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Optimization Problems and Their Applications, Eremeev


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Цена: 46570.00T
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Склад Америка: 194 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Eremeev
Название:  Optimization Problems and Their Applications
ISBN: 9783319937991
Издательство: Springer
Классификация:

ISBN-10: 3319937995
Обложка/Формат: Paperback
Страницы: 343
Вес: 0.56 кг.
Дата издания: 2018
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 62 illustrations, black and white; xvi, 333 p. 62 illus.
Размер: 234 x 156 x 19
Читательская аудитория: General (us: trade)
Основная тема: Math Applications in Computer Science
Подзаголовок: 7th International Conference, OPTA 2018, Omsk, Russia, July 8-14, 2018, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes extended, revised and selected papers from the 7th International Conference on Optimization Problems and Their Applications, OPTA 2018, held in Omsk, Russia in July 2018.

Nonlinear Optimization Applications Using the GAMS Technology

Автор: Neculai Andrei
Название: Nonlinear Optimization Applications Using the GAMS Technology
ISBN: 148997959X ISBN-13(EAN): 9781489979599
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book focuses on the nonlinear behavior of thin-wall shells (single- and multilayered with delamination areas) under various uniform and non-uniform loadings, using a numerical approach to analyze branching points and to build bifurcation paths.

Wavelets and their Applications

Автор: Misiti
Название: Wavelets and their Applications
ISBN: 1905209312 ISBN-13(EAN): 9781905209316
Издательство: Wiley
Рейтинг:
Цена: 216430.00 T
Наличие на складе: Поставка под заказ.
Описание: The last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering.

Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning

Автор: Gallier, Jean H (univ Of Pennsylvania, Usa) Quaintance, Jocelyn (univ Of Pennsylvania, Usa)
Название: Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning
ISBN: 9811207712 ISBN-13(EAN): 9789811207716
Издательство: World Scientific Publishing
Рейтинг:
Цена: 95040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.


Combinatorial Optimization and Applications

Автор: Donghyun Kim; R. N. Uma; Alexander Zelikovsky
Название: Combinatorial Optimization and Applications
ISBN: 3030046508 ISBN-13(EAN): 9783030046507
Издательство: Springer
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Цена: 46570.00 T
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Описание: The conference proceeding LNCS 11346 constitutes the refereed proceedings of the 12th International Conference on Combinatorial Optimization and Applications, COCOA 2018, held in Atlanta, GA, USA, in December 2018.The 50 full papers presented were carefully reviewed and selected from 106 submissions. The papers cover most aspects of t graph algorithms, routing and network design problems, scheduling algorithms, network optimization, combinatorial algorithms, approximation algorithms, paths and connectivity problems and much more.

Optimization and Applications

Автор: Yury Evtushenko; Milojica Ja?imovi?; Michael Khach
Название: Optimization and Applications
ISBN: 303010933X ISBN-13(EAN): 9783030109332
Издательство: Springer
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Цена: 85710.00 T
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Optimization and Applications, OPTIMA 2018, held in Petrovac, Montenegro, in October 2018.

The 35 revised full papers and the one short paper presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on mathematical programming; combinatorial and discrete optimization; optimal control; optimization in economy, finance and social sciences; applications.

Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning

Автор: Quaintance Jocelyn, Gallier Jean H
Название: Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning
ISBN: 9811216568 ISBN-13(EAN): 9789811216565
Издательство: World Scientific Publishing
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Цена: 190080.00 T
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Описание: Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with practice by not only carefully discussing the mathematical under pinnings of each optimization technique but by applying these techniques to linear programming, support vector machines (SVM), principal component analysis (PCA), and ridge regression. Volume 2 begins by discussing preliminary concepts of optimization theory such as metric spaces, derivatives, and the Lagrange multiplier technique for finding extrema of real valued functions. The focus then shifts to the special case of optimizing a linear function over a region determined by affine constraints, namely linear programming. Highlights include careful derivations and applications of the simplex algorithm, the dual-simplex algorithm, and the primal-dual algorithm. The theoretical heart of this book is the mathematically rigorous presentation of various nonlinear optimization methods, including but not limited to gradient decent, the Karush-Kuhn-Tucker (KKT) conditions, Lagrangian duality, alternating direction method of multipliers (ADMM), and the kernel method. These methods are carefully applied to hard margin SVM, soft margin SVM, kernel PCA, ridge regression, lasso regression, and elastic-net regression. Matlab programs implementing these methods are included.

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Автор: Gallier Jean H, Quaintance Jocelyn
Название: Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
ISBN: 9811206392 ISBN-13(EAN): 9789811206399
Издательство: World Scientific Publishing
Рейтинг:
Цена: 190080.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.

Optimization and Applications

Автор: Milojica Ja?imovi?; Michael Khachay; Vlasta Malkov
Название: Optimization and Applications
ISBN: 3030386023 ISBN-13(EAN): 9783030386023
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 10th International Conference on Optimization and Applications, OPTIMA 2019, held in Petrovac, Montenegro, in September-October 2019. The 35 revised full papers presented were carefully reviewed and selected from 117 submissions.

Tensor Eigenvalues and their applications.

Автор: Liqun Qi, Haibin Chen, Yannan Chen
Название: Tensor Eigenvalues and their applications.
ISBN: 9811080577 ISBN-13(EAN): 9789811080579
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
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Описание:

This book offers an introduction to applications prompted by tensor analysis, especially by the spectral tensor theory developed in recent years. It covers applications of tensor eigenvalues in multilinear systems, exponential data fitting, tensor complementarity problems, and tensor eigenvalue complementarity problems. It also addresses higher-order diffusion tensor imaging, third-order symmetric and traceless tensors in liquid crystals, piezoelectric tensors, strong ellipticity for elasticity tensors, and higher-order tensors in quantum physics. This book is a valuable reference resource for researchers and graduate students who are interested in applications of tensor eigenvalues.

Optimization Approaches for Solving String Selection Problems

Автор: Elisa Pappalardo; Panos M. Pardalos; Giovanni Stra
Название: Optimization Approaches for Solving String Selection Problems
ISBN: 1461490529 ISBN-13(EAN): 9781461490524
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
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Описание: Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3319138804 ISBN-13(EAN): 9783319138800
Издательство: Springer
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Цена: 158380.00 T
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Описание: Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3319366181 ISBN-13(EAN): 9783319366180
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
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Описание:

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering.

Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few.

This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.



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