Approximation and Optimization: Algorithms, Complexity and Applications, Demetriou Ioannis C., Pardalos Panos M.
Автор: Klaus Jansen; Samir Khuller Название: Approximation Algorithms for Combinatorial Optimization ISBN: 3540679960 ISBN-13(EAN): 9783540679967 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The topics dealt with include design and analysis of approximation algorithms, inapproximibility results, randomization techniques, average-case analysis, scheduling problems, cuts and connectivity, packing and covering, geometric problems, network design, and various applications.
Автор: Arora Rajesh Kumar Название: Optimization: Algorithms and Applications ISBN: 1498721125 ISBN-13(EAN): 9781498721127 Издательство: Taylor&Francis Рейтинг: Цена: 193950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Choose the Correct Solution Method for Your Optimization Problem
Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.
The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures--one of the first optimization books to do so--and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.
The author follows a step-by-step approach to developing the MATLAB(R) codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book's CRC Press web page.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Chandra Chekuri; Klaus Jansen; Jos? D.P. Rolim; Lu Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques ISBN: 3540282394 ISBN-13(EAN): 9783540282396 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.
Автор: Ashish Goel; Klaus Jansen; Jos? Rolim; Ronitt Rubi Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques ISBN: 3540853626 ISBN-13(EAN): 9783540853626 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the joint refereed proceedings of the 11th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomization and Computation, RANDOM 2008, held in Boston, MA, USA, in August 2008. This book reviews 20 revised papers of the APPROX 2008 workshop.
Автор: Irit Dinur; Klaus Jansen; Seffi Naor; Jos? Rolim Название: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques ISBN: 3642036848 ISBN-13(EAN): 9783642036842 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 12th International Workshop APPROX 2009 and 13th International Workshop RANDOM 2009 Berkeley CA USA. .
Автор: Michel Goemans; Klaus Jansen; Jose D.P. Rolim; Luc Название: Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques ISBN: 3540424709 ISBN-13(EAN): 9783540424703 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These are the joint refereed proceedings of the 4th International Workshop on Approximation Algorithms for Optimization Problems, APPROX 2001 and of the 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001.
Автор: Klaus Jansen; Stefano Leonardi; Vijay Vazirani Название: Approximation Algorithms for Combinatorial Optimization ISBN: 3540441867 ISBN-13(EAN): 9783540441861 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Compiled from the proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, this volume contains 20 revised full papers. Coverage includes design and analysis of approximation algorithms, inapproximability results and online problems.
Автор: Dorit Hochbaum; Klaus Jansen; Jose D.P. Rolim; Ali Название: Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques ISBN: 3540663290 ISBN-13(EAN): 9783540663294 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text presents various new results within the areas covered by the workshop.
Автор: Harold Kushner; G. George Yin Название: Stochastic Approximation and Recursive Algorithms and Applications ISBN: 1441918477 ISBN-13(EAN): 9781441918475 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged.
Автор: Panos M. Pardalos Название: Approximation and Complexity in Numerical Optimization ISBN: 1441948295 ISBN-13(EAN): 9781441948298 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: On the other hand, computational complexity, originating from the interactions between computer science and numeri- cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty.
Автор: Jeffrey Humpherys, Tyler J. Jarvis Название: Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization ISBN: 1611976057 ISBN-13(EAN): 9781611976052 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 81090.00 T Наличие на складе: Невозможна поставка. Описание: In this second book of what will be a four-volume series, the authors present, in a mathematically rigorous way, the essential foundations of both the theory and practice of algorithms, approximation, and optimization—essential topics in modern applied and computational mathematics. This material is the introductory framework upon which algorithm analysis, optimization, probability, statistics, machine learning, and control theory are built. This text gives a unified treatment of several topics that do not usually appear together: the theory and analysis of algorithms for mathematicians and data science students; probability and its applications; the theory and applications of approximation, including Fourier series, wavelets, and polynomial approximation; and the theory and practice of optimization, including dynamic optimization.When used in concert with the free supplemental lab materials, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization teaches not only the theory but also the computational practice of modern mathematical methods. Exercises and examples build upon each other in a way that continually reinforces previous ideas, allowing students to retain learned concepts while achieving a greater depth. The mathematically rigorous lab content guides students to technical proficiency and answers the age-old question “When am I going to use this?”This textbook is geared toward advanced undergraduate and beginning graduate students in mathematics, data science, or machine learning.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
