introduction to the network approximation method for materials modeling

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Introduction To The Network Approximation Method For Materials Modeling

Author : Leonid Berlyand
ISBN : 9781107028234
Genre : Mathematics
File Size : 62. 48 MB
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Introduces graduate students to the state of the art in this fast-developing field of applied mathematics.

Handbook Of Or Ms Models In Hazardous Materials Transportation

Author : Rajan Batta
ISBN : 9781461467946
Genre : Business & Economics
File Size : 59. 64 MB
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The Pipeline and Hazardous Materials Safety Administration of the U.S. Department of Transportation defines hazardous materials (hazmat) as a substance or material capable of posing an unreasonable risk to health, safety, or property when transported in commerce. Hazmat accidents can result in significant impact to the population (death, injuries) and damage to the environment (destroyed or damaged buildings and infrastructure). Further, hazmat, especially explosive materials, can potentially be used by terrorists to attack civilians or to destroy critical infrastructure. This handbook provides models from Operations Research and Management Science that study various activities involving hazmat transportation: risk assessment, route planning, location decisions, evacuation planning, and emergency planning for terrorist attacks. There are two important research areas in hazmat transportation that are widely studied in the literature: risk assessment and shipment planning. In the risk assessment area, important issues include measurement of accident probabilities and consequences in hazmat transport. Example works in the risk assessment area include modeling risk probability distribution over given areas, considering hazmat types and transport modes, and environmental conditions. The first half of this handbook covers the two fields of risk assessment and shipment planning, while the second half of this handbook provides useful models and insights on other important issues including location problems for undesirable facilities, network interdiction, terrorist attack, and evacuation.

Principles Of Multiscale Modeling

Author : Weinan E
ISBN : 9781107096547
Genre : Mathematics
File Size : 49. 69 MB
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A systematic discussion of the fundamental principles, written by a leading contributor to the field.

Foundations Of Computational Intelligence Volume 5

Author : Ajith Abraham
ISBN : 9783642015359
Genre : Mathematics
File Size : 82. 25 MB
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Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 “Feature Selection for Partial Least Square Based Dimension Red- tion” by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.

Introduction To Materials Modelling

Author : Zoe Barber
ISBN : STANFORD:36105114105591
Genre : Computers
File Size : 63. 8 MB
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Introduction to materials modelling describes the use of computer simulation for the prediction and understanding of the structure and properties of materials. It has been based upon the Materials Modelling Masters course given at the Department of Materials Science and Metallurgy, University of Cambridge, UK, which is aimed particularly at graduate students with a background in any of the physical sciences.

Development Of An Approximate Method For Analyzing Closed Queuing Networks With Multiple Server Stations

Author : Sushanta Sahu
ISBN : 9780549384106
Genre :
File Size : 72. 57 MB
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We develop a simple approximation for analyzing closed queuing networks (CQNs) with multiple-server stations. We use Mean Value Analysis with the Schweitzer-Bard approximation to develop our approximation, which is based on a correction factor that we develop using numerical methods. This correction factor is expressed as a function of station utilization, number of servers, and the service time coefficient of variation.

Linear Network Optimization

Author : Dimitri P. Bertsekas
ISBN : 0262023342
Genre : Business & Economics
File Size : 72. 72 MB
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Large-scale optimization is becoming increasingly important for students and professionals in electrical and industrial engineering, computer science, management science and operations research, and applied mathematics. Linear Network Optimization presents a thorough treatment of classical approaches to network problems such as shortest path, max-flow, assignment, transportation, and minimum cost flow problems. It is the first text to clearly explain important recent algorithms such as auction and relaxation, proposed by the author and others for the solution of these problems. Its coverage of both theory and implementations make it particularly useful as a text for a graduate-level course on network optimization as well as a practical guide to state-of-the-art codes in the field. Bertsekas focuses on the algorithms that have proved successful in practice and provides FORTRAN codes that implement them. The presentation is clear, mathematically rigorous, and economical. Many illustrations, examples, and exercises are included in the text. Dimitri P. Bertsekas is Professor of Electrical Engineering and Computer Science at MIT. Contents: Introduction. Simplex Methods. Dual Ascent Methods. Auction Algorithms. Performance and Comparisons. Appendixes.

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