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| marginal cost analysis graph generator: Asleep at the Switch United States. Congress. Senate. Committee on Governmental Affairs, 2003 |
| marginal cost analysis graph generator: Management Decision Making George E. Monahan, 2000-08-17 CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks. |
| marginal cost analysis graph generator: Intelligent Computation and Analytics on Sustainable Energy and Environment Amarjit Roy, Chiranjit Sain, Raja Ram Kumar, Sandip Chanda, Valentina Emilia Balas, Saad Mekhilef, 2024-11-18 The 1st International Conference on Intelligent Computation and Analytics on Sustainable Energy (ICICASEE 2023) was held at Ghani Khan Choudhury Institute of Engineering & Technology (GKCIET), Malda, West Bengal, India. GKCIET is a premier engineering institute located in Malda, West Bengal, India. Being established in 2010, at present the institute offers B.Tech and Diploma Civil Engineering, Mechanical Engineering, Electrical Engineering, Computer Science and engineering and Food process□ing technology. The conference was aimed to provide a platform for researchers, academicians, indus□try professionals, and students to exchange knowledge and ideas on intelligent computation, analytics, and their applications in sustainable energy systems. The Department of Electrical Engineering of the institute hosted the conference from September 21–23, 2023. |
| marginal cost analysis graph generator: Federal Software Exchange Catalog , 1984 |
| marginal cost analysis graph generator: Portfolio Analysis of Power Plant Technologies Sebastian Rothe, 2019-03-12 The liberalization process, tightening environmental standards and the need for replacing aged power plants force European utilities to optimize their future generation mix. Power plants are real assets and as a consequence the power plant park of a utility firm equals a portfolio of different generation assets. This thesis adds to the understanding how to identify an efficient generation portfolio through time by assuming a non-constant feasible set. According to our results a combination of conventional thermal and renewable energies turn out to be efficient in terms of expected value and risks. Therefore, implementing a strategy based on renewable energies which cause less CO2 per MWh generated electricity clearly pays off. Potential readership includes scholars from energy economics and energy finance as well as interested practitioners involved in these areas. |
| marginal cost analysis graph generator: Modern Power Systems Analysis Xi-Fan Wang, Yonghua Song, Malcolm Irving, 2010-06-07 The capability of effectively analyzing complex systems is fundamental to the operation, management and planning of power systems. This book offers broad coverage of essential power system concepts and features a complete and in-depth account of all the latest developments, including Power Flow Analysis in Market Environment; Power Flow Calculation of AC/DC Interconnected Systems and Power Flow Control and Calculation for Systems Having FACTS Devices and recent results in system stability. |
| marginal cost analysis graph generator: Uncertainty in Complex Networked Systems Tamer Başar, 2018-12-14 The chapters in this volume, and the volume itself, celebrate the life and research of Roberto Tempo, a leader in the study of complex networked systems, their analysis and control under uncertainty, and robust designs. Contributors include authorities on uncertainty in systems, robustness, networked and network systems, social networks, distributed and randomized algorithms, and multi-agent systems—all fields that Roberto Tempo made vital contributions to. Additionally, at least one author of each chapter was a research collaborator of Roberto Tempo’s. This volume is structured in three parts. The first covers robustness and includes topics like time-invariant uncertainties, robust static output feedback design, and the uncertainty quartet. The second part is focused on randomization and probabilistic methods, which covers topics such as compressive sensing, and stochastic optimization. Finally, the third part deals with distributed systems and algorithms, and explores matters involving mathematical sociology, fault diagnoses, and PageRank computation. Each chapter presents exposition, provides new results, and identifies fruitful future directions in research. This book will serve as a valuable reference volume to researchers interested in uncertainty, complexity, robustness, optimization, algorithms, and networked systems. |
| marginal cost analysis graph generator: The Unaccountability Machine Dan Davies, 2024-04-18 'Entertaining, insightful ... compelling' Financial Times 'A corporation, or a government department isn't a conscious being, but it is an artificial intelligence. It has the capability to take decisions which are completely distinct from the intentions of any of the people who compose it. And under stressful conditions, it can go stark raving mad.' When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members. Management cybernetics was Beer's science of applying self-regulation in organisational settings, but it was largely ignored - with the result being the political and economic crises that that we see today. With his signature blend of cynicism and journalistic rigour, Davies looks at what's gone wrong, and what might have been, had the world listened to Stafford Beer when it had the chance. |
| marginal cost analysis graph generator: APPLIED TIME SERIES ANALYSIS FOR MANAGERIAL FORECASTING CHARLES R. NELSON, |
| marginal cost analysis graph generator: 107-2 Hearing: Asleep At The Switch: FERC's Oversight Of Enron Corporation--Vol. II, S. Hrg. 107-854, November 12, 2002, * , 2003 |
| marginal cost analysis graph generator: Intermediate Microeconomics Patrick M. Emerson, 2019 |
| marginal cost analysis graph generator: Variable Renewable Energy and the Electricity Grid Jay Apt, Paulina Jaramillo, 2014-06-13 The integration of renewable energy resources into the electricity grid presents an important challenge. This book provides a review and analysis of the technical and policy options available for managing variable energy resources such as wind and solar power. As well as being of value to government and industry policy-makers and planners, the volume also provides a single source for scientists and engineers of the technical knowledge gained during the 4-year RenewElec (renewable electricity) project at Carnegie Mellon University, the University of Vermont, Vermont Law School, and the Van Ness Feldman environmental law firm. The first part of the book discusses the options for large scale integration of variable electric power generation, including issues of predictability, variability, and efficiency. The second part presents the scientific findings of the project. In the final part, the authors undertake a critical review of major quantitative regional and national wind integration studies in the United States. Based on comparisons among these studies, they suggest areas where improvements in methods are warranted in future studies, areas where additional research is needed to facilitate future improvements in wind integration studies and how the research can be put into practice. |
| marginal cost analysis graph generator: Discrete and System Models W.F. Lucas, F.S. Roberts, R.M. Thrall, 1983-03-14 The purpose of this four volume series is to make available for college teachers and students samples of important and realistic applications of mathematics which can be covered in undergraduate programs. The goal is to provide illustrations of how modem mathematics is actually employed to solve relevant contemporary problems. Although these independent chapters were prepared primarily for teachers in the general mathematical sciences, they should prove valuable to students, teachers, and research scientists in many of the fields of application as well. Prerequisites for each chapter and suggestions for the teacher are provided. Several of these chapters have been tested in a variety of classroom settings, and all have undergone extensive peer review and revision. Illustrations and exercises be covered in one class, are included in most chapters. Some units can whereas others provide sufficient material for a few weeks of class time. Volume 1 contains 23 chapters and deals with differential equations and, in the last four chapters, problems leading to partial differential equations. Applications are taken from medicine, biology, traffic systems and several other fields. The 14 chapters in Volume 2 are devoted mostly to problems arising in political science, but they also address questions appearing in sociology and ecology. Topics covered include voting systems, weighted voting, proportional representation, coalitional values, and committees. The 14 chapters in Volume 3 emphasize discrete mathematical methods such as those which arise in graph theory, combinatorics, and networks. |
| marginal cost analysis graph generator: Graph Representation Learning William L. William L. Hamilton, 2022-06-01 Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning. |
| marginal cost analysis graph generator: Aspects of Irish Energy Policy John Fitz Gerald, 2005 |
| marginal cost analysis graph generator: Renewable Energy for Rural Schools , |
| marginal cost analysis graph generator: High-Level Synthesis for Real-Time Digital Signal Processing Jan Vanhoof, Karl Van Rompaey, Ivo Bolsens, Gert Goossens, Hugo De Man, 2012-12-06 High-Level Synthesis for Real-Time Digital Signal Processing is a comprehensive reference work for researchers and practicing ASIC design engineers. It focuses on methods for compiling complex, low to medium throughput DSP system, and on the implementation of these methods in the CATHEDRAL-II compiler. The emergence of independent silicon foundries, the reduced price of silicon real estate and the shortened processing turn-around time bring silicon technology within reach of system houses. Even for low volumes, digital systems on application-specific integrated circuits (ASICs) are becoming an economically meaningful alternative for traditional boards with analogue and digital commodity chips. ASICs cover the application region where inefficiencies inherent to general-purpose components cannot be tolerated. However, full-custom handcrafted ASIC design is often not affordable in this competitive market. Long design times, a high development cost for a low production volume, the lack of silicon designers and the lack of suited design facilities are inherent difficulties to manual full-custom chip design. To overcome these drawbacks, complex systems have to be integrated in ASICs much faster and without losing too much efficiency in silicon area and operation speed compared to handcrafted chips. The gap between system design and silicon design can only be bridged by new design (CAD). The idea of a silicon compiler, translating a behavioural system specification directly into silicon, was born from the awareness that the ability to fabricate chips is indeed outrunning the ability to design them. At this moment, CAD is one order of magnitude behind schedule. Conceptual CAD is the keyword to mastering the design complexity in ASIC design and the topic of this book. |
| marginal cost analysis graph generator: Graph Mining Deepayan Chakrabarti, Christos Faloutsos, 2012-10-01 What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with what if scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous pageRank algorithm and the HITS algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions |
| marginal cost analysis graph generator: Restructured Rivers Philip Raphals, 2001 |
| marginal cost analysis graph generator: Keeping the Lights on Great Britain: Parliament: House of Commons: Environmental Audit Committee, 2006-04-16 Keeping the lights On : Nuclear, renewables and climate change, sixth report of session 2005-06, Vol. 2: Oral and written Evidence |
| marginal cost analysis graph generator: Small is Profitable Amory B. Lovins, 2020-11-27 Today's electricity industry - large power stations feeding a nationwide grid - will soon be a thing of the past. This book explains why and what will replace it - decentralized and distributed electrical resources which can be up to 10 times as economically valuable. The authors - all leading experts in the field - explain very clearly and thoroughly all the benefits, so the engineers will understand the economic advantages and the investors will understand the engineering efficiencies. Here's what industry experts are saying about Small is Profitable... 'A tour-de-force and a goldmine of good ideas. It is going to have a stunning impact on thinking about electricity.' Walter C. Patterson, Senior Research Fellow, Royal Institute of International Affairs, London. 'An amazing undertaking - incredibly ambitious yet magnificently researched and executed.' Dr. Shimon Awerbuch, Senior Advisor, International Energy Agency, Paris. 'Outstanding...You have thought of some [benefits] I never considered...A great resource for the innovation in energy services that will have to take place for us to have a sustainable future.' Dr. Carl Weinberg, Weinberg Associates, former Research Director, PG&E. 'This is a brilliant synthesis and overview with a lot of original analytics and insights and a very important overall theme. I think it is going to have a big impact.' Greg Kats, Principal, Capital E LLC, former Finance Director for Efficiency and Renewable Energy, U.S. Department of Energy. 'E. F. Schumacher would be proud of this rigorous extension of his thesis in Small is Beautiful. It shows how making systems the right size can make them work better and cost less. Here are critical lessons for the new century: technologies tailored to the needs of people, not the reverse, can improve the economy and the environment.' Dr. Daniel Kammen, Professor of Energy and Society and of Public Policy, University of California, Berkeley. 'Small is Profitable creates an unconventional but impeccably reasoned foundation to correctly assign the costs and true benefits of distributed energy systems. It has become an indispensable tool for modelling distributed energy systems benefits for us.' Tom Dinwoodie, CEO and Chairman, PowerLight Corporation. 'A Unique and valuable contribution to the distributed energy industry...Small Is Profitable highlights the societal benefits of distributed resources, and will be a helpful guide to policymakers who wish to properly account for these benefits in the marketplace.' Nicholas Lenssen, Senior Director, Primen. 'This book will shift the electric industry from the hazards of overcentralization toward the new era where distributed generation will rule.' Steven J. Strong, President, Solar Design Associates, Inc. 'Readers will understand why distributed resources are poised to fundamentally alter the electric power system. Its comprehensive review of the benefits of distributed resources [is] an important part of my library.' Dr. Thomas E. Hoff, President, Clean Power Research. 'The most comprehensive treatise on distributed generation.... Great job and congratulations.' Howard Wenger, Principal, Pacific Energy Group '..[D]ensely packed with information and insights...goes a long way to demonstrate that the former paradigm of electric power supply no longer makes sense.' Prof. Richard Hirsh, University of Vermont, Leading historian of the electric power sector. 'Amory Lovins was already the world's most original and influential thinker on the future of energy services in general and electricity systems in particular. This remarkable book is a very worthy addition to an extraordinary legacy.' Ralph Cavanagh, Energy Co-Director, Natural Resources Defense Council. 'This is a book every utility professional should have on the bookshelf.' Dr Peter S. Fox-Penner, Principal and Chairman of the Board, the Brattle Group, former Principal Deputy Assistant Secretary of Energy. |
| marginal cost analysis graph generator: Gas World , 1954 |
| marginal cost analysis graph generator: A Directory of Computer Software & Related Technical Reports , 1984 |
| marginal cost analysis graph generator: Economics Lewis C. Solmon, 1980 |
| marginal cost analysis graph generator: The Energy Journal , 1993 |
| marginal cost analysis graph generator: Efficient Memoization Algorithms for Query Optimization: Top-Down Join Enumeration Through Memoization on the Basis of Hypergraphs Pit Fender, 2014-12 For a DBMS that provides support for a declarative query language like SQL, the query optimizer is a crucial piece of software. The declarative nature of a query allows it to be translated into many equivalent evaluation plans. The process of choosing a suitable plan from all alternatives is known as query optimization. The basis of this choice are a cost model and statistics over the data. Essential for the costs of a plan is the execution order of join operations in ist operator tree, since the runtime of plans with different join orders can vary by several orders of magnitude. An exhaustive search for an optimal solution over all possible operator trees is computationally infeasible. To decrease complexity, the search space must be restricted. Therefore, a well-accepted heuristic is applied: All possible bushy join trees are considered, while cross products are excluded from the search. There are two efficient approaches to identify the best plan: bottom-up and top- down join enumeration. But only the top-down approach allows for branch-and-bound pruning, which can improve compile time by several orders of magnitude, while still preserving optimality. Hence, this book focuses on the top-down join enumeration. In the first part, we present two efficient graph-partitioning algorithms suitable for top-down join enumer- ation. However, as we will see, there are two severe limitations: The proposed algo- rithms can handle only (1) simple (binary) join predicates and (2) inner joins. Therefore, the second part adopts one of the proposed partitioning strategies to overcome those limitations. Furthermore, we propose a more generic partitioning framework that enables every graph-partitioning algorithm to handle join predicates involving more than two relations, and outer joins as well as other non-inner joins. As we will see, our framework is more efficient than the adopted graph-partitioning algorithm. The third part of this book discusses the two branch-and-bound pruning strategies that can be found in the literature. We present seven advancements to the combined strategy that improve pruning (1) in terms of effectiveness, (2) in terms of robustness and (3), most importantly, avoid the worst-case behavior otherwise observed. Different experiments evaluate the performance improvements of our proposed methods. We use the TPC-H, TPC-DS and SQLite test suite benchmarks to evalu- ate our joined contributions. As we show, the average compile time improvement in those settings is 100% when compared with the state of the art in bottom-up join neu- meration. Our synthetic workloads show even higher improvement factors. |
| marginal cost analysis graph generator: Gas Journal , 1954 |
| marginal cost analysis graph generator: Report , 1994 |
| marginal cost analysis graph generator: An Economic and Legal Perspective on Electric Utility Transition Costs Kenneth Rose (Ph. D.), 1996 |
| marginal cost analysis graph generator: Principles of Economics 2e Steven A. Greenlaw, David Shapiro, Timoth Taylor, 2017-10-11 |
| marginal cost analysis graph generator: Journal of Gas Lighting and Water Supply , 1954 |
| marginal cost analysis graph generator: A Directory of Computer Software , 1984 |
| marginal cost analysis graph generator: Mathematics for economists Malcolm Pemberton, Nicholas Rau, 2023-11-10 This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics, econometrics and finance. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, dynamics and static and dynamic optimisation. The last four chapters are an accessible introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study. The preface to the new edition and full table of contents are available from https://www.manchesterhive.com/page/mathematics-for-economists-supplementary-materials |
| marginal cost analysis graph generator: Life-cycle Cost Analysis in Pavement Design James Walls, 1998 This Interim Technical Bulletin recommends procedures for conducting Life-Cycle Cost Analysis (LCCA) of pavements, provides detailed procedures to determine work zone user costs, and introduces a probabilistic approach to account for the uncertainty associated with LCCA inputs. |
| marginal cost analysis graph generator: Postoptimal Analyses, Parametric Programming, and Related Topics Tomas Gal, 2010-09-03 Postoptimal Analyses, Parametric Programming, and Related Topics: Degeneracy, Multicriteria Decision Making Redundancy. |
| marginal cost analysis graph generator: Electricity Markets Barrie Murray, 1998-12-29 Covering analytical and technical aspects of grid deregulation, this te×t looks at the impact of deregulation on investment appraisal. Based on the author's direct e×perience with the National Grid Company, it should interest worldwide utilities planning to follow the UK's initiatives. |
| marginal cost analysis graph generator: Journal of Gas Lighting , 1954 |
| marginal cost analysis graph generator: Electric Utility Resource Planning Steven Sim, 2017-12-19 Most people—including many legislators, regulators, and other decision makers in the electric utility industry—have misconceptions about how electric utilities really work and plan for the future. This lack of understanding can lead to poorly informed decisions and policies that directly affect the choices utilities must make. Using easy-to-understand text and examples, Electric Utility Resource Planning: Economics, Reliability, and Decision-Making clarifies how utilities operate their systems and prepare for the future. This explanation will show readers that both expected and counterintuitive results can occur (i.e., conservation might result in higher air emissions, or lowering costs could lead to higher electric rates). Taking readers step by step through this process, the book (in the following order): Creates a hypothetical utility Explains how and why a utility operates its system of generating units Discusses the planning methods that a utility would (or should) use Guides readers through each stage of a planning analysis for the hypothetical utility, examining various resource options (conservation, new power plants, and solar) In addition, the author introduces four Fundamental Principles of Resource Planning that should guide utilities. He also offers opinions on how certain trends in utility regulation and legislation can hinder utility planners’ efforts to identify and select the best resources for the utility’s customers. With this book, author Dr. Steven Sim applies his experience and insights from more than two decades of resource planning for Florida Power and Light (FPL). As one of the largest utilities in the United States, FPL has faced a multitude of resource planning challenges, and Dr. Sim has performed and supervised thousands of analyses designed to meet these obstacles. He has also served as an FPL witness in regulatory hearings on a wide variety of topics, ranging from the economic implications of nuclear, conservation, coal, gas, and other resource options, to the non-economic impacts (air emissions, fuel usage, system reliability, etc.) they present. |
| marginal cost analysis graph generator: Scientific and Technical Aerospace Reports , 1976 |
| marginal cost analysis graph generator: The Transportation/land Use Connection Terry Moore, Paul Thorsnes, 1994 |
MARGINAL Definition & Meaning - Merriam-Webster
The meaning of MARGINAL is written or printed in the margin of a page or sheet. How to use marginal in a sentence.
MARGINAL | English meaning - Cambridge Dictionary
MARGINAL definition: 1. very small in amount or effect: 2. of interest to only a few people: 3. the idea that small…. Learn more.
Marginal - definition of marginal by The Free Dictionary
1. pertaining to a margin. 2. situated on a border, edge, or fringe. 3. at the lower limits; minimal for requirements: marginal ability. 4. written or printed in the margin of a page. 5. insignificant; …
What does Marginal mean? - Definitions.net
Marginal refers to the additional or incremental change brought about by a specific decision or action. It is often used in economics and finance to describe the change in revenue, cost, or …
MARGINAL Definition & Meaning - Dictionary.com
of minor importance, significance, relevance, or effect: Grids using even larger voltages are now being constructed, but will probably make only a marginal improvement in costs. Ethics is not …
MARGINAL definition and meaning | Collins English Dictionary
If you describe people as marginal, you mean that they are not involved in the main events or developments in society because they are poor or have no power.
Marginal - Definition, Meaning & Synonyms - Vocabulary.com
Use the word marginal when something is minimal or barely enough. If you buy lemons and sugar, make lemonade and set up a stand on the street corner, but sell only a couple of …
Marginal Definition & Meaning | Britannica Dictionary
There has been only a marginal improvement in her condition. His reading and writing abilities are marginal. She's a marginal athlete. At the next election the opposition parties will try to capture …
MARGINAL | definition in the Cambridge English Dictionary
MARGINAL meaning: 1. very small in amount or effect: 2. of interest to only a few people: 3. the idea that small…. Learn more.
MARGINAL - Meaning & Translations | Collins English Dictionary
If you describe people as marginal, you mean that they are not involved in the main events or developments in society because they are poor or have no power. [...]
MARGINAL Definition & Meaning - Merriam-Webster
The meaning of MARGINAL is written or printed in the margin of a page or sheet. How to use marginal in a sentence.
MARGINAL | English meaning - Cambridge Dictionary
MARGINAL definition: 1. very small in amount or effect: 2. of interest to only a few people: 3. the idea that small…. Learn more.
Marginal - definition of marginal by The Free Dictionary
1. pertaining to a margin. 2. situated on a border, edge, or fringe. 3. at the lower limits; minimal for requirements: marginal ability. 4. written or printed in the margin of a page. 5. insignificant; …
What does Marginal mean? - Definitions.net
Marginal refers to the additional or incremental change brought about by a specific decision or action. It is often used in economics and finance to describe the change in revenue, cost, or …
MARGINAL Definition & Meaning - Dictionary.com
of minor importance, significance, relevance, or effect: Grids using even larger voltages are now being constructed, but will probably make only a marginal improvement in costs. Ethics is not …
MARGINAL definition and meaning | Collins English Dictionary
If you describe people as marginal, you mean that they are not involved in the main events or developments in society because they are poor or have no power.
Marginal - Definition, Meaning & Synonyms - Vocabulary.com
Use the word marginal when something is minimal or barely enough. If you buy lemons and sugar, make lemonade and set up a stand on the street corner, but sell only a couple of …
Marginal Definition & Meaning | Britannica Dictionary
There has been only a marginal improvement in her condition. His reading and writing abilities are marginal. She's a marginal athlete. At the next election the opposition parties will try to capture …
MARGINAL | definition in the Cambridge English Dictionary
MARGINAL meaning: 1. very small in amount or effect: 2. of interest to only a few people: 3. the idea that small…. Learn more.
MARGINAL - Meaning & Translations | Collins English Dictionary
If you describe people as marginal, you mean that they are not involved in the main events or developments in society because they are poor or have no power. [...]
