, display and numerical manipulation. As a...

Designing for the web is di!erent than designing for any other medium. The breadth of skills required is sometimes daunting. The depth of experience required, seemingly unobtainable. Yet, the medium attracts designers from all spheres of design practice: from engineering and architecture, to product and graphic design. This chapter aims to...

Taking a practical approach, this modern introduction to the theory of computation focuses on the study of...

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving...

Written by the author of the best-selling E & M text, this text is designed to teach students how to DO quantum mechanics. Part I covers the basic theory; Part II develops approximation schemes and real-world applications. *offers an unusually readable, consistent, and honest discussion of fundamental ideas. *some books allow students to...

This book begins with the basic principles of circuits, derives their analytic properties in both the time and frequency domains, and states and proves the two important theorems. It then develops an algorithmic method to design common and uncommon types of circuits, such as prototype filters, lumped delay lines, constant phase difference...

Rough path analysis provides a fresh perspective on Ito's important theory of stochastic differential equations. Key theorems of modern stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be obtained with dramatic simplifications. Classical...

Prefaces to sets of essays, such as this one, are often devoted to explaining why publication was delayed or why certain planned essays are missing from the completed book. This Preface is an exception. All of the authors met their deadlines — or near to — and they produced a very close approximation to the volume that the editors...

One of the most important and challenging problems in control is the derivation of systematic tools for the computation of controllers for constrained nonlinear systems that can guarantee closed-loop stability, feasibility, and optimality with respect to some performance index. This book focuses on the efficient and systematic computation of...

This volume, produced in three parts, is the Second Edition of Volume 85 of the series, Modern Nonlinear Optics, edited by M.W. Evans and S....