Найти книгу: "Proxima B"

One day not too far from now there will be too many people on this planet. When that day comes, what will we do? Jerry, Michael, Emily, Amelia, Abigail and David receive their answer in the form of a letter. Proxima B is waiting for them and is going to expose their differences and their fears, which will let them make unexpected choices. Sometimes, a more obvious answer is not more predictable. Co-authored science fiction novel about a space mission that leads a group of colonists to land on Proxima b, which is an exoplanet in the habitable zone of the red dwarf called Proxima Centauri and whose distance from the sun is 4.24 light years. The year is 2099. Due to world's pollution, the excessive number of inhabitants, the subsequent lack of resources and other reasons, Earth is no longer fit to live in. The only hope is to try to reach what appears to be a ”second possibility”, Proxima b, indeed. This is why New Nasa Corporated is planning a mission called ”For everyone's sake!” that imposes the recruitment of several practitioners in their own field, including biologists, doctors, chemists, engineers and soldiers. These include Jerry, Michael, Emily, Amelia, Abigail and David, in addition to Matthew Ross, who is the captain of one of the three mother ships (the MATERs) that after the ”new colonizers” have been trained leave Earth and manage to reach the new planet through a wormhole. But during space travel something does not go as planned. Terrestrial beings find something different from what they expected on Proxima…

Praise for the First Edition «Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautiful book fills a gap in the libraries of OR specialists and practitioners.» —Computing Reviews This new edition showcases a focus on modeling and computation for complex classes of approximate dynamic programming problems Understanding approximate dynamic programming (ADP) is vital in order to develop practical and high-quality solutions to complex industrial problems, particularly when those problems involve making decisions in the presence of uncertainty. Approximate Dynamic Programming, Second Edition uniquely integrates four distinct disciplines—Markov decision processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully approach, model, and solve a wide range of real-life problems using ADP. The book continues to bridge the gap between computer science, simulation, and operations research and now adopts the notation and vocabulary of reinforcement learning as well as stochastic search and simulation optimization. The author outlines the essential algorithms that serve as a starting point in the design of practical solutions for real problems. The three curses of dimensionality that impact complex problems are introduced and detailed coverage of implementation challenges is provided. The Second Edition also features: A new chapter describing four fundamental classes of policies for working with diverse stochastic optimization problems: myopic policies, look-ahead policies, policy function approximations, and policies based on value function approximations A new chapter on policy search that brings together stochastic search and simulation optimization concepts and introduces a new class of optimal learning strategies Updated coverage of the exploration exploitation problem in ADP, now including a recently developed method for doing active learning in the presence of a physical state, using the concept of the knowledge gradient A new sequence of chapters describing statistical methods for approximating value functions, estimating the value of a fixed policy, and value function approximation while searching for optimal policies The presented coverage of ADP emphasizes models and algorithms, focusing on related applications and computation while also discussing the theoretical side of the topic that explores proofs of convergence and rate of convergence. A related website features an ongoing discussion of the evolving fields of approximation dynamic programming and reinforcement learning, along with additional readings, software, and datasets. Requiring only a basic understanding of statistics and probability, Approximate Dynamic Programming, Second Edition is an excellent book for industrial engineering and operations research courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who utilize dynamic programming, stochastic programming, and control theory to solve problems in their everyday work.

This step-by-step guide provides the reader with a detailed and thorough introduction to practical antenna design and model implementation In this book, Hubregt J. Visser provides an introduction to the fundamentals of antenna design and the implementation of design models. A variety of antennas for wireless applications and communications systems are explained, and the real-life use of the antennas is demonstrated through extensive use of application examples. The author includes discussions on the design process of several antennas, such as intravascular MR Antennas, PCB antennas, RFID antennas, rectennas etc. Furthermore, emphasis is placed on Computer Aided Design (CAD) using approximated models. Key Features Includes coverage on intravascular MR Antennas, PCB antennas, RFID antennas, rectennas, etc Comprehensively details the application areas, modeling, analysis, and validation processes for individual antennas Discusses the use of equivalent dipole antennas, equivalent transmission line networks and electrostatics Introduces many antennas and models that have not been covered in previous publications (such as MRI Antennas, for example) This book will be of interest to microwave and antenna engineers. Graduate and post-graduate antennas students studying BSc and MSc courses, as well as research assistants will also find this book insightful.

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

Предлагаемое пособие предназначено для изучающих испанский язык и, шире, культуру Латинской Америки. Понимание стихотворного текста возможно на достаточно продвинутом этапе изучения языка, поэтому книга рекомендуется к использованию на старших курсах языковых университетов и факультетов, а также в старших классах школ с углубленным изучением испанского языка после освоения базового грамматического и лексического языкового комплекса. Коммуникативно направленные упражнения помогают в усвоении иноязычной лексики, в том числе слов-реалий. Упражнения способствуют углубленному пониманию стихотворного текста и формируют фоновые знания. Биографическая справка, предваряющая стихи, может быть использована для обучения пересказу. В конце сборника приводятся переводы большинства стихотворений на русский язык, а также испанско-русский словарь.

Hablar de neuropsicologia es hacerlo de una de la ramas que mas han crecido en los ultimos anos, ya que se nutre de los avances tanto de la psicologia como de la neurociencia.