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Author: McGraw-Hill Education
Publisher: McGraw-Hill Education
ISBN: 9780076021925
Category : Mathematics
Languages : en
Pages : 664
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Book Description
Author: McGraw-Hill Education
Publisher: McGraw-Hill Education
ISBN: 9780076021925
Category : Mathematics
Languages : en
Pages : 664
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Book Description
Author: Siegfried Engelmann
Publisher:
ISBN: 9780076021963
Category : Algebra
Languages : en
Pages : 208
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Book Description
Author: Lynn Marecek
Publisher:
ISBN: 9781938168994
Category : Algebra
Languages : en
Pages : 1138
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Book Description
"Prealgebra is designed to meet scope and sequence requirements for a one-semester prealgebra course. The text introduces the fundamental concepts of algebra while addressing the needs of students with diverse backgrounds and learning styles. Each topic builds upon previously developed material to demonstrate the cohesiveness and structure of mathematics. Prealgebra follows a nontraditional approach in its presentation of content. The beginning, in particular, is presented as a sequence of small steps so that students gain confidence in their ability to succeed in the course. The order of topics was carefully planned to emphasize the logical progression throughout the course and to facilitate a thorough understanding of each concept. As new ideas are presented, they are explicitly related to previous topics."--BC Campus website.
Author: Suvrit Sra
Publisher: MIT Press
ISBN: 026201646X
Category : Computers
Languages : en
Pages : 509
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Book Description
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields. Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.
Author: Siegfried Engelmann
Publisher: Educational Technology
ISBN: 9780877781424
Category : Education
Languages : en
Pages : 136
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Book Description
Author: Beverlee Jobrack
Publisher: Rowman & Littlefield
ISBN: 1442211423
Category : Curriculum planning
Languages : en
Pages : 263
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Book Description
"In Tyranny of the Textbook, a retired educational director, gives a fascinating look behind-the-scenes of how K-12 textbooks are developed, written, adopted, and sold. Readers will come to understand why all the reform efforts have failed. Most importantly, the author clearly spells out how the system can change so that reforms and standards have a shot at finally being effective"--
Author: Karl Johan Åström
Publisher: Princeton University Press
ISBN: 069121347X
Category : Technology & Engineering
Languages : en
Pages :
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Book Description
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Author: Jan R. Magnus
Publisher: John Wiley & Sons
ISBN: 1119541166
Category : Mathematics
Languages : en
Pages : 660
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Book Description
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it. Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference. Fulfills the need for an updated and unified treatment of matrix differential calculus Contains many new examples and exercises based on questions asked of the author over the years Covers new developments in field and features new applications Written by a leading expert and pioneer of the theory Part of the Wiley Series in Probability and Statistics Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Author: Jessika Sobanski
Publisher: Learning Express (NY)
ISBN: 9781576853900
Category : Business & Economics
Languages : en
Pages : 148
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Book Description
"Simple" math-like fractions, decimals, and percentages-can prove maddeningly difficult. Math Essentials helps readers learn to solve these everyday, yet complex math problems and meet the demands of both the workplace and the marketplace. A handy review of the basics, this book focuses on the practical and daily uses of math, such as calculating how much money a low-interest loan will save, determining the effect of mortgage rate changes, computing profits on a stock transaction, and figuring out how much of that salary increase will actually end up in a paycheck.
Author: Richard Rusczyk
Publisher:
ISBN: 9781934124222
Category : Algebra
Languages : en
Pages : 224
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Book Description
