Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares (Stephen Boyd, et al)

 
0.0 (0)
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares (Stephen Boyd, et al)

This ground-breaking book offers a novel method of teaching linear algebra by fusing clear explanations with a multitude of real-world examples.

It covers the elements of linear algebra—vectors, matrices, and least squares—needed for engineering applications while discussing examples from data science, machine learning, artificial intelligence, signal and image processing, tomography, navigation, control, and finance. It assumes no prior knowledge of the subject.

With lecture slides, supplementary computational tasks in Julia and MATLAB, and data sets accompanying the book online, students may test their understanding and use their skills to solve real-world problems through the various practical exercises scattered throughout. This self-contained manual gives beginners the grounding they need to move on to more advanced study and is appropriate for both one-semester and one-quarter courses as well as self-study.

Ebook Details

About the Authors
Stephen Boyd holds courtesy appointments in the departments of computer science and management science and engineering in addition to his positions as the Samsung Professor of Engineering and Professor of Electrical Engineering at Stanford University in California. Convex Optimization, co-authored by him and Lieven Vandenberghe (Cambridge, 2004), is his work.
Published
Published Date / Year
1 edition (August 23, 2018)
License(s)
Copyright in this book is held by Cambridge University Press, who have kindly agreed to allow us to keep the book available on the web
Hardcover
474 pages
eBook Format
PDF (698 pages)
Language
English
ISBN-10
1316518965
ISBN-13
978-1316518960

Similar Programming & Computer Books

Analytic Number Theory: A Tribute to Gauss and Dirichlet (William Duke, et al)
The essays in this volume are based on presentations made at the Gauss-Dirichlet Conference, which took place in Gottingen, Germany, from June 20–24, 2005. The conference honored the 200th...
The Story of Euclid (W. B. Frankland)
Greek mathematician Euclid is frequently referred to as the "Father of Geometry." His Elements was the primary textbook for teaching mathematics (particularly geometry) from the time of its release...
Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
The Pure Logic Of Choice (Richard D. Fuerle)
A broad theory of economics based on free will is presented in this free programming book. The assumption that humans have free will and the ability to alter physical...
Portfolio Theory and Financial Analyses (Robert Alan Hill)
Whether they involve calculating the return on a portfolio, analyzing portfolio risk, or assessing the effectiveness of the portfolio management process, this free programming book links each of the...
Price Theory: An Intermediate Text (David D. Friedman)
In order to help the reader grasp the economic way of thinking, the author first gives verbal, intuitive explanations of the topics before using graphs and/or calculus to illustrate...
Mathematical Models in Portfolio Analysis (Farida Kachapova)
This free programming book presents the mathematical theory of portfolio modeling in financial mathematics as a coherent whole, with justifications for each step. ...
Semantics in Action - Applications and Scenarios (Muhammad Tanvir Afzal)
The current book is an amalgamation of many excellent concepts, applications, case studies, and useful systems in the Semantics field. There are two separate volumes to the book. The...
Modeling, Programming and Simulations Using LabVIEW™ Software (Riccardo De Asmundis)
This free programming book presents a variety of applications that cover a wide range of possibilities. We progress from straightforward or distributed control software to LabVIEW modeling, then use...
Technology and Engineering Applications of SIMULINK (Subhas Chakravarty)
This free programming book's topic is to outline the steps needed to model and simulate the fundamental dynamic system issues in SIMULINK. ...

Others Programming Books by Cambridge University Press

Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
Computational Complexity: A Conceptual Perspective (Oded Goldreich)
The study of the innate complexity of computer jobs is introduced conceptually in this free programming book. It is meant to be used as a textbook or for independent...
Algorithmic Number Theory: Lattices, Number Fields, Curves and Cryptography (Joe Buhler, et al)
One of the oldest and most fascinating branches of mathematics is number theory. Number theory has always involved computation, but this role has grown significantly over the past 20...
Combinatorial and Computational Geometry (Jacob E. Goodman, et al)
This volume, which consists of 32 papers on a variety of subjects of current research interest, is the result of the fusion of discrete and computational geometry. ...
Applied Combinatorics on Words (M. Lothaire)
This volume's goal is to provide a comprehensive analysis of some of the main areas in which combinatorics is applied. Core algorithms for text processing, natural language processing, audio...
Numerical Recipes in C: The Art of Scientific Computing, Second Edition (William H. Press, et al)
Numerical Recipes is a comprehensive handbook and reference on scientific computing and the result of a special partnership between four top researchers in academia and business. ...
Algebraic Combinatorics on Words (M. Lothaire)
Word-based combinatorics has independently developed within a variety of fields of mathematics, including number theory, group theory, and probability. It also commonly shows up in issues pertaining to theoretical...
Algebraic Topology (Allen Hatcher)
Algebraic topology is one of the three or four foundational first-year graduate mathematics courses at the majority of big universities.  
Model Theory, Algebra, and Geometry (Deirdre Haskell, et al)
Model theory is a subfield of mathematical logic that has found use in a variety of algebraic and geometric contexts.  
Classical Algebraic Geometry: A Modern View (Igor V. Dolgachev)
The robust general machinery created in the later half of the 20th century has been extremely helpful for algebraic geometry.  
Algorithms for Modular Elliptic Curves (J. E. Cremona)
Elliptic curves play a crucial and expanding role in computational number theory, where they are used extensively in processes like factorization, primality testing, and cryptography.
Random Graphs and Complex Networks (Remco van der Hofstad)
In this thorough introduction to network science, Random Graphs are used as representations of networks in the actual world. Such networks have unique empirical characteristics, and a plethora of...
Mathematical Illustrations: A Manual of Geometry and PostScript (Bill Casselman)
Anyone with a rudimentary understanding of coordinate geometry can benefit from this hands-on introduction to the methods required to create beautiful mathematical graphics.
Elementary Probability for Applications (Rick Durrett)
This engaging and accessible introduction to probability theory focuses on the findings that have the greatest practical value, such as Markov chains and combinatorial probability.
Advanced Data Analysis from an Elementary Point of View (Cosma Rohilla Shalizi)
For advanced undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression, this textbook on data analysis methods is designed.
Categorical Homotopy Theory (Emily Riehl)
This book develops categorical abstract homotopy theory with a strong emphasis on instances.
Information Theory, Inference and Learning Algorithms (David J. C. MacKay)
Inference and information theory, which are frequently taught separately, are combined in this engaging textbook.
Probability on Trees and Networks (Russell Lyons, et al.)
This book focuses on a few discrete probability topics that are now under active development on infinite graphs. Naturally, analyses of finite graphs are also conducted, although typically with...
Engineering Design Optimization (Joaquim R. Martins, et al)
Humans have a knack for optimization. People are always looking for ways to make their lives and the systems around them better.
An Invitation to Applied Category Theory: Seven Sketches in Compositionality (Brendan Fong, et al)
Category Theory is unequaled in its capacity to arrange and layer abstractions and uncover commonalities across structures of all types. It is now proven to be a potent instrument...

User reviews

There are no user reviews for this listing.
Ratings
Rate this Book
Comments