Neuro-dynamic programming uses neural network approximations to overcome the "curse of dimensionality" and the "curse of modeling" that have been the bottlenecks to the practical application of dynamic programming and stochastic control to complex problems. The methodology allows systems to learn about their behavior through simulation, and to improve their performance through iterative reinforcement.
This book provides the first systematic presentation of the science and the art behind this exciting and far-reaching methodology.
The book develops a comprehensive analysis of neuro-dynamic programming algorithms, and guides the reader to their successful application through case studies from complex problem areas.
For courses in problem solving and programming logic.
Making complex programming concepts accessible to every studentÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Starting Out with Programming Logic and Design is a language-independent introductory programming book, teaching students programming concepts and logic without assuming any previous programming experience.
Designed for beginners, the text is clear and approachable, making the complex concepts accessible to every student. In this new edition, Gaddis focuses on current languages providing code snippet examples and complete programs for each. The text uses updated, contemporary examples to familiarize students with models and logical thought processes used in programming without further complicating them with language syntax. By using easy-to-understand pseudocode, flowcharts, and other tools, Gaddis illustrates how to design the logic of programs.
The book is ideal for a programming logic course taught as a precursor to a language-specific introductory programming course, or for the first part of an introductory programming course.
I was smart enough to earn an honors degree in philosophy from Harvard, but an aptitude test told me to avoid computer programming. I'm sure it was right. But then I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies.
Quadruple your learning ability.
Washington University research shows that a key teaching method I useâinteractive recall practiceâimproves learning performance 400 percent.
"I don't feel lost and I don't feel that I am forgetting things as I go along." âAmazon reviewer Leonie M. reviewing my second book, A Smarter Way to Learn HTML and CSS
Understanding is easy. Remembering is hard.
Computer languages are not inherently hard to understand, even for non-techies. Remembering is the problem. If you remember all of Chapter 1 through Chapter 10, you'll understand Chapter 11. But you don't remember. Though you read and read, most of it doesn't stick. You don't have a solid foundation to build on. Halfway through the book, it all collapses. That's when most people give up.
Interactive exercises make it stick.
Research shows that you will remember everything if you're repeatedly asked to recall it. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercisesâthey're free onlineâthat embed the whole book in your memory. Algorithms check your work to make sure you know what you think you know. When you stumble, you do the exercise again. You keep trying until you know the chapter cold.
"Not only do the exercises make learning fun, they reinforce the material right away so it sinks in deeper." âAmazon reviewer Timothy B. Miller reviewing my second book, A Smarter Way to Learn HTML and CSS
You won't get bored or sleepy.
The exercises keep you engaged, give you extra practice where you're shaky, and prepare you for each next step. Every lesson is built on top of a solid foundation that you and I have carefully constructed. Each individual step is small. But all the little steps add up to real knowledgeâknowledge that you retain.
I finally feel like I KNOW it and won't need to look up the syntax each time..." âAmazon reviewer J. Caritas reviewing my third book, A Smarter Way to Learn jQuery
Really, it ain't that hard.
Reviewing my books on Amazon, readers who've struggled with programming concepts like functions, loops, and scope write, "I had no idea these things were so simple!"
You don't need to be a computer genius to learn Python. You just need to be smart about how you learn it.
"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." âComputing 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 disciplinesâMarkov decision processes, mathematical programming, simulation, and statisticsâto 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.
Maximize your Excel 2013 experience using VBA application development
The new Excel 2013 boasts updated features, enhanced power, and new capabilities. Naturally, that means John Walkenbach returns with a new edition of his bestselling VBA Programming book and covers all the methods and tools you need to know in order to program with Excel. With this comprehensive guide, "Mr. Spreadsheet" shows you how to maximize your Excel experience using professional spreadsheet application development tips from his own personal bookshelf.
Featuring a complete introduction to Visual Basic for Applications and fully updated for the latest features of Excel 2013, this essential reference includes an analysis of Excel application development and is packed with procedures, tips, and ideas for expanding Excel's capabilities with VBA.
Excel 2013 Power Programming with VBA is packed with procedures, tips, and ideas for achieving Excel excellence with VBA.
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