Approximate Dynamic Programming or Teaching and Learning with Technology

Approximate Dynamic Programming: Solving the Curses of Dimensionality

Author: Warren Buckler Powell

A complete and accessible introduction to the real-world applications of approximate dynamic programming

With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades of experience working in large industrial settings to develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. This groundbreaking book uniquely integrates four distinct disciplines—Markov design processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully model and solve a wide range of real-life problems using the techniques of approximate dynamic programming (ADP). The reader is introduced to the three curses of dimensionality that impact complex problems and is also shown how the post-decision state variable allows for the use of classical algorithmic strategies from operations research to treat complex stochastic optimization problems.

Designed as an introduction and assuming no prior training in dynamic programming of any form, Approximate Dynamic Programming contains dozens of algorithms that are intended to serve as a starting point in the design of practical solutions for real problems. The book provides detailed coverage of implementation challenges including: modeling complex sequential decision processes under uncertainty, identifying robust policies, designing and estimating value function approximations, choosing effective stepsize rules, and resolving convergence issues.

With a focus on modeling andalgorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, Approximate Dynamic Programming:

• Models complex, high-dimensional problems in a natural and practical way, which draws on years of industrial projects
• Introduces and emphasizes the power of estimating a value function around the post-decision state, allowing solution algorithms to be broken down into three fundamental steps: classical simulation, classical optimization, and classical statistics
• Presents a thorough discussion of recursive estimation, including fundamental theory and a number of issues that arise in the development of practical algorithms
• Offers a variety of methods for approximating dynamic programs that have appeared in previous literature, but that have never been presented in the coherent format of a book

Motivated by examples from modern-day operations research, Approximate Dynamic Programming is an accessible introduction to dynamic modeling and is also a valuable guide for the development of high-quality solutions to problems that exist in operations research and engineering. The clear and precise presentation of the material makes this an appropriate text for advanced undergraduate and beginning graduate courses, while also serving as a reference for researchers and practitioners. A companion Web site is available for readers, which includes additional exercises, solutions to exercises, and data sets to reinforce the book's main concepts.

See also: Decision Support and Business Intelligence Systems or Programming Microsoft ASPNet 20 Core Reference

Teaching and Learning with Technology

Author: Judy Lever Duffy

Written by teachers for teachers, this text offers a clear and current look at the range of educational technologies and how teachers can effectively use technology to enhance learning.

Written by Teachers for Teachers, this text provides readers with a clear understanding of educational media and how it can be used effectively to enhance learning.  The text explores the current and emerging technologies and multimedia available to teachers while consistently maintaining an instructional focus. Pre-service and in-service teachers.

Table of Contents:

	Foreword
	Preface
Pt. 1	Technologies for Teaching and Learning	1
Ch. 1	Theoretical Foundations	2
Ch. 2	Designing and Planning Technology-Enhanced Instruction	32
Pt. 2	Applying Technologies for Effective Instruction	71
Ch. 3	Introduction to Personal Computers in the Classroom	72
Ch. 4	Digital Technologies in the Classroom	102
Ch. 5	Administrative Software	128
Ch. 6	Academic Software	166
Ch. 7	Networks and the Internet	200
Ch. 8	Using the Web for Teaching and Learning	232
Ch. 9	Audio and Visual Technologies	270
Ch. 10	Video Technologies	308
Pt. 3	Technology in Schools, Changing Teaching and Learning	339
Ch. 11	Distance Education: Using Technology to Redefine the Classroom	340
Ch. 12	Issues in Implementing Technology in Schools	374
App. A	National Educational Technology Standards for Teachers and Students	405
App. B	Educational Technology Resources and Organizations	407
	Photo Credits	408
	Glossary	409
	References	421
	Index	429