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If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge...
This volume contains the papers selected for presentation at IPCO VIII, the Eighth Conference on Integer Programming and Combinatorial Optimization, Utrecht, The Netherlands, 2001. This meeting isa forum for researchers and practitioners working on various aspects of integer programming and combi- torial optimization. The aim is to present recent developments in theory, com- tation, and application of integer programming and combinatorial optimization. Topics include, but are not limited to: approximation algorithms, branch and bound algorithms, computational biology, computational complexity, compu- tional geometry, cutting plane algorithms, diophantine equations, geometry of numbers, graph...
Review of the previous edition: "This powerful book makes many of its points through the use of case studies and examples. Rarely, if ever, has discussion of so wide a variety of approaches to learning been gathered together in a single volume." British Journal of Educational Technology The new edition of this bestselling text provides a comprehensive and accessible introduction to an array of models of teaching and learning. Written in a clear, engaging and accessible style, the authors offer a wide range of teaching strategies that have been developed, polished and studied over the last thirty years. Rather than being formulas to be followed word-for-word, each model draws teachers into th...
For over a decade, there has been an increasing interest in the use of supply chain methods to improve performance across the entire business enterprise. Numerous industries have recognized the importance of efficient supply chain integration, and, as a result, supply chain management has become a standard part of business practice. The Practice of Supply Chain Management: Where Theory and Application Converge is a must-have volume for users of supply chain management methods, supply chain management researchers, and students in supply chain management. The objective of the book is to provide an overview of this important practice-research cycle, and it is organized into three sections: Core Concepts and Practices; Emerging Supply Chain Practices; and Supply Chain in Action. The focus of the book is on supply chain practice, but supply chain practice that has been heavily influenced by supply chain research. It is this synergy between research and practice that continues to simulate new directions for research.
The aim of this book is to provide readers with the tools to understand the historical evolution of terrorism and counterterrorism over the past 150 years. In order to appreciate the contemporary challenges posed by terrorism it is necessary to look at its evolution, at the different phases it has gone through, and the transformations it has experienced. The same applies to the solutions that states have come up with to combat terrorism: the nature of terrorism changes but still it is possible to learn from past experiences even though they are not directly applicable to the present. This book provides a fresh look at the history of terrorism by providing in-depth analysis of several importa...
This book constitutes the refereed proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2002, held in Rome, Italy in September 2002. The 20 revised full papers presented were carefully reviewed and selected from 54 submissions. Among the topics addressed are design and analysis of approximation algorithms, inapproximability results, online problems, randomization techniques, average-case analysis, approximation classes, scheduling problems, routing and flow problems, coloring and partitioning, cuts and connectivity, packing and covering, geometric problems, network design, and applications to game theory and other fields.
Spectrophotometry enables one to determine, with good precision and sensitivity, almost all the elements present in small and trace quantities of any material. The method is particularly useful in the determination of non-metals and allows the determination elements in a large range of concentrations (from single % to low ppm levels) in various materials.In Separation, Preconcentration and Spectrophotometry in Inorganic Analysis, much attention has been paid to separation and preconcentration methods, since they play an essential role in increasing the selectivity and sensitivity of spectrophotometric methods. Separation and preconcentration methods have also been utilised in other determina...
As environmental controls are lagging behind industrial development, metals are an increasing hazard to humans, animal and plant life. Bioaccumulation of metals through the food chain creates a serious impact on public health yet analytical techniques for detecting the often low concentrations of contaminants are poorly understood. Determination of Anions in Natural and Treated Waters draws together the scattered literature and presents in a systematic fashion the latest available analytical techniques for detecting anions in non-saline and saline natural and treated water. Broad outlines of different methods and their applicability in certain situations are given allowing the chemist to choose appropriate test methods.
In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure.
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics. Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the bo...