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Engineers looking for an accessible approach to calculus will appreciate Young’s introduction. The book offers a clear writing style that helps reduce any math anxiety they may have while developing their problem-solving skills. It incorporates Parallel Words and Math boxes that provide detailed annotations which follow a multi-modal approach. Your Turn exercises reinforce concepts by allowing them to see the connection between the exercises and examples. A five-step problem solving method is also used to help engineers gain a stronger understanding of word problems.
The Student Solutions Manual to Accompany Advanced Engineering Mathematics, Fifth Edition is designed to help you get the most out of your course Engineering Mathematics course. It provides the answers to every third exercise from each chapter in your textbook. This enables you to assess your progress and understanding while encouraging you to find solutions on your own. Students, use this tool to: -Check answers to selected exercises -Confirm that you understand ideas and concepts -Review past material -Prepare for future material Get the most out of your Advanced Engineering Mathematics course and improve your grades with your Student Solutions Manual!
Written by acclaimed author and mathematician George Simmons, this revision is designed for the calculus course offered in two and four year colleges and universities. It takes an intuitive approach to calculus and focuses on the application of methods to real-world problems. Throughout the text, calculus is treated as a problem solving science of immense capability.
The Student Solutions Manual to Accompany Advanced Engineering Mathematics, Seventh Edition is designed to help you get the most out of your course Engineering Mathematics course. It provides the answers to selected exercises from each chapter in your textbook. This enables you to assess your progress and understanding while encouraging you to find solutions on your own. Students, use this tool to: Check answers to selected exercises Confirm that you understand ideas and concepts Review past material Prepare for future material Get the most out of your Advanced Engineering Mathematics course and improve your grades with your Student Solutions Manual!
David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.
The authors present a wide-ranging and comprehensive textbook for physical scientists who need to use the tools of mathematics for practical purposes
Provides a solutions manual to accompany the twelth edition of the popular text.
This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB® programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.