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Practical Optimization: Algorithms and Engineering Applications

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Practical Optimization: Algorithms and Engineering Applications

Practical Optimization: Algorithms and Engineering Applications by Andreas Antoniou
English | PDF | 2007 | 675 Pages | ISBN : 0387711066 | 16.6 MB

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field.

Practical Optimization Methods: With Mathematica® Applications

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Practical Optimization Methods: With Mathematica® Applications

Practical Optimization Methods: With Mathematica® Applications by M. Asghar Bhatti
English | PDF | 2000 | 719 Pages | ISBN : 0387986316 | 36.1 MB

The goal of this book is to present basic optimization theory and modern computational algorithms in a concise manner. The book is suitable for un­ dergraduate and graduate students in all branches of engineering, operations research, and management information systems. The book should also be use­ ful for practitioners who are interested in learning optimization and using these techniques on their own.

Executive Guide to Preventing Information Technology Disasters

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Executive Guide to Preventing Information Technology Disasters

Executive Guide to Preventing Information Technology Disasters by Richard Ennals
English | PDF | 1995 | 195 Pages | ISBN : 3540199284 | 26.5 MB

Recent and well-publicised disasters have highlighted the fact that organisations of all kinds - from healthcare to aerospace - are critically dependent on Information Technology systems. The prevention of catastrophic I.T. failure is now an essential part of management.

Asymptotics in Statistics: Some Basic Concepts

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Asymptotics in Statistics: Some Basic Concepts

Asymptotics in Statistics: Some Basic Concepts by Lucien Le Cam
English | PDF | 2000 | 299 Pages | ISBN : 1461270308 | 24.8 MB

by Sara van de Geer. Also, we did not include material due to David Donoho, lain Johnstone, and their school. We found our­ selves unprepared to write a distillate of the material. We did touch briefly on "nonparametrics," but not on "semiparamet­ rics." This is because we feel that the semiparametric situation has not yet been properly structured.

Introduction to Applied Optimization, Third Edition

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Introduction to Applied Optimization, Third Edition

Introduction to Applied Optimization, Third Edition by Urmila M. Diwekar
English | EPUB | 2020 | 379 Pages | ISBN : 3030554031 | 20.8 MB

Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization.

Condition: The Geometry of Numerical Algorithms

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Condition: The Geometry of Numerical Algorithms

Condition: The Geometry of Numerical Algorithms By Peter Bürgisser
English | PDF | 2013 | 567 Pages | ISBN : 3642388957 | 5.07 MB

This book gathers threads that have evolved across different mathematical disciplines into seamless narrative. It deals with condition as a main aspect in the understanding of the performance –-regarding both stability and complexity–- of numerical algorithms. While the role of condition was shaped in the last half-century, so far there has not been a monograph treating this subject in a uniform and systematic way.

Partner Choice and Cooperation in Networks: Theory and Experimental Evidence

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Partner Choice and Cooperation in Networks: Theory and Experimental Evidence

Partner Choice and Cooperation in Networks: Theory and Experimental Evidence by Aljaž Ule
English | PDF | 2008 | 209 Pages | ISBN : 354073015X | 3.16 MB

Cooperation is beneficial but may be hard to achieve in situations where the selfish interests of individuals conflict with their common goal, such as in sharing of goods, help, knowledge or information, in trade and pollution negotiations, and in exploitation of common resources.

Elements of Statistical Disclosure Control

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Elements of Statistical Disclosure Control

Elements of Statistical Disclosure Control by Leon Willenborg
English | PDF | 2001 | 273 Pages | ISBN : 0387951210 | 25.59 MB

Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area. It deals with both microdata (individual data) and tabular (aggregated) data.

Statistical Analysis of Management Data

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Statistical Analysis of Management Data

Statistical Analysis of Management Data by Hubert Gatignon
English | PDF,EPUB | 2010 | 396 Pages | ISBN : 144191269X | 14.3 MB

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications.

Introduction to Nonlinear and Global Optimization (Repost)

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Introduction to Nonlinear and Global Optimization (Repost)

Introduction to Nonlinear and Global Optimization by Eligius M.T. Hendrix
English | PDF | 2010 | 218 Pages | ISBN : 0387886699 | 3.34 MB

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions.

Numerical Simulation in Molecular Dynamics: Numerics, Algorithms, Parallelization, Applications

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Numerical Simulation in Molecular Dynamics: Numerics, Algorithms, Parallelization, Applications

Numerical Simulation in Molecular Dynamics: Numerics, Algorithms, Parallelization, Applications by Michael Griebel
English | PDF | 2007 | 472 Pages | ISBN : 3540680942 | 8.85 MB

Particle models play an important role in many applications in physics, chemistry and biology. They can be studied on the computer with the help of molecular dynamics simulations. This book presents in detail both the necessary numerical methods and techniques (linked-cell method, SPME-method, tree codes, multipole technique) and the theoretical background and foundations.

Knapsack Problems

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Knapsack Problems

Knapsack Problems by Hans Kellerer
Deutsch | PDF | 2004 | 557 Pages | ISBN : 3540402861 | 48.42 MB

Thirteen years have passed since the seminal book on knapsack problems by Martello and Toth appeared. On this occasion a former colleague exclaimed back in 1990: "How can you write 250 pages on the knapsack problem?" Indeed, the definition of the knapsack problem is easily understood even by a non-expert who will not suspect the presence of challenging research topics in this area at the first glance.

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

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Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications by Jonas Mockus
English | PDF | 1997 | 394 Pages | ISBN : 0792343271 | 23.92 MB

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy.

Stochastic Approximation and Recursive Algorithms and Applications, Second Edition (Repost)

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Stochastic Approximation and Recursive Algorithms and Applications, Second Edition (Repost)

Stochastic Approximation and Recursive Algorithms and Applications, Second Edition by Harold J. Kushner
English | PDF | 2003 | 485 Pages | ISBN : 1441918477 | 4.65 MB

This revised and expanded second edition presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. There is a complete development of both probability one and weak convergence methods for very general noise processes. The proofs of convergence use the ODE method, the most powerful to date. The assumptions and proof methods are designed to cover the needs of recent applications.

Discrete Mathematics in Statistical Physics: Introductory Lectures (Repost)

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Discrete Mathematics in Statistical Physics: Introductory Lectures (Repost)

Discrete Mathematics in Statistical Physics: Introductory Lectures by Martin Loebl
English | PDF | 2010 | 187 Pages | ISBN : 3528032197 | 1.52 MB

The book first describes connections between some basic problems and technics of combinatorics and statistical physics. The discrete mathematics and physics terminology are related to each other. Using the established connections, some exciting activities in one field are shown from a perspective of the other field. The purpose of the book is to emphasize these interactions as a strong and successful tool. In fact, this attitude has been a strong trend in both research communities recently.