Approximation of Hints
Title | Approximation of Hints PDF eBook |
Author | M. Vakili |
Publisher | |
Pages | 52 |
Release | 1993 |
Genre | |
ISBN |
Approximation of hints
Title | Approximation of hints PDF eBook |
Author | Mohammad Ali Tabataba Vakili |
Publisher | |
Pages | 139 |
Release | 1995 |
Genre | |
ISBN |
Piecewise Linear Homeomorphisms for Approximation of Invertible Maps
Title | Piecewise Linear Homeomorphisms for Approximation of Invertible Maps PDF eBook |
Author | Richard E. Groff |
Publisher | |
Pages | 314 |
Release | 2003 |
Genre | |
ISBN |
A Guide to Algorithm Design
Title | A Guide to Algorithm Design PDF eBook |
Author | Anne Benoit |
Publisher | CRC Press |
Pages | 380 |
Release | 2013-08-27 |
Genre | Computers |
ISBN | 1439898138 |
Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.
Approximation Theory and Algorithms for Data Analysis
Title | Approximation Theory and Algorithms for Data Analysis PDF eBook |
Author | Armin Iske |
Publisher | Springer |
Pages | 358 |
Release | 2018-12-14 |
Genre | Mathematics |
ISBN | 3030052281 |
This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical algorithms for data analysis plays an important role. The following topics are covered: * least-squares approximation and regularization methods * interpolation by algebraic and trigonometric polynomials * basic results on best approximations * Euclidean approximation * Chebyshev approximation * asymptotic concepts: error estimates and convergence rates * signal approximation by Fourier and wavelet methods * kernel-based multivariate approximation * approximation methods in computerized tomography Providing numerous supporting examples, graphical illustrations, and carefully selected exercises, this textbook is suitable for introductory courses, seminars, and distance learning programs on approximation for undergraduate students.
Similitude and Approximation Theory
Title | Similitude and Approximation Theory PDF eBook |
Author | S.J. Kline |
Publisher | Springer Science & Business Media |
Pages | 246 |
Release | 2012-12-06 |
Genre | Technology & Engineering |
ISBN | 3642616380 |
There are a number of reasons for producing this edition of Simili tude and Approximation Theory. The methodologies developed remain important in many areas of technical work. No other equivalent work has appeared in the two decades since the publication of the first edition. The materials still provide an important increase in understanding for first-year graduate students in engineering and for workers in research and development at an equivalent level. In addition, consulting experiences in a number of industries indi cate that many technical workers in research and development lack knowledge of the methodologies given in this work. This lack makes the work of planning and controlling computations and experiments less efficient in many cases. It also implies that the coordinated grasp of the phenomena (which is so critical to effective research and develop ment work) will be less than it might be. The materials covered in this work focus on the relationship between mathematical models and the physical reality such models are intended v vi Preface to the Springer Edition to portray. Understanding these relationships remains a key factor in simplifying and generalizing correlations, predictions, test programs, and computations. Moreover, as many teachers of engineering know, this kind of understanding is typically harder for students to develop than an understanding of either the mathematics or the physics alone.
Periodic Integral and Pseudodifferential Equations with Numerical Approximation
Title | Periodic Integral and Pseudodifferential Equations with Numerical Approximation PDF eBook |
Author | Jukka Saranen |
Publisher | Springer Science & Business Media |
Pages | 461 |
Release | 2013-03-09 |
Genre | Mathematics |
ISBN | 3662047969 |
An attractive book on the intersection of analysis and numerical analysis, deriving classical boundary integral equations arising from the potential theory and acoustics. This self-contained monograph can be used as a textbook by graduate/postgraduate students. It also contains a lot of carefully chosen exercises.