Anylogic 7 In Three Days

The first practical textbook on AnyLogic 7 from AnyLogic developers. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. The book is structured around three examples: a model of a consumer market, an epidemic model, and an airport model. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic 7.

THE NEW EDITION OF THE BOOK, COMPLETELY UP-TO-DATE (FOR ANYLOGIC 8.3.2) IS AVAILABLE HERE: https://www.amazon.com/AnyLogic-Three-Days-Simulation-Modeling-ebook/dp/B07FYP8Y3C

AnyLogic 7 in Three Days Japanese Edition THIRD EDITION, with a new discrete-event model of a small job shop and demonstration of the built-in AnyLogic database. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. The book is structured around four examples: a model of a consumer market, an epidemic model, a model of a small job shop, and an airport model. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic 7. All the examples have been updated to conform to the latest version of the software, AnyLogic 7.3.4. CONTENTS: Modeling and simulation modeling AGENT-BASED MODELING MARKET MODEL Phase 1. Creating the agent population Phase 2. Defining a consumer behavior Phase 3. Adding a chart to visualize the model output Phase 4. Adding word of mouth effect Phase 5. Considering product discards Phase 6. Considering delivery time Phase 7. Simulating consumer impatience Phase 8. Comparing model runs with different parameter values SYSTEM DYNAMICS MODELING SEIR MODEL Phase 1. Creating a stock and flow diagram Phase 2. Adding a plot to visualize dynamics Phase 3. Parameter variation experiment Phase 4. Calibration experiment DISCRETE-EVENT MODELING WITH ANYLOGIC JOB SHOP MODEL Phase 1. Creating a simple model Phase 2. Adding resources Phase 3. Creating 3D animation Phase 4. Modeling pallet delivery by trucks PEDESTRIAN MODELING AIRPORT MODEL Phase 1. Defining the simple pedestrian flow Phase 2. Drawing 3D animation Phase 3. Adding security checkpoints Phase 4. Adding check-in facilities Phase 5. Defining the boarding logic Phase 6. Setting up flights from MS Excel spreadsheet

This is the first practical textbook on AnyLogic 6 from AnyLogic developers. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. This book is based on the 3-day AnyLogic training. The book is structured around four examples: a manufacturing model, a warehouse model, a model of a consumer market, and an epidemic model. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

NEW YORK TIMES BESTSELLER • The beloved Pulitzer Prize–winning author brings us the story of Ian Bedloe, the ideal teenage son, leading a cheery, apple-pie life with his family in Baltimore. That is, until a careless and vicious rumor leads to a devastating tragedy. Imploding from guilt, Ian believes he is the one responsible for the tragedy. No longer a star athlete with a bright future, and desperately searching for salvation, he stumbles across a storefront with a neon sign that simply reads: CHURCH OF THE SECOND CHANCE. Ian has always viewed his penance as a burden. But through the power of faith and the love of family, he begins to view it as a gift. After years spent trying to atone for his foolish mistakes, Ian finds forgiveness and peace in the life he builds for himself.

Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

Winning a Governor General’s Literary Award for Fiction, the Kiriyama Pacific Rim Book Prize and the Scotiabank Giller Prize, Anil’s Ghost is another award-winning novel from Michael Ondaatje. Steeped in centuries of cultural achievement and tradition, Sri Lanka has been ravaged in the late twentieth century by bloody civil war. Anil Tissera, born in Sri Lanka but educated in England and the U.S., is sent by an international human rights group to participate in an investigation into suspected mass political murders in her homeland. Working with an archaeologist, she discovers a skeleton whose identity takes Anil on a fascinating journey that involves a riveting mystery. What follows, in a novel rich with character, emotion, and incident, is a story about love and loss, about family, identity and the unknown enemy. And it is a quest to unlock the hidden past—like a handful of soil analyzed by an archaeologist, the story becomes more diffuse the farther we reach into history. A universal tale of the casualties of war, unfolding as a detective story, the book gradually gives way to a more intricate exploration of its characters, a symphony of loss and loneliness haunted by a cast of solitary strangers and ghosts. The atrocities of a seemingly futile, muddled war are juxtaposed against the ancient, complex and ultimately redemptive culture and landscape of Sri Lanka.