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| sample investment problem with solution: Prealgebra Lynn Marecek, MaryAnne Anthony-Smith, 2015-09-25 Prealgebra is designed to meet scope and sequence requirements for a one-semester prealgebra course. The text introduces the fundamental concepts of algebra while addressing the needs of students with diverse backgrounds and learning styles. Each topic builds upon previously developed material to demonstrate the cohesiveness and structure of mathematics. Prealgebra follows a nontraditional approach in its presentation of content. The beginning, in particular, is presented as a sequence of small steps so that students gain confidence in their ability to succeed in the course. The order of topics was carefully planned to emphasize the logical progression throughout the course and to facilitate a thorough understanding of each concept. As new ideas are presented, they are explicitly related to previous topics.--BC Campus website. |
| sample investment problem with solution: Information Technology Investment Marc J. Schniederjans, Jamie L. Hamaker, Ashlyn M. Schniederjans, 2010 From the individual to the largest organization, everyone today has to make investments in IT. Making a smart investment that will best satisfy all the necessary decision-making criteria requires careful and inclusive analysis. This textbook provides an up-to-date, in-depth understanding of the methodologies available to aid in this complex process of multi-criteria decision-making. It guides readers on the process of technology acquisition ? what methods to use to make IT investment decisions, how to choose the technology and justify its selection, and how the decision will impact the organization.Unique to this textbook are both financial investment models and more complex decision-making models from the field of management science so that readers can extend the analysis benefits to enhance and confirm their IT investment choices. The wide range of methodologies featured in the book gives readers the opportunity to customize their best-fit solutions for their unique IT decision situation. This textbook is especially ideal for educators and students involved in programs dealing with technology management, operations management, applied finance, operations research, and industrial engineering.A complimentary copy of the ?Instructor's Manual and Test Bank? and the PowerPoint presentations of the text materials are available for all instructors who adopt this book as a course text. Please send your request to sales@wspc.com. |
| sample investment problem with solution: Information Technology Investment Marc J. Schniederjans, Jamie L. Hamaker, Ashlyn M. Schniederjans, 2004 From the individual to the largest organization, everyone today has to make investments in information technology. Making a good investment that will best satisfy all the necessary decision criteria requires a careful and inclusive analysis. Information Technology Investment: Decision-Making Methodology is a textbook that will provide the understanding of methodologies available to aid in this area of complex, multi-criterion decision-making. It presents a detailed, step-by-step set of procedures and methodologies that readers can use immediately to improve their IT investment decision-making. Unique to this textbook are both financial investment models and more complex decision-making models from management science, so users can extend the analysis benefits to confirm and enhance the ideal IT investment choices. |
| sample investment problem with solution: Risk and Portfolio Analysis Henrik Hult, Filip Lindskog, Ola Hammarlid, Carl Johan Rehn, 2012-07-20 Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for making investment and risk management decisions in the presence of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They use rigorous, yet elementary mathematics, avoiding technically advanced approaches which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedging of derivative contracts, investment and hedging principles from portfolio theory, and risk measurement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examples that illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics and probability. |
| sample investment problem with solution: SIE Math and Formulas Simplified Arkansas Deveraux Vaughan, Tristan Darra Mooney , SIE Math and Formulas Simplified: The No-Nonsense Guide to Financial Mathematics Master the essential mathematical concepts required for success in the Securities Industry Essentials (SIE) exam with this clear, practical guide. Unlike conventional textbooks that overwhelm readers with abstract theory, this comprehensive resource breaks down complex financial formulas into understandable steps with real-world applications. Perfect for aspiring financial professionals, students preparing for the SIE exam, and industry veterans seeking a refresher, this book transforms intimidating equations into practical tools you'll use throughout your career. From time value of money calculations to portfolio theory, option pricing, and breakeven analysis, each concept is explained in straightforward language with numerous examples and practice problems. Key features include: 100+ practice problems with detailed step-by-step solutions Quick-reference formula guide organized by topic Clear explanations of when and how to apply each formula Common pitfalls and shortcuts highlighted throughout Real-world scenarios demonstrating practical applications Comprehensive glossary of mathematical terminology Calculator guides for efficient problem-solving The direct, no-nonsense approach cuts through confusion and builds genuine competence rather than mere formula memorization. Readers will develop the confidence to tackle any financial calculation, make sound investment decisions, and excel on the SIE exam. Written by experienced financial educators Tristan Darra Mooney and Arkansas Deveraux Vaughan, this accessible guide makes financial mathematics approachable for everyone—even those who consider themselves not math people. Stop avoiding financial calculations and start mastering them today! |
| sample investment problem with solution: The Mathematics of Investment William L. Hart, 2022-10-27 This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. |
| sample investment problem with solution: Alternative Investments H. Kent Baker, Greg Filbeck, 2013-03-25 A comprehensive guide to alternative investments that reveals today's latest research and strategies Historically low interest rates and bear markets in world stock markets have generated intense interest in alternative investments. With returns in traditional investment vehicles relatively low, many professional investors view alternative investments as a means of meeting their return objectives. Alternative Investments: Instruments, Performance, Benchmarks, and Strategies, can put you in a better position to achieve this difficult goal. Part of the Robert W. Kolb Series in Finance, Alternative Investments provides an in-depth discussion of the historic performance, benchmarks, and strategies of every major alternative investment market. With contributions from professionals and academics around the world, it offers valuable insights on the latest trends, research, and thinking in each major area. Empirical evidence about each type of alternative investment is featured, with research presented in a straightforward manner. Examines a variety of major alternative asset classes, from real estate, private equity, and commodities to managed futures, hedge funds, and distressed securities Provides detailed insights on the latest research and strategies, and offers a thorough explanation of historical performance, benchmarks, and other critical information Blends knowledge from the conceptual world of scholars with the pragmatic view of practitioners in this field Alternative investments provide a means of diversification, risk control, and return enhancement and, as such, are attractive to many professional investors. If you're looking for an effective way to hone your skills in this dynamic area of finance, look no further than this book. |
| sample investment problem with solution: Posing and Solving Mathematical Problems Patricio Felmer, Erkki Pehkonen, Jeremy Kilpatrick, 2016-04-29 This book collects recent research on posing and solving mathematical problems. Rather than treating these two crucial aspects of school mathematics as separate areas of study, the authors approach them as a unit where both areas are measured on equal grounds in relation to each other. The contributors are from a vast variety of countries and with a wide range of experience; it includes the work from many of the leading researchers in the area and an important number of young researchers. The book is divided in three parts, one directed to new research perspectives and the other two directed to teachers and students, respectively. |
| sample investment problem with solution: Value of Information for Healthcare Decision-Making Anna Heath, Natalia Kunst, Christopher Jackson, 2024-02-08 Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research. These methods, and their use in cost-effectiveness analysis, are increasingly acknowledged by health technology assessment authorities as vital. Key Features: Provides a comprehensive overview of VOI Simplifies VOI Showcases state-of-the-art techniques for computing VOI Includes R statistical software package Provides results when using VOI methods Uses realistic decision model to illustrate key concepts The primary audience for this book is health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in health economic evaluations. It is relevant for postgraduate researchers and students in health economics or medical statistics who are required to learn the principles of VOI or undertake VOI analyses in their projects. The overall goal is to improve the understanding of these methods and make them easier to use. |
| sample investment problem with solution: Wiley CPA Examination Review 2005-2006, Problems and Solutions Patrick R. Delaney, O. Ray Whittington, 2005-07-01 Wiley CPA Exam review 32nd Edition 2005--2006 Volume 1 Outlines and Study Guides * Covers all four sections of the CPA examination point by point * Stresses important topical areas to study for each part * Helps establish a self-study preparation program * Divides exam into 45 manageable study units * Provides an outline format supplemented by brief examples and illustrations * Makes material easy to read, understand, and remember * Includes timely, up-to-the-minute coverage for the computerized exam * Explains step-by-step examples of the solutions approach * Contains all current AICPA content requirements for all four sections of the exam Volume 2 Problems and Solutions * Offers selected problems from all four examination sections * Contains rationale for correct or incorrect multiple-choice answers * Covers the new simulation-style problems-offering more than 75 practice questions * Details a solutions approach to each problem * Updates unofficial answers to reflect current laws and standards * Groups multiple-choice questions into topical categories within modules for easy cross-referencing * Provides a sample examination for each of the four exam parts The computer-based CPA exam is here! Are you ready? GET EVEN MORE INFORMATION ONLINE: You'll find a wide range of aids for doing your best on the CPA exam at wiley.com/cpa, including content updates, CPA exam study and test-taking tips, and more. All Wiley CPA Exam Review products are listed on the site. |
| sample investment problem with solution: Risk Modeling, Analysis and Control of Multi-energy Systems Yonghua Song, Yi Ding, Minglei Bao, Sheng Wang, Changzheng Shao, 2023-06-08 This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc. |
| sample investment problem with solution: NBS Special Publication , 1979 |
| sample investment problem with solution: National Bureau of Standards Handbook , 1980 |
| sample investment problem with solution: Life-cycle Costing Manual for the Federal Energy Management Program Rosalie T. Ruegg, 1987 |
| sample investment problem with solution: NBS Handbook United States. National Bureau of Standards, 1987 |
| sample investment problem with solution: Liner Ship Fleet Planning Tingsong Wang, Shuaian Wang, Qiang Meng, 2017-05-18 Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development. Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments. - Introduces the latest research on maritime transportation problems - Analyzes problems of liner ship fleet planning, taking uncertainty into account - Promotes the use of mathematics to manage uncertainty, using stochastic programming models, and proposing solution algorithms to solve proposed models - Includes case studies that provide detailed examples of real-world examples of fleet optimization - Explains how stochastic programming modeling methods and solution algorithms can be applied to other research fields featuring uncertainty, such as container yard planning, berth allocation and vehicle deployment problems |
| sample investment problem with solution: Big C++ Cay S. Horstmann, 2020-08-04 Big C++: Late Objects, 3rd Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. This text requires no prior programming experience and only a modest amount of high school algebra. It provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become competent coders. The second half covers algorithms and data structures at a level suitable for beginning students. Horstmann and Budd combine their professional and academic experience to guide the student from the basics to more advanced topics and contemporary applications such as GUIs and XML programming. More than a reference, Big C++ provides well-developed exercises, examples, and case studies that engage students in the details of useful C++ applications. Choosing the enhanced eText format allows students to develop their coding skills using targeted, progressive interactivities designed to integrate with the eText. All sections include built-in activities, open-ended review exercises, programming exercises, and projects to help students practice programming and build confidence. These activities go far beyond simplistic multiple-choice questions and animations. They have been designed to guide students along a learning path for mastering the complexities of programming. Students demonstrate comprehension of programming structures, then practice programming with simple steps in scaffolded settings, and finally write complete, automatically graded programs. The perpetual access VitalSource Enhanced eText, when integrated with your school’s learning management system, provides the capability to monitor student progress in VitalSource SCORECenter and track grades for homework or participation. *Enhanced eText and interactive functionality available through select vendors and may require LMS integration approval for SCORECenter. |
| sample investment problem with solution: Brief C++ Cay S. Horstmann, 2017-12-18 Brief C++: Late Objects provides an introduction to C++ and computer programming that focuses on the essentials and on effective learning. It is suitable for a one-semester introduction to C++ programming for students in computer science, engineering, technology, and the physical sciences. The title requires no prior programming experience and takes a traditional route, first stressing control structures, procedural decomposition and array algorithms. Objects are used where appropriate in early sections of the program. Students begin designing and implementing their own classes in Section 9. All sections include many different forms of guidance to help students build confidence and tackle the task at hand, including Self Check and Practice activities along with end-of-section Review Exercises, Practice Exercises and Programming Projects. The Enhanced E-Text is also available bundled with an abridged print companion and can be ordered by contacting customer service here: ISBN: 9781119455639 Price: $81.95 Canadian Price: $91.50 |
| sample investment problem with solution: Modern Optimisation Techniques in Power Systems Yong-Hua Song, 2013-03-14 The electric power industry is currently undergoing an unprecedented reform. The deregulation of electricity supply industry has introduced new opportunity for competition to reduce the cost and cut the price. It is a tremendous challenge for utilities to maintain an economical and reliable supply of electricity in such an environment. Faced by an increasingly complicated existence, power utilities need efficient tools and aids to ensure that electrical energy of the desired quality can be provided at the lowest cost. The overall objective, both for short-term and long-term operations, is then to find the best compromise between the requirements of security and economy. That is, effective tools are urgently required to solve highly constrained optimisation problems. In recent years, several major modem optimisation techniques have been applied to power systems. A large number of papers and reports have been published. In this respect, it is timely to edit a book on this topic with an aim to report the state of the art development internationally in this area. |
| sample investment problem with solution: Nonlinear Investing: A Quantamental Approach Lingjie Ma, 2025-01-10 This book focuses on nonlinear investing with a quantamental approach. Pricing relationships in financial markets are often nonlinear, which raises serious questions for portfolio management: How can we characterize nonlinear patterns in asset pricing? Why do such nonlinear patterns occur and in what contexts? How can we know whether such relationships will persist in the future? And how much is the value added by a nonlinear over a linear model? These questions cannot be answered by piecing together fundamental prospects based on personal experience and preference, which can be biased, or by torturing the data to make it confess whatever we want (particularly big data, which allows more freedom for data mining). Rather, nonlinear investing should rely on both fundamental insights and quantitative analysis: the former ensures that similar nonlinear patterns will occur in the future and the latter validates the nonlinear pattern with historical data. In this way, quant marries fundamental: a quantamental approach! The book provides a systematic guide to conducting nonlinear investing through quantamental analysis. The author demonstrates how nonlinear investment strategies, achieving both depth and breadth, add significant value to portfolio performance for different asset classes. The primary audience for this book is senior professional investors and quant/fundamental investment shops who look for new ideas to enhance their existing products or develop new products. The book will also be helpful to finance faculty and graduate students who are interested in frontier industry practices. |
| sample investment problem with solution: Simplified Energy Design Economics Harold E.. Marshall, Rosalie T.. Ruegg, 1980 |
| sample investment problem with solution: Big Java Cay S. Horstmann, 2019-08-06 Big Java: Early Objects, 7th Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. This text requires no prior programming experience and only a modest amount of high school algebra. Objects and classes from the standard library are used where appropriate in early sections with coverage on object-oriented design starting in Chapter 8. This gradual approach allows students to use objects throughout their study of the core algorithmic topics, without teaching bad habits that must be un-learned later. The second half covers algorithms and data structures at a level suitable for beginning students. Choosing the enhanced eText format allows students to develop their coding skills using targeted, progressive interactivities designed to integrate with the eText. All sections include built-in activities, open-ended review exercises, programming exercises, and projects to help students practice programming and build confidence. These activities go far beyond simplistic multiple-choice questions and animations. They have been designed to guide students along a learning path for mastering the complexities of programming. Students demonstrate comprehension of programming structures, then practice programming with simple steps in scaffolded settings, and finally write complete, automatically graded programs. The perpetual access VitalSource Enhanced eText, when integrated with your school's learning management system, provides the capability to monitor student progress in VitalSource SCORECenter and track grades for homework or participation. *Enhanced eText and interactive functionality available through select vendors and may require LMS integration approval for SCORECenter. |
| sample investment problem with solution: Brief Java Cay S. Horstmann, 2019-04-26 Brief Java: Early Objects, 9th Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. This text requires no prior programming experience and only a modest amount of high school algebra. Objects and classes from the standard library are used where appropriate in early sections with coverage on object-oriented design starting in Chapter 8. This gradual approach allows students to use objects throughout their study of the core algorithmic topics, without teaching bad habits that must be un-learned later. Choosing the enhanced eText format allows students to develop their coding skills using targeted, progressive interactivities designed to integrate with the eText. All sections include built-in activities, open-ended review exercises, programming exercises, and projects to help students practice programming and build confidence. These activities go far beyond simplistic multiple-choice questions and animations. They have been designed to guide students along a learning path for mastering the complexities of programming. Students demonstrate comprehension of programming structures, then practice programming with simple steps in scaffolded settings, and finally write complete, automatically graded programs. The perpetual access VitalSource Enhanced eText, when integrated with your school’s learning management system, provides the capability to monitor student progress in VitalSource SCORECenter and track grades for homework or participation. Enhanced eText and interactive functionality available through select vendors and may require LMS integration approval for SCORECenter. |
| sample investment problem with solution: Investment under Uncertainty Robert K. Dixit, Robert S. Pindyck, 2012-07-14 How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems. |
| sample investment problem with solution: Rules of Thumb for Chemical Engineers Stephen Hall, 2017-10-30 Rules of Thumb for Chemical Engineers, Sixth Edition, is the most complete guide for chemical and process engineers who need reliable and authoritative solutions to on-the-job problems. The text is comprehensively revised and updated with new data and formulas. The book helps solve process design problems quickly, accurately and safely, with hundreds of common sense techniques, shortcuts and calculations. Its concise sections detail the steps needed to answer critical design questions and challenges. The book discusses physical properties for proprietary materials, pharmaceutical and biopharmaceutical sector heuristics, process design, closed-loop heat transfer systems, heat exchangers, packed columns and structured packings. This book will help you: save time you no longer have to spend on theory or derivations; improve accuracy by exploiting well tested and accepted methods culled from industry experts; and save money by reducing reliance on consultants. The book brings together solutions, information and work-arounds from engineers in the process industry. - Includes new chapters on biotechnology and filtration - Incorporates additional tables with typical values and new calculations - Features supporting data for selecting and specifying heat transfer equipment |
| sample investment problem with solution: Time Briton Hadden, Henry Robinson Luce, 1929 |
| sample investment problem with solution: Market Research Best Practice ESOMAR, 2009-08-27 Market Research Best Practice is a compilation of the best discussion papers, case studies and methodologies from the ESOMAR publishing and event programme over the last decade and more. Market research is adapting to an increasingly competitive, demanding and globalised business world and, as the world's leading market research organisation, ESOMAR is providing the platform to showcase latest advances and best practice. In the pursuit to define and illustrate 'new' market research, this book provides a unique source of ideas and practical examples of what research has to offer business and how research can influence the way results are tracked, insights are generated and ultimately decisions are made. Market Research Best Practice draws on recent successes to explore how research is evolving to meet market needs and how good research practice fits into modern business. More than 50 authors have contributed their work to this collection - all papers were first presented at ESOMAR events and many contributions have been past ESOMAR award winners. To find out more about the ESOMAR Membership, the worldwide code of practice and the range of events and publications, visit www.esomar.org. |
| sample investment problem with solution: STORM Hamilton Emmons, 1986 |
| sample investment problem with solution: Water Supply and Distribution Systems Dragan A Savic, John K Banyard, 2024-10-25 Water Supply and Distribution Systems, Second edition is a comprehensive introduction to the topic of how water is delivered to homes and businesses throughout the world. It covers fundamental concepts and exploring the latest ideas of good practice. |
| sample investment problem with solution: Stochastic Programming Horand Gassmann, W. T. Ziemba, 2013 This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncertainty problems. The applications, which were presented at the 12th International Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers discuss such diverse problems as longevity risk management of individual investors, personal financial planning, intertemporal surplus management, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics papers discuss natural gas infrastructure design, farming Atlantic salmon, prevention of nuclear smuggling and sawmill planning. The energy papers involve electricity production planning, hydroelectric reservoir operations and power generation planning for liquid natural gas plants. Finally, two telecommunication papers discuss mobile network design and frequency assignment problems. |
| sample investment problem with solution: Computational Logistics Jesica de Armas, Helena Ramalhinho, Stefan Voß, 2022-09-14 This book constitutes the refereed proceedings of the 13th International Conference on Computational Logistics, ICCL 2022, held in Barcelona, Spain, in September 2022. The 31 papers presented in this volume were carefully reviewed and selected from 64 submissions. They were organized in topical sections as follows: Maritime and Port Logistics; Vehicle Routing and Urban Logistics; Warehousing and Location; Supply Chain and Production Management. |
| sample investment problem with solution: Statistics for Business and Economics Carlos Cortinhas, Ken Black, 2012 This title provides readers with in-depth information on business, management and economics. It includes robust and algorithmic testbanks, high quality PowerPoint slides and electronic versions of statistical tables. |
| sample investment problem with solution: Strategic Power Plant Investment Planning Under Fuel and Carbon Price Uncertainty Ansgar Geiger, 2014-08-20 The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a greater variety of stochastic fuel and carbon price scenarios compared to other approaches. |
| sample investment problem with solution: Operations Research : Principles and Applications G. Srinivasan, 2010-09 The methodology used is to first expose the students to the fundamental concepts through a numerical illustration and then explain the underlying theory wherever required. The inclusion of a case study in each chapter of this second edition has made learning easier and more effective. The book introduces the readers to various models of operations research, such as the transportation model, the assignment model, the inventory model, the queueing theory and the integer programming model. The various techniques to solve OR problems faced by managers are also discussed. Separate chapters are devoted to linear programming, dynamic programming and quadratic programming which greatly help in the decision-making process. |
| sample investment problem with solution: Production Planning, Scheduling, and Inventory Control Vincent A. Mabert, Colin Moodie, 1982 |
| sample investment problem with solution: Normal Instructor , 1908 |
| sample investment problem with solution: A.I.Ch.E Student Contest Problems and the Prize Winning Solutions American Institute of Chemical Engineers, 1958 |
| sample investment problem with solution: An Undergraduate Introduction to Financial Mathematics J. Robert Buchanan, 2008 This textbook provides an introduction to financial mathematics and financial engineering for undergraduate students who have completed a three or four semester sequence of calculus courses. It introduces the theory of interest, random variables and probability, stochastic processes, arbitrage, option pricing, hedging, and portfolio optimization. The student progresses from knowing only elementary calculus to understanding the derivation and solution of the Black-Scholes partial differential equation and its solutions. This is one of the few books on the subject of financial mathematics which is accessible to undergraduates having only a thorough grounding in elementary calculus. It explains the subject matter without 'hand waving' arguments and includes numerous examples. Every chapter concludes with a set of exercises which test the chapter's concepts and fill in details of derivations. -- Publisher's description. |
| sample investment problem with solution: Artificial Neural Networks in Real-life Applications Juan Ramon Rabunal, Julian Dorado, 2006-01-01 This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability--Provided by publisher. |
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