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| lingo solver online: Linear and Integer Optimization Gerard Sierksma, Yori Zwols, 2015-05-01 Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's simplex algorithm, duality, sensitivity analysis, integer optimization models |
| lingo solver online: Global Optimization and Constraint Satisfaction COCOS 200, Christian Bliek, Christophe Jermann, Arnold Neumaier, 2003-11-05 This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Global Constraints Optimization and Costraint Satisfaction, COCOS 2002, held in Valbonne-Sophia Antipolis, France in October 2002. The 15 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers address current issues in global optimization, mathematical programming, and constraint programming; they are grouped in topical sections on optimization, constraint satisfaction, and benchmarking. |
| lingo solver online: Industrial Process Plants Ravi Nath, 2024-02-19 Removing the barriers to the Global Optimization of Plant Utility Systems by providing practical tools and techniques to deal with these unique challenges is the purpose of this book. The operating cost of a typical Plant Utility System of a typical Industrial Production Process Plant is enormous - often in tens if not hundreds of millions of dollars per Annum. With so much money at stake, one would expect that heroic optimization efforts would be made to reduce the operating cost, however such is usually not the case. One reason for this complacency is that Plant Utility Systems are usually cost centers in Process Plants and their operating cost is prorated amongst the various Production Units, so it suffers from what is at times referred to as the tragedy of the commons. Another reason for this complacency is that the Plant Utility System structure is significantly different than that of other Production Units, as for flexibility and safety reasons it has a large spare capacity to meet increased utility demand during startups, shutdowns, and emergencies. The existence of a spare equipment necessitates optimization of discrete decisions, whereby traditional optimization techniques do not readily apply. Part of the problem is that the traditional engineering curriculum primarily emphasizes only one of the many optimization methods, called Non-Linear Programming (NLP). Although NLP can address large classes of optimization problems, it has fairly stringent requirements that all describing relationships (or functions) be continuous and have continuous derivatives. Additionally, in general, NLP only guarantees a local but not the global optimum. Another optimization method is particularly well suited for modeling Plant Utility Systems is called Mixed Integer Linear Programming (MILP). And unlike NLP, MILP methods can guarantee global optimum, which is very reassuring. MILP, however, does impose linearity requirements but as discussed in this book there are techniques to overcome this limitation. |
| lingo solver online: Introduction to Operations Research Mr. Rohit Manglik, 2024-07-30 EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels. |
| lingo solver online: Handbook of Discrete and Combinatorial Mathematics Kenneth H. Rosen, 2017-10-19 Handbook of Discrete and Combinatorial Mathematics provides a comprehensive reference volume for mathematicians, computer scientists, engineers, as well as students and reference librarians. The material is presented so that key information can be located and used quickly and easily. Each chapter includes a glossary. Individual topics are covered in sections and subsections within chapters, each of which is organized into clearly identifiable parts: definitions, facts, and examples. Examples are provided to illustrate some of the key definitions, facts, and algorithms. Some curious and entertaining facts and puzzles are also included. Readers will also find an extensive collection of biographies. This second edition is a major revision. It includes extensive additions and updates. Since the first edition appeared in 1999, many new discoveries have been made and new areas have grown in importance, which are covered in this edition. |
| lingo solver online: Operations and Production Systems with Multiple Objectives Behnam Malakooti, 2014-02-03 The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization Systems engineering is the art and science of designing, engineering, and building complex systems—combining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems. Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles. Operations and Production Systems with Multiple Objectives will teach readers: How operations and production systems are designed and planned How operations and production systems are engineered and optimized How to formulate and solve manufacturing systems problems How to model and solve interdisciplinary and systems engineering problems How to solve decision problems with multiple and conflicting objectives This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing. |
| lingo solver online: Energy Efficient Computation Offloading in Mobile Edge Computing Ying Chen, Ning Zhang, Yuan Wu, Sherman Shen, 2022-10-30 This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions. Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book. |
| lingo solver online: Encyclopedia of Optimization Christodoulos A. Floudas, Panos M. Pardalos, 2008-09-04 The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as Algorithms for Genomics, Optimization and Radiotherapy Treatment Design, and Crew Scheduling. |
| lingo solver online: Modeling Languages in Mathematical Optimization Josef Kallrath, 2013-12-01 This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems. |
| lingo solver online: Financial Modeling of the Equity Market Frank J. Fabozzi, Sergio M. Focardi, Petter N. Kolm, 2006-03-31 An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies. |
| lingo solver online: Modeling Languages in Mathematical Optimization Josef Kallrath, 2004-02-29 This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems. |
| lingo solver online: Modeling and Optimization in Space Engineering Giorgio Fasano, János D. Pintér, 2012-10-23 This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization. The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems – including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space manoeuvres, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization – are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations. Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges. |
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| lingo solver online: Recent Advances in Intelligent Information Systems and Applied Mathematics Oscar Castillo, Dipak Kumar Jana, Debasis Giri, Arif Ahmed, 2020-01-31 This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications. |
| lingo solver online: Artificial Intelligence Algorithm Design for Systems Radek Silhavy, Petr Silhavy, 2024-11-25 This volume delves into the application of Artificial Intelligence within systems and network environments. Highlighted papers investigate the latest in neural network applications, optimisation strategies, and hybrid bio-inspired algorithms. It includes the rigorously reviewed proceedings of the Artificial Intelligence Application in Networks and Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held online in April 2024. |
| lingo solver online: INFORMS Annual Meeting Institute for Operations Research and the Management Sciences. National Meeting, 2009 |
| lingo solver online: Supply Chain Management and Transport Logistics John J Liu, 2011-09-08 The enterprise-focused framework of supply chain, which an overwhelming majority of books on supply chain management (SCM) have adopted, falls short in explaining recent developments in the real world, especially the so-called Wal-Mart model, in which a 'factory' is a virtual logistics network of multiple international manufacturing firms. The book fills the gap and examines supply chain and transport logistics. The book also includes the development of a unified methodological framework which underpins all the characteristics of the interrelationship between supply chain management and logistics. It covers many aspects of the important and innovative developments well. The book offers a unique coverage of integrated logistics of navigation, aviation and transportation. The book not only answers the urgent need for a book on supply chain management and transport logistics but also highlights the central role of supply chain logistics in the emerging fields of sustainable (green), humanitarian and maritime supply chains and the importantance of studying supply chain management together with transport logistics. It also explains the difference between supply chain logistics and manufacturing logistics. It is a useful reference for those in the industry as well as for those taking related courses. |
| lingo solver online: Handbook of Wind Power Systems Panos M. Pardalos, Steffen Rebennack, Mario V. F. Pereira, Niko A. Iliadis, Vijay Pappu, 2014-01-15 Wind power is currently considered as the fastest growing energy resource in the world. Technological advances and government subsidies have contributed in the rapid rise of Wind power systems. The Handbook on Wind Power Systems provides an overview on several aspects of wind power systems and is divided into four sections: optimization problems in wind power generation, grid integration of wind power systems, modeling, control and maintenance of wind facilities and innovative wind energy generation. The chapters are contributed by experts working on different aspects of wind energy generation and conversion. |
| lingo solver online: Input-Output Models for Sustainable Industrial Systems Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos, 2018-09-12 This book addresses the specialized topic of input–output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input–output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input–output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included. |
| lingo solver online: Chemical Production Scheduling Christos Maravelias, 2021-05-06 Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners. |
| lingo solver online: Optimization Modeling with Spreadsheets Kenneth R. Baker, 2012-01-10 Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office® Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science. |
| lingo solver online: Linear Programming and Network Flows Mokhtar S. Bazaraa, John J. Jarvis, Hanif D. Sherali, 2011-08-10 Linear Programming and Network Flows, now in its third edition, addresses the problem of minimizing or maximizing a linear function in the presence of linear equality or inequility constraints. This book: * Provides methods for modeling complex problems via effective algorithms on modern computers. * Presents the general theory and characteristics of optimization problems, along with effective solution algorithms. * Explores linear programming (LP) and network flows, employing polynomial-time algorithms and various specializations of the simplex method. |
| lingo solver online: Mixed Integer Nonlinear Programming Jon Lee, Sven Leyffer, 2011-12-02 Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances. |
| lingo solver online: INFORMS Conference Program Institute for Operations Research and the Management Sciences. National Meeting, 2000 |
| lingo solver online: Applied Integer Programming Der-San Chen, Robert G. Batson, Yu Dang, 2011-09-20 An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an application-oriented approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and discusses the algorithms and associated practices that enable those models to be solved most efficiently. The book begins with coverage of successful applications, systematic modeling procedures, typical model types, transformation of non-MIP models, combinatorial optimization problem models, and automatic preprocessing to obtain a better formulation. Subsequent chapters present algebraic and geometric basic concepts of linear programming theory and network flows needed for understanding integer programming. Finally, the book concludes with classical and modern solution approaches as well as the key components for building an integrated software system capable of solving large-scale integer programming and combinatorial optimization problems. Throughout the book, the authors demonstrate essential concepts through numerous examples and figures. Each new concept or algorithm is accompanied by a numerical example, and, where applicable, graphics are used to draw together diverse problems or approaches into a unified whole. In addition, features of solution approaches found in today's commercial software are identified throughout the book. Thoroughly classroom-tested, Applied Integer Programming is an excellent book for integer programming courses at the upper-undergraduate and graduate levels. It also serves as a well-organized reference for professionals, software developers, and analysts who work in the fields of applied mathematics, computer science, operations research, management science, and engineering and use integer-programming techniques to model and solve real-world optimization problems. |
| lingo solver online: Decision Support Systems and Intelligent Systems Efraim Turban, Jay E. Aronson, Ting-Peng Liang, 2005 Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Todays networked computer systems enable executives to use information in radically new ways, to make dramatically more effective decisions -- and make those decisions more rapidly. Decision Support Systems and Intelligent Systems, Seventh Edition is a comprehensive, up-to-date guide to todays revolutionary management support system technologies, and how they can be used for better decision making. In this thoroughly revised edition, the authors go far beyond traditional decision support systems, focusing far more coverage on Web-enabled tools, performance analysis, knowledge management, and other recent innovations. The authors introduce each significant new technology, show how it works, and offer practical guidance on integrating it into real-world organizations. Examples, products, services, and exercises are presented throughout, and the text has been revised for improved clarity and readability. New and enhanced coverage includes: state-of-the-art data mining, OLAP, expert system, and neural network software; revamped coverage of knowledge management; and a far greater emphasis on the use of Web technologies throughout. Also covered in detail: data warehousing, including access, analysis, visualization, modeling, and support. This edition also contains DSS In Action boxes presenting real business scenarios for the use of advanced management support technology. Decision Support Systems and Intelligent Systems, Seventh Edition is supported by a Web site containing additional readings, relevant links, and other supplements. |
| lingo solver online: Solving Optimization Problems with MATLAB® Dingyü Xue, 2020-04-06 This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided. |
| lingo solver online: Konstruktion und Implementierung eines Optimierungsmodells für den Kombinierten Güterverkehr Adina Silvia Kuhlmann, 2013-07-30 Die vorliegende Arbeit beschäftigt sich mit der formalsprachlichen Konstruktion und computer-gestützten Implementierung eines Optimierungsmodells für den Kombinierten Güterverkehr. Die formalsprachliche mathematische Modellkonstruktion bedient sich Konzepten des Operations Research und beinhaltet eine Zielfunktion mit verschiedenen Nebenbedingungen. Die zu minimierende Zielfunktion ist zunächst unterteilt in eine erste Modellvariante zur Minimierung der Umschlagdauer, bestehend aus den Umschlag- und Wartezeiten. Die zweite Modellvariante besteht in einer Minimierung der Umschlagkosten, die sich aus dem Kraftstoff- und Personalkosten zusammensetzen. Das konstruierte Optimierungsmodell wird im Folgenden mit Hilfe der mathematischen Software LINGO 11.0 implementiert. Anhand von Daten des Duisburg Intermodal Terminals (DIT) erfolgt die Erstellung eines Business Cases, der eine exemplarische Überprüfung der Modellpraktikabilität liefert. |
| lingo solver online: Math for Programmers Paul Orland, 2020-11-30 A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox. - Christopher Haupt, New Relic Explore important mathematical concepts through hands-on coding. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks |
| lingo solver online: Global Supply Chain and Operations Management Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger, 2016-07-20 This textbook presents global supply chain and operations management from a comprehensive perspective, combining value creation networks and interacting processes. It focuses on the operational roles in the networks and presents the quantitative and organizational methods needed to plan and control the material, information and financial flows in the supply chain. Each chapter of the book starts with an introductory case study. Numerous examples from various industries and services help to illustrate the key concepts. The book explains how to design operations and supply networks and how to incorporate suppliers and customers. As matching supply and demand is a core aspect of tactical planning, the book focuses on it before turning to the allocation of resources for fulfilling customer demands. Providing readers with a working knowledge of global supply chain and operations management, this textbook can be used in core, special and advanced classes. Therefore, the book targets a broad range of students and professionals involved with supply chain and operations management. Special focus is directed at bridging theory and practice. |
| lingo solver online: Introduction to Operations Research Frederick S. Hillier, Gerald J. Lieberman, 2010 For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. The ninth edition introduces a new partnership with the Institute for Operations Research and Management (INFORMS). These two pillars of the OR world have come together to showcase some of the award-winning applications of operations research and integrate them with this text. |
| lingo solver online: The New Hacker's Dictionary, third edition Eric S. Raymond, 1996-10-11 This new edition of the hacker's own phenomenally successful lexicon includes more than 100 new entries and updates or revises 200 more. This new edition of the hacker's own phenomenally successful lexicon includes more than 100 new entries and updates or revises 200 more. Historically and etymologically richer than its predecessor, it supplies additional background on existing entries and clarifies the murky origins of several important jargon terms (overturning a few long-standing folk etymologies) while still retaining its high giggle value. Sample definition hacker n. [originally, someone who makes furniture with an axe] 1. A person who enjoys exploring the details of programmable systems and how to stretch their capabilities, as opposed to most users, who prefer to learn only the minimum necessary. 2. One who programs enthusiastically (even obsessively) or who enjoys programming rather than just theorizing about programming. 3. A person capable of appreciating {hack value}. 4. A person who is good at programming quickly. 5. An expert at a particular program, or one who frequently does work using it or on it; as in `a UNIX hacker'. (Definitions 1 through 5 are correlated, and people who fit them congregate.) 6. An expert or enthusiast of any kind. One might be an astronomy hacker, for example. 7. One who enjoys the intellectual challenge of creatively overcoming or circumventing limitations. 8. [deprecated] A malicious meddler who tries to discover sensitive information by poking around. Hence `password hacker', `network hacker'. The correct term is {cracker}. The term 'hacker' also tends to connote membership in the global community defined by the net (see {network, the} and {Internet address}). It also implies that the person described is seen to subscribe to some version of the hacker ethic (see {hacker ethic, the}). It is better to be described as a hacker by others than to describe oneself that way. Hackers consider themselves something of an elite (a meritocracy based on ability), though one to which new members are gladly welcome. There is thus a certain ego satisfaction to be had in identifying yourself as a hacker (but if you claim to be one and are not, you'll quickly be labeled {bogus}). See also {wannabee}. |
| lingo solver online: Praxisorientierte Data Envelopment Analysis Philip Kerpen, 2016-08-22 Im vorliegenden Buch wird ein Rahmen für eine betriebswirtschaftlich getriebene Anwendung und Ausgestaltung der Data Envelopment Analysis (DEA) geschaffen. Philip Kerpens Ziel ist es, die Praxisrelevanz der DEA zu befördern. Die DEA ist eine Methode zur vergleichenden Effizienzmessung von Wirtschaftseinheiten, die sich seit Jahrzehnten in der Wissenschaft großer Beliebtheit erfreut. Dennoch kommt sie in der betriebswirtschaftlichen Praxis bislang nur vereinzelt zum Einsatz. |
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| lingo solver online: The Numbers Behind NUMB3RS Keith Devlin, Gary Lorden, 2007-08-28 The companion to the hit CBS crime series Numb3rs presents the fascinating way mathematics is used to fight real-life crime Using the popular CBS prime-time TV crime series Numb3rs as a springboard, Keith Devlin (known to millions of NPR listeners as the Math Guy on NPR's Weekend Edition with Scott Simon) and Gary Lorden (the principal math advisor to Numb3rs) explain real-life mathematical techniques used by the FBI and other law enforcement agencies to catch and convict criminals. From forensics to counterterrorism, the Riemann hypothesis to image enhancement, solving murders to beating casinos, Devlin and Lorden present compelling cases that illustrate how advanced mathematics can be used in state-of-the-art criminal investigations. |
| lingo solver online: Introduction to Management Science with Spreadsheets William J. Stevenson, Ceyhun Ozgur, 2007 |
| lingo solver online: Fitting Models to Biological Data Using Linear and Nonlinear Regression Harvey Motulsky, Arthur Christopoulos, 2004-05-27 Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists. |
| lingo solver online: Feature Engineering for Machine Learning Alice Zheng, Amanda Casari, 2018-03-23 Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques |
| lingo solver online: Optimization Modelling Ruhul Amin Sarker, Charles Sinclair Newton, 2008 Mathematical modeling is an essential part of most optimization problem-solving processes. To reduce the gap between the solutions obtained from mathematical models and the real-world solutions to practical problems, appropriate modeling techniques must be applied along with efficient solution approaches. Optimization Modelling presents different modeling techniques, illustrated by various examples. A range of well-known theoretical and practical problems are analyzed, and the use of optimization packages is demonstrated for mathematical models. Including numerous case studies, the book also addresses practical aspects and challenges of problem solving and solution implementation. |
| lingo solver online: Linear Programming and Network Flows Mokhtar S. Bazaraa, John J. Jarvis, Hanif D. Sherali, 1990 Table of contents |
Lingo和Matlab在解决最优化问题的时候的优缺点？ - 知乎
lingo不仅能求解线性规划，而且很早就能够求解各种整数规划问题。 但两者最大的区别在于模型的表达不同。 用MATLAB求解线性规划和整数规划问题，需要先将问题转化成如下标准型，其 …
如何用Lingo求解整数线性规划与0-1规划混合问题？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
lingo可以实现并行或多线程计算吗? - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
谁可以将lingo中的for循环解释清楚？ - 知乎
注意到随着 i=1,2,3 变化，这实际上是 3 个式子。 要表示这种多个重复式子，就用到Lingo里的 @for() 函数，首先得告诉它有多少重复的式子，同样只能用声明的（对应的）数组来告诉，这 …
lingo中@sum函数的具体用法有哪些？ - 知乎
lingo中@sum函数的具体用法有哪些？ 看过很多教程 都是给几个例题 现在做题还是不怎么会用 有没有详细的说明用法的教程 显示全部 关注者
如何优雅地使用gams、matlab、AIMMS、LINGO？ - 知乎
以上几个说到底都是程序语言...gams 和matlab用的比较多，aimms只是接触过，lingo就没用过了...拿gams说吧，其他的也能做到类似的效果... 在Windows下GAMS是由GUI界面的，不过这 …
lingo - 知乎
LINGO是Linear Interactive and General Optimizer的缩写，中文名称为“交互式的线性和通用优化求解器”，是由美国LINDO系统公司（Lindo System Inc.）开发的一套专门用于求解最优化问 …
lingo软件中reduced cost 的意义？ - 知乎
sensitivity test里面 reduced cost的意义就是需要这个decision variable的系数减掉多少，这个variable才能加入最佳方案。
请问lingo中的代码11是什么意思？ - 知乎
May 20, 2020 · lingo出错时错误代码含义： 在lingo程序求解时，系统首先会对程序进行编译．系统在编译或执行其他命令时，会因程序中的错误或运行错误，弹出一个出错报告窗口，显示其错 …
怎样用lingo计算两个二维矩阵的乘法？ - 知乎
这样的操作可能在lingo里面不能得到正确结果，而且不太符合lingo的语法特点。 矩阵计算不是lingo强项，它确实提供了一些矩阵计算的函数，但总体上讲，核心思路还是按矩阵乘法的定义 …
Lingo和Matlab在解决最优化问题的时候的优缺点？ - 知乎
lingo不仅能求解线性规划，而且很早就能够求解各种整数规划问题。 但两者最大的区别在于模型的表达不同。 用MATLAB求解线性规划和整数规划问题，需要先将问题转化成如下标准型，其 …
如何用Lingo求解整数线性规划与0-1规划混合问题？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
lingo可以实现并行或多线程计算吗? - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
谁可以将lingo中的for循环解释清楚？ - 知乎
注意到随着 i=1,2,3 变化，这实际上是 3 个式子。 要表示这种多个重复式子，就用到Lingo里的 @for() 函数，首先得告诉它有多少重复的式子，同样只能用声明的（对应的）数组来告诉，这 …
lingo中@sum函数的具体用法有哪些？ - 知乎
lingo中@sum函数的具体用法有哪些？ 看过很多教程 都是给几个例题 现在做题还是不怎么会用 有没有详细的说明用法的教程 显示全部 关注者
如何优雅地使用gams、matlab、AIMMS、LINGO？ - 知乎
以上几个说到底都是程序语言...gams 和matlab用的比较多，aimms只是接触过，lingo就没用过了...拿gams说吧，其他的也能做到类似的效果... 在Windows下GAMS是由GUI界面的，不过这个 …
lingo - 知乎
LINGO是Linear Interactive and General Optimizer的缩写，中文名称为“交互式的线性和通用优化求解器”，是由美国LINDO系统公司（Lindo System Inc.）开发的一套专门用于求解最优化问题 …
lingo软件中reduced cost 的意义？ - 知乎
sensitivity test里面 reduced cost的意义就是需要这个decision variable的系数减掉多少，这个variable才能加入最佳方案。
请问lingo中的代码11是什么意思？ - 知乎
May 20, 2020 · lingo出错时错误代码含义： 在lingo程序求解时，系统首先会对程序进行编译．系统在编译或执行其他命令时，会因程序中的错误或运行错误，弹出一个出错报告窗口，显示其错 …
怎样用lingo计算两个二维矩阵的乘法？ - 知乎
这样的操作可能在lingo里面不能得到正确结果，而且不太符合lingo的语法特点。 矩阵计算不是lingo强项，它确实提供了一些矩阵计算的函数，但总体上讲，核心思路还是按矩阵乘法的定义 …
