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Natural Language Understanding in Conversational AI with Deep Learning
by Yan Li Josiah Poon Soyeon Caren Han Henry Weld Jean LeeThis book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancements, and future of natural language understanding (NLU) in human-computer interactions. To this end, the book is structured in seven chapters: Introduction to Natural Language Understanding lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. Prerequisites and Glossary for Natural Language Understanding then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. Single-Turn Natural Language Understanding looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while Multi-Turn Natural Language Understanding moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, Evaluating Natural Language Understanding discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. Applications and Case Studies in Natural Language Understanding subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually Challenges, Conclusions and Future Directions explores the core obstacles hindering the advancement of NLU, including ambiguity, domain adaptation, data scarcity, and ethical concerns. By understanding these challenges, this chapter highlights the ongoing work needed to advance NLU. This book mainly targets researchers, PhD students, and professionals who are entering this field and look for a state-of-the-art introduction to NLU applied in conversational systems such as chatbots, large language models, or educational systems.
Natural Resource Monitoring, Planning and Management Based on Advanced Programming (Advances in Geographical and Environmental Sciences)
by Chaitanya B. Pande Arun Pratap Mishra Atul KaushikThis book focuses on cloud-based platforms, advanced programming, machine learning models and programming approaches to assess water and other natural resources, flood impact, land use land cover (LULC), global forest change, global forest canopy height and pantropical nation-level carbon stock, among other areas. Sustainable management of natural resources is urgently needed, given the immense anthropogenic pressure on the environment and the accelerated change in climatic conditions of the earth; therefore, the ability to monitor natural resources precisely and accurately is increasingly important. To meet this demand, new and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources effectively. Remote sensing platforms use various sensors to record, measure and monitor even minor variations in the earth's surface features as well as atmospheric constituents. This book shows how environmental and ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers the different aspects of a remote sensing approach to effectively monitor natural resources and provide a platform for decision making and policy. The book is a valuable resource for researchers, scientists, NGOs and academicians working on climate change, environmental sciences, agriculture engineering, remote sensing and GIS, natural resources management, hydrology, soil sciences, agricultural microbiology, plant pathology and agronomy.
Natural Resource Pricing and Rents: An Economic Analysis (Contributions to Economics)
by Andrey Vavilov Georgy TrofimovThis book examines the economics of natural resource markets and pricing, as well as the field of natural resource economics in general. It presents the key contributions to this field of research, including the pioneering works and contemporary studies. The book highlights the basic principles and ideas underlying theoretical models of resource pricing. The models considered in the book underline the fundamental determinants of resource prices and the economic nature of rents for non-renewable and renewable resources. Besides the classical theory of exhaustible resource economics, the book includes several issues that are of high importance for global economic growth, such as the transition to alternative energy and the economics of climate change. The authors also consider the issues of commodity pricing and a resource cartel’s activity that are relevant to the world oil market.The book provides analytical solutions illustrated with numerical examples. It allows an intuitive understanding of the subject and the model inferences through graphical illustrations and an informal introduction. It, therefore, is a must-read for everybody interested in a better understanding of resource prices, resource markets, and resource economics.
Natural Resources as Capital (The\mit Press Ser.)
by Larry KarpAn introduction to the concepts and tools of natural resource economics, including dynamic models, market failures, and institutional remedies.This introduction to natural resource economics treats resources as a type of capital; their management is an investment problem requiring forward-looking behavior within a dynamic setting. Market failures are widespread, often associated with incomplete or nonexistent property rights, complicated by policy failures. The book covers standard resource economics topics, including both the Hotelling model for nonrenewable resources and models for renewable resources. The book also includes some topics in environmental economics that overlap with natural resource economics, including climate change.The text emphasizes skills and intuition needed to think about dynamic models and institutional remedies in the presence of both market and policy failures. It presents the nuts and bolts of resource economics as applied to nonrenewable resources, including the two-period model, stock-dependent costs, and resource scarcity. The chapters on renewable resources cover such topics as property rights as an alternative to regulation, the growth function, steady states, and maximum sustainable yield, using fisheries as a concrete setting. Other, less standard, topics covered include microeconomic issues such as arbitrage and the use of discounting; policy problems including the “Green Paradox”; foundations for policy analysis when market failures are important; and taxation. Appendixes offer reviews of the relevant mathematics. The book is suitable for use by upper-level undergraduates or, with the appendixes, masters-level courses.
Naturalizing Logico-Mathematical Knowledge: Approaches from Philosophy, Psychology and Cognitive Science (Routledge Studies in the Philosophy of Mathematics and Physics)
by Sorin BanguThis book is meant as a part of the larger contemporary philosophical project of naturalizing logico-mathematical knowledge, and addresses the key question that motivates most of the work in this field: What is philosophically relevant about the nature of logico-mathematical knowledge in recent research in psychology and cognitive science? The question about this distinctive kind of knowledge is rooted in Plato’s dialogues, and virtually all major philosophers have expressed interest in it. The essays in this collection tackle this important philosophical query from the perspective of the modern sciences of cognition, namely cognitive psychology and neuroscience. Naturalizing Logico-Mathematical Knowledge contributes to consolidating a new, emerging direction in the philosophy of mathematics, which, while keeping the traditional concerns of this sub-discipline in sight, aims to engage with them in a scientifically-informed manner. A subsequent aim is to signal the philosophers’ willingness to enter into a fruitful dialogue with the community of cognitive scientists and psychologists by examining their methods and interpretive strategies.
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World (Natural Computing Series)
by Neil UrquhartThis book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics.The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try out the algorithms and techniques discussed.
Nature Inspired Optimization Techniques for Image Processing Applications (Intelligent Systems Reference Library #150)
by Valentina Emilia Balas Jude HemanthThis book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
Nature Inspired Optimization for Electrical Power System (Algorithms for Intelligent Systems)
by Jagdish Chand Bansal Manjaree Pandit Hari Mohan DubeyThis book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.
Nature's Numbers (SCIENCE MASTERS)
by Ian StewartA mathematical sightseeing tour of the natural world from the author of THE MAGICAL MAZEWhy do many flowers have five or eight petals, but very few six or seven? Why do snowflakes have sixfold symmetry? Why do tigers have stripes but leopards have spots?Mathematics is to nature as Sherlock Holmes is to evidence. Mathematics can look at a single snowflake and deduce the atomic geometry of its crystals; it can start with a violin string and uncover the existence of radio waves. And mathematics still has the power to open our eyes to new and unsuspected regularities - the secret structure of a cloud or the hidden rhythms of the weather. There are patterns in the world we are now seeing for the first time - patterns at the frontier of science, yet patterns so simple that anybody can see them once they know where to look.
Nature's Numbers (SCIENCE MASTERS)
by Ian StewartWhy do many flowers have five or eight petals, but very few six or seven? Why do snowflakes have sixfold symmetry? Why do tigers have stripes but leopards have spots?Mathematics is to nature as Sherlock Holmes is to evidence. Mathematics can look at a single snowflake and deduce the atomic geometry of its crystals; it can start with a violin string and uncover the existence of radio waves. And mathematics still has the power to open our eyes to new and unsuspected regularities - the secret structure of a cloud or the hidden rhythms of the weather. There are patterns in the world we are now seeing for the first time - patterns at the frontier of science, yet patterns so simple that anybody can see them once they know where to look.(p) 1997 Orion Publishing Group
Nature's Numbers: The Unreal Reality Of Mathematics
by Ian Stewart"It appears to us that the universe is structured in a deeply mathematical way. Falling bodies fall with predictable accelerations. Eclipses can be accurately forecast centuries in advance. Nuclear power plants generate electricity according to well-known formulas. But those examples are the tip of the iceberg. In Nature's Numbers, Ian Stewart presents many more, each charming in its own way. . Stewart admirably captures compelling and accessible mathematical ideas along with the pleasure of thinking of them. He writes with clarity and precision. Those who enjoy this sort of thing will love this book. "--Los Angeles Times
Nature-Inspired Computing and Optimization
by Xin-She Yang Srikanta Patnaik Kazumi NakamatsuThe book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.
Nature-Inspired Computing for Smart Application Design (Springer Tracts in Nature-Inspired Computing)
by Santosh Kumar Das Thinagaran Perumal Thanh-Phong DaoThis book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.
Nature-Inspired Computing: Physics and Chemistry-Based Algorithms
by Hojjat Adeli Nazmul H. SiddiqueNature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications (Springer Tracts in Nature-Inspired Computing)
by Serdar Carbas Abdurrahim Toktas Deniz UstunThis book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
Nature-Inspired Optimization Algorithms
by Vasuki ANature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.
Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence #811)
by Andrew Lewis Jin Song Dong Seyedali MirjaliliThis book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.
Natürliche Differenzierung im Arithmetikunterricht: Angebot und Nutzung von Lernangeboten in heterogenen Grundschulklassen (Mathematikdidaktik im Fokus)
by Silke FriedrichIn der aktuellen mathematikdidaktischen Diskussion wird das Konzept der natürlichen Differenzierung als eine adäquate Möglichkeit angesehen, mit heterogenen Lerngruppen umzugehen. Natürliche Differenzierung ermöglicht Lernenden das gemeinsame Arbeiten an einem Lerngegenstand auf unterschiedlichen Schwierigkeitsniveaus. Die Studie wurde im Mathematikunterricht dritter Klassen am Beispiel des Lernangebots „Kombi-Gleichungen“ durchgeführt. Dabei wurde empirisch untersucht, ob Lernende einer heterogenen Lerngruppe ein natürlich differenzierendes arithmetisches Lernangebot tatsächlich ihrem individuellen Lernpotenzial entsprechend nutzen.
Natürliche Differenzierung im Geometrieunterricht der Grundschule: Epistemologische und partizipatorische Erforschung des gemeinsamen Lernens (Paderborner Beiträge zur Didaktik der Mathematik)
by Ninja Katherina Del PieroIn diesem Buch werden auf der Basis von theoretischen und fachdidaktischen Überlegungen zur natürlichen Differenzierung, Interaktion, geometrischen Begriffsbildung und räumlichen Vorstellung zwei geometrische Lernumgebungen vorgestellt, die sich für das gemeinsame Lernen von Schüler*innen mit unterschiedlichen Kompetenzen eignen: „Dreiecke auf dem Geobrett&“ und „Würfelgebäude entdecken&“. Im Rahmen der zehnjährigen Forschungsarbeit, auf der dieses Buch gründet, wurden diese Lernumgebungen konzipiert und in einem Lehr-Lern-Labor der Universität Paderborn mit zahlreichen Grundschulklassen durchgeführt und beforscht. Die Forschungsergebnisse zur epistemologischen sowie partizipatorischen Analyse der Lern- und Interaktionsprozesse zur Lernumgebung „Dreiecke auf dem Geobrett&“ werden in diesem Buch ausführlich präsentiert und hinsichtlich der Konzeption der Lernumgebung und des Gelingens der natürlichen Differenzierung diskutiert.
Navier-Stokes Equations
by Grzegorz Łukaszewicz Piotr KalitaThis volume is devoted to the study of the Navier-Stokes equations, providing a comprehensive reference for a range of applications: from advanced undergraduate students to engineers and professional mathematicians involved in research on fluid mechanics, dynamical systems, and mathematical modeling. Equipped with only a basic knowledge of calculus, functional analysis, and partial differential equations, the reader is introduced to the concept and applications of the Navier-Stokes equations through a series of fully self-contained chapters. Including lively illustrations that complement and elucidate the text, and a collection of exercises at the end of each chapter, this book is an indispensable, accessible, classroom-tested tool for teaching and understanding the Navier-Stokes equations. Incompressible Navier-Stokes equations describe the dynamic motion (flow) of incompressible fluid, the unknowns being the velocity and pressure as functions of location (space) and time variables. A solution to these equations predicts the behavior of the fluid, assuming knowledge of its initial and boundary states. These equations are one of the most important models of mathematical physics: although they have been a subject of vivid research for more than 150 years, there are still many open problems due to the nature of nonlinearity present in the equations. The nonlinear convective term present in the equations leads to phenomena such as eddy flows and turbulence. In particular, the question of solution regularity for three-dimensional problem was appointed by Clay Institute as one of the Millennium Problems, the key problems in modern mathematics. The problem remains challenging and fascinating for mathematicians, and the applications of the Navier-Stokes equations range from aerodynamics (drag and lift forces), to the design of watercraft and hydroelectric power plants, to medical applications such as modeling the flow of blood in the circulatory system.
Navier-Stokes-Fourier Equations
by Radyadour Kh. ZeytounianThis research monograph deals with a modeling theory of the system of Navier-Stokes-Fourier equations for a Newtonian fluid governing a compressible viscous and heat conducting flows. The main objective is threefold. First , to 'deconstruct' this Navier-Stokes-Fourier system in order to unify the puzzle of the various partial simplified approximate models used in Newtonian Classical Fluid Dynamics and this, first facet, have obviously a challenging approach and a very important pedagogic impact on the university education. The second facet of the main objective is to outline a rational consistent asymptotic/mathematical theory of the of fluid flows modeling on the basis of a typical Navier-Stokes-Fourier initial and boundary value problem. The third facet is devoted to an illustration of our rational asymptotic/mathematical modeling theory for various technological and geophysical stiff problems from: aerodynamics, thermal and thermocapillary convections and also meteofluid dynamics.
Navier–Stokes Equations on R3 × [0, T]
by Frank Stenger Don Tucker Gerd BaumannIn this monograph, leading researchers in the world ofnumerical analysis, partial differential equations, and hard computationalproblems study the properties of solutions of the Navier-Stokes partial differential equations on (x, y, z,t) ∈ â,, 3 × [0, T]. Initially converting the PDE to asystem of integral equations, the authors then describe spaces A of analytic functions that housesolutions of this equation, and show that these spaces of analytic functionsare dense in the spaces S of rapidlydecreasing and infinitely differentiable functions. This method benefits fromthe following advantages: The functions of S are nearly always conceptual rather than explicit Initial and boundary conditions of solutions of PDE are usually drawn from the applied sciences, and as such, they are nearly always piece-wise analytic, and in this case, the solutions have the same properties When methods of approximation are applied to functions of A they converge at an exponential rate, whereas methods of approximation applied to the functions of S converge only at a polynomial rate Enables sharper bounds on the solution enabling easier existence proofs, and a more accurate and more efficient method of solution, including accurate error bounds Following the proofs of denseness, the authors prove theexistence of a solution of the integral equations in the space of functions A ∩ â,, 3 × [0, T], and provide an explicit novelalgorithm based on Sinc approximation and Picard-like iteration for computingthe solution. Additionally, the authors include appendices that provide acustom Mathematica program for computing solutions based on the explicitalgorithmic approximation procedure, and which supply explicit illustrations ofthese computed solutions.
Navigating Circular Supply Chains: Optimizing Performance Measurement Through Fuzzy Methods and Quality Techniques (SpringerBriefs in Operations Management)
by Ramin Rostamkhani Thurasamy RamayahThis book focuses on four key issues that are crucial to achieving productivity and sustainability in the circular supply chain management industry. These key topics are the elements of circular supply chain management, statistical techniques such as the design of experiments and statistical process control, well-known fuzzy techniques in the performance measurement analysis of circular supply chains, and the indicators of managing productivity and sustainability before and after implementing the model. Presenting a creative combination of fuzzy and statistical techniques on performance measurement in circular supply chain management, this book would be of interest to experts and technical managers who are responsible for implementing productivity and sustainability models within the organization as well as academics.
Navigating Molecular Networks (SpringerBriefs in Materials)
by N. SukumarThis book delves into the foundational principles governing the treatment of molecular networks and "chemical space"—the comprehensive domain encompassing all physically achievable molecules—from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein.Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies.
Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting
by John E. TriantisBased on four decades of experience and research, Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting explains how to improve the decision-making process in your organization through the use of better long-term forecasts and decision support. Filled with time-tested methodologies and models, it provides you with the tools to establish the organization, processes, methods, and techniques required for analyzing and forecasting strategic decisions.Describing how to foster the conditions required for forecasts to materialize, this book will help you rank project valuations and select higher value creation projects. It also teaches you how to: Assess the commercial feasibility of large projects Apply sanity checks to forecasts and assess their resource implications Benchmark best-in-class strategic forecasting organizations, processes, and practices Identify project risks and manage project uncertainty Analyze forecasting models and scenarios to determine controllable levers Pinpoint factors needed to ensure that forecasted future states materialize as expected This book provides you with the benefit of the author’s decades of hands-on experience. In this book, John Triantis shares valuable insights on strategic planning, new product development, portfolio management, and business development groups. Describing how to provide world-class support to your corporate, market, and other planning functions, the book provides you with the tools to consistently make improved decisions that are based on hard data, balanced evaluations, well considered scenarios, and sound forecasts.