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Discrete Optimization Algorithms

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Algorithms for Convex Optimization
90 折
出版日:2021/07/31 作者:Nisheeth K. Vishnoi  出版社:Cambridge Univ Pr  裝訂:精裝
In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.
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Optimization Algorithms on Matrix Manifolds
90 折
出版日:2007/12/03 作者:P. A. Absil; R. Mahony; R. Sepulchre  出版社:Princeton Univ Pr  裝訂:精裝
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special
優惠價: 9 4752
庫存:1
Algorithms for Optimization
79 折
出版日:2019/03/12 作者:Mykel J. Kochenderfer; Tim A. Wheeler  出版社:Mit Pr  裝訂:精裝
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on pr
優惠價: 79 4503
無庫存
Discrete Geometry and Optimization
90 折
出版日:2013/05/31 作者:Karoly Bezdek (EDT); Antoine Deza (EDT); Yinyu Ye (EDT)  出版社:Springer Verlag  裝訂:精裝
?Optimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have provided the foundations for many optimization techniques, le
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The Design of Approximation Algorithms
90 折
出版日:2011/04/26 作者:David P. Williamson  出版社:Cambridge Univ Pr  裝訂:精裝
Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses
優惠價: 9 3275
無庫存
無約束最優化與非線性方程的數值方法(簡體書)
滿額折
出版日:2019/12/16 作者:(美)丹尼斯  出版社:科學出版社  裝訂:精裝
This book is a standard for a complete description of the methods for unconstrained optimization and the solution ofnonlinear equations....this republication is most welcome and this volume should be
優惠價: 87 877
庫存:3
Applied Combinatorics, Sixth Edition
66 折
出版日:2012/01/09 作者:Tucker  出版社:John Wiley & Sons Inc  裝訂:精裝
The new 6th edition of Applied Combinatorics builds on the previous editions with more in depth analysis of computer systems in order to help develop proficiency in basic discrete math problem solving
優惠價: 66 7279
庫存:1
Practical Mathematical Optimization ― Basic Optimization Theory and Gradient-based Algorithms
90 折
出版日:2018/05/14 作者:Jan Snyman; Daniel Nicolas Wilke  出版社:Springer Verlag  裝訂:精裝
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to enginee
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Applications of Metaheuristic Optimization Algorithms in Civil Engineering
90 折
出版日:2016/12/16 作者:A. Kaveh  出版社:Springer Verlag  裝訂:精裝
The book presents recently developed efficient meta-heuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be us
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出版日:2014/09/02 作者:M. C. Bhuvaneswari (EDT)  出版社:Springer Verlag  裝訂:精裝
This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the a
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出版日:2008/12/01 作者:Radoslaw Pytlak  出版社:Springer Verlag  裝訂:精裝
This up-to-date book is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. Large part of
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出版日:2006/04/01 作者:H. P. Williams (EDT); Leonidas S. Pitsoulis (EDT); H. paul Williams (EDT)  出版社:Springer Verlag  裝訂:精裝
This book aims to demonstrate and detail the pervasive nature of Discrete Optimization. The handbook couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of disc
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New Optimization Algorithms - In Physics And Computational Science
90 折
出版日:2004/06/11 作者:Hartmann  出版社:John Wiley & Sons Inc  裝訂:精裝
Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such algorithms is steadily increasing, many new algorithms have n
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出版日:1995/07/01 作者:David Aldous; Joel Spencer  出版社:Springer Verlag  裝訂:精裝
Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address
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Artificial Communication
滿額折
出版日:2022/04/05 作者:Elena Esposito  出版社:Mit Pr  裝訂:精裝
A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor
優惠價: 79 839
庫存:2
Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms
75 折
出版日:2013/11/28 作者:Amir Zjajo  出版社:Springer Verlag  裝訂:精裝
One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits.In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise
優惠價: 75 4500
庫存:1
Optimization for Data Analysis
滿額折
出版日:2021/10/31 作者:Stephen J. Wright  出版社:Cambridge Univ Pr  裝訂:精裝
Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found
優惠價: 9 2222
無庫存
Advanced Optimization for Process Systems Engineering
90 折
出版日:2021/04/30 作者:Ignacio E. Grossmann  出版社:Cambridge Univ Pr  裝訂:精裝
Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential
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出版日:2019/07/01 作者:Mingtian Fan; Zuping Zhang  出版社:Academic Pr  裝訂:精裝
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of C
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出版日:2018/03/23 作者:Bernhard Korte; Jens Vygen  出版社:Springer Verlag  裝訂:精裝
This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based
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Sustainable Logistics and Transportation ― Optimization Models and Algorithms
90 折
出版日:2018/01/30 作者:Didem Cinar (EDT); Konstantinos Gakis (EDT); Panos M. Pardalos (EDT)  出版社:Springer Verlag  裝訂:精裝
Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation prob
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Discrete Problems in Nature Inspired Algorithms
90 折
出版日:2017/12/18 作者:Anupam Prof. Shukla and Ritu Tiwari  出版社:CRC Press UK  裝訂:精裝
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes th
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Advanced Optimization by Nature-Inspired Algorithms
90 折
出版日:2017/07/11 作者:Omid Bozorg-Haddad (EDT)  出版社:Springer-Verlag New York Inc  裝訂:精裝
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering,
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Gems of Combinatorial Optimization and Graph Algorithms
90 折
Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a convenient source of relevant, current topics for a gradu
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Stochastic Multi-stage Optimization ― At the Crossroads Between Discrete Time Stochastic Control and Stochastic Programming
90 折
出版日:2015/05/19 作者:Pierre Carpentier; Jean-Philippe Chancelier; Guy Cohen; Michel De Lara  出版社:Springer Verlag  裝訂:精裝
The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the
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出版日:2012/09/14 作者:Muhammet Unal; Ayca Ak; Vedat Topuz; Hasan Erdal  出版社:Springer-Verlag New York Inc  裝訂:精裝
Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased,
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Experimental Methods for the Analysis of Optimization Algorithms
90 折
In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should fol
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Applied Algebra ─ Codes, Ciphers and Discrete Algorithms
90 折
出版日:2009/02/15 作者:Darel W. Hardy; Fred Richman; Carol L. Walker  出版社:新月圖書  裝訂:精裝
Using mathematical tools from number theory and finite fields, Applied Algebra: Codes, Ciphers, and Discrete Algorithms, Second Edition presents practical methods for solving problems in data security
優惠價: 9 1080
無庫存
出版日:2008/05/09 作者:Enrique Alba; Bernabe Dorronsoro  出版社:Springer Verlag  裝訂:精裝
Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validi
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Multi-Objective Optimization Using Evolutionary Algorithms
90 折
出版日:2001/05/22 作者:Deb  出版社:John Wiley & Sons Inc  裝訂:精裝
Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, wh
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The Classic of Poetry
滿額折
出版日:2025/02/01 作者:Edward L. Shaughnessy  出版社:香港中文大學出版社  裝訂:精裝
The Classic of Poetry (Shijing), also known as the “Mao Poetry” (Mao Shi), is the oldest existing collection of poetry in China, or indeed anywhere in the world. As a fountainhead of the Chinese literary tradition, it has endured over two and a half millennia of continuous readership. In this volume, eminent sinologist Edward L. Shaughnessy presents a complete English translation of the 305 discrete poems from the Classic of Poetry, divided into the Feng 風“ Ya 雅“ and Song 頌“ Combining the received text with newly unearthed manuscript discoveries, Shaughnessy offers a modern, authoritative interpretation that departs from the dated translations of earlier scholars. His masterful rendering encapsulates the essence of this poetic treasury, reflecting the diverse aspects of life, love, nature, and ritual in ancient China.--------------------------------------------------------------------------------------------------------------Professor Shaughnessy’s translation of the Classic of Poetry
優惠價: 79 1343
庫存:4
Optimization for Chemical and Biochemical Engineering:Theory, Algorithms, Modeling and Applications
90 折
出版日:2020/09/30 作者:Vassilios S. Vassiliadis  出版社:Cambridge Univ Pr  裝訂:精裝
Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.
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Meta-Heuristic And Evolutionary Algorithms For Engineering Optimization
90 折
出版日:2017/09/29 作者:Bozorg-Haddad  出版社:John Wiley & Sons Inc  裝訂:精裝
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuris
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Evolutionary Computation With Biogeography-Based Optimization
90 折
出版日:2017/01/26 作者:Ma  出版社:John Wiley & Sons Inc  裝訂:精裝
Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO) is an optimization algorithm that is based on the science o
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Decision Diagrams for Optimization
90 折
出版日:2016/10/14 作者:David Bergman; Andre A. Cire; Willem-jan Van Hoeve; John N. Hooker  出版社:Springer-Verlag New York Inc  裝訂:精裝
This book introduces novel methodological approaches to discrete optimization, providing both theoretical insights and algorithmic discoveries which lead to improvements over state-of-the-art technolo
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Grouping Genetic Algorithms ― Advances and Applications
90 折
出版日:2016/10/12 作者:Michael Mutingi; Charles Mbohwa  出版社:Springer-Verlag New York Inc  裝訂:精裝
This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industri
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Search and Optimization by Metaheuristics ― Techniques and Algorithms Inspired by Nature
90 折
出版日:2016/08/02 作者:Ke-lin Du; M. N. S. Swamy  出版社:Birkhauser  裝訂:精裝
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natu
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Reversible and Quantum Circuits ― Optimization and Complexity Analysis
90 折
出版日:2016/06/14 作者:Nabila Abdessaied; Rolf Drechsler  出版社:Springer Verlag  裝訂:精裝
This book presents a new optimization flow for quantum circuits realization. At the reversible level, optimization algorithms are presented to reduce the quantum cost. Then, new mapping approaches to
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Optimization in Chemical Engineering
90 折
出版日:2016/03/11 作者:Suman Dutta  出版社:Cambridge Univ Pr  裝訂:精裝
Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measure the maximum or minimum value of a function depending on the circumstances. This book discusses problem formulation and problem solving with the help of algorithms such as secant method, quasi-Newton method, linear programming and dynamic programming. It also explains important chemical processes such as fluid flow systems, heat exchangers, chemical reactors and distillation systems using solved examples. The book begins by explaining the fundamental concepts followed by an elucidation of various modern techniques including trust-region methods, Levenberg–Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective optimization technique and its applications in chemical engineering and also discusses the theory and applications of various optimization software
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Analyzing Evolutionary Algorithms
90 折
出版日:2012/12/19 作者:Thomas Jansen  出版社:Springer-Verlag New York Inc  裝訂:精裝
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms h
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