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EBOOK: College Algebra with Trigonometry
Barnett, Ziegler, Byleen, and Sobecki’s College Algebra with Trigonometry text is designed to be user friendly and to maximize student comprehension by emphasizing computational skills, ideas, and problem solving as opposed to mathematical theory. The large number of pedagogical devices employed in this text will guide a student through the course. Integrated throughout the text, students and instructors will find Explore-Discuss boxes which encourage students to think critically about mathematical concepts. In each section, the worked examples are followed by matched problems that reinforce the concept being taught. In addition, the text contains an abundance of exercises and applications that will convince students that math is useful. A MathZone site featuring algorithmic exercises, videos, and other resources accompanies the text.
Semigroups: Proc Of The International Conference
This book contains contributions by leading experts which cover an extensive range of topics in semigroups theory. Some of the articles exhibit the strong links with theoretical computer science. Several survey articles summarize the salient features of special fields of the theory of particular interest in the contemporary research. Special care has been taken in the presentation of the papers, making them accessible to a large audience.
Mathematics across the Iron Curtain
The theory of semigroups is a relatively young branch of mathematics, with most of the major results having appeared after the Second World War. This book describes the evolution of (algebraic) semigroup theory from its earliest origins to the establishment of a full-fledged theory. Semigroup theory might be termed `Cold War mathematics' because of the time during which it developed. There were thriving schools on both sides of the Iron Curtain, although the two sides were not always able to communicate with each other, or even gain access to the other's publications. A major theme of this book is the comparison of the approaches to the subject of mathematicians in East and West, and the study of the extent to which contact between the two sides was possible.
Applying Functions to Everyday Life
Functions, the language of advanced mathematical processes, model input and output. Some functions are direct, such as the result of pressing a computer key. Others are more complex, such as investigating car crashes or launching a satellite. This book discusses how the inputs and outputs of functions are at play in our daily lives.
Applying Modeling to Everyday Life
Modeling offers us a way to explain past natural and cultural phenomena, and perhaps more importantly, it gives us mathematical forecasts for the future. This title explores familiar models such as linear regression and computer modeling to show how some aspects of everyday life, such as weather, can be shaped and predicted by mathematics.
Applying Algebra to Everyday Life
Much more than finding x, algebra forms the basis to describe any process that has variation. Everyday numbers like money and time are common variables. In this book, key concepts from algebra, such as lines, polynomials and the quadratic formula, are shown at work in surprising applications including industrial baking, robotics, and the natural world.
Nineteen Papers on Algebraic Semigroups
This volume contains papers selected by leading specialists in algebraic semigroups in the U.S., the United Kingdom, and Australia. Many of the papers strongly influenced the development of algebraic semigroups, but most were virtually unavailable outside the U.S.S.R. Written by some of the most prominent Soviet researchers in the field, the papers have a particular emphasis on semigroups of transformations. Boris Schein of the University of Arkansas is the translator.
Applying Number and Quantity to Everyday Life
Although we learn the fundamentals of counting and measuring in our early years, these concepts form the foundation of complex processes, from mountain climbing and skydiving to video game design. This title examines the seemingly simple ideas of number and quantity and shows how they are used in real life.
Semigroups and Their Applications
Most papers published in this volume are based on lectures presented at the Chico Conference on Semigroups held on the Chico campus of the Cal ifornia State University on April 10-12, 1986. The conference was spon sored by the California State University, Chico in cooperation with the Engineering Computer Sciences Department of the Pacific Gas and Electric Company. The program included seven 50-minute addresses and seventeen 30-minute lectures. Speakers were invited by the organizing committee consisting of S. M. Goberstein and P. M. Higgins. The purpose of the conference was to bring together some of the leading researchers in the area of semigroup theory for a discussion of major recent developments in the field. The algebraic theory of semigroups is growing so rapidly and new important results are being produced at such a rate that the need for another meeting was well justified. It was hoped that the conference would help to disseminate new results more rapidly among those working in semi groups and related areas and that the exchange of ideas would stimulate research in the subject even further. These hopes were realized beyond all expectations.
Building Recommendation Systems in Python and JAX
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, and Weights & Biases. You'll learn: The data essential for building a RecSys How to frame your data and business as a RecSys problem Ways to evaluate models appropriate for your system Methods to implement, train, test, and deploy the model you choose Metrics you need to track to ensure your system is working as planned How to improve your system as you learn more about your users, products, and business case
