Linear Algebra Crash Course (Black and White) PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Linear Algebra Crash Course (Black and White) PDF full book. Access full book title Linear Algebra Crash Course (Black and White) by Wesolvethem. Download full books in PDF and EPUB format.
Author: Wesolvethem Publisher: Createspace Independent Publishing Platform ISBN: 9781544269931 Category : Languages : en Pages : 36
Book Description
Free math and physics resources via JonathanTullis.com My formula sheets and crash course books are designed to assist college students throughout their STEM degree. I have isolated all of the most important information from all previous courses, current courses, and future courses that STEM majors must take i.e. Algebra, Trigonometry, PreCalculus, Calculus (all areas), Linear Algebra, Differential Equations, Physics and more.
Author: Wesolvethem Publisher: Createspace Independent Publishing Platform ISBN: 9781544269931 Category : Languages : en Pages : 36
Book Description
Free math and physics resources via JonathanTullis.com My formula sheets and crash course books are designed to assist college students throughout their STEM degree. I have isolated all of the most important information from all previous courses, current courses, and future courses that STEM majors must take i.e. Algebra, Trigonometry, PreCalculus, Calculus (all areas), Linear Algebra, Differential Equations, Physics and more.
Author: Darren Walker Publisher: Mercury Learning and Information ISBN: 168392830X Category : Science Languages : en Pages : 300
Book Description
This updated edition provides an introduction to computational physics in order to perform physics experiments on the computer. Computers can be used for a wide variety of scientific tasks, from the simple manipulation of data to simulations of real-world events. This book is designed to provide the reader with a grounding in scientific programming. It contains many examples and exercises developed in the context of physics problems. The new edition now uses C++ as the primary language. The book covers topics such as interpolation, integration, and the numerical solutions to both ordinary and partial differential equations. It discusses simple ideas, such as linear interpolation and root finding through bisection, to more advanced concepts in order to solve complex differential equations. It also contains a chapter on high performance computing which provides an introduction to parallel programming. FEATURES: Includes some advanced material as well as the customary introductory topics Uses a comprehensive C++ library and several C++ sample programs ready to use and build into a library of scientific programs Features problem-solving aspects to show how problems are approached and to demonstrate the methods of constructing models and solutions
Author: Jason Brownlee Publisher: Machine Learning Mastery ISBN: Category : Computers Languages : en Pages : 211
Book Description
Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover what linear algebra is, the importance of linear algebra to machine learning, vector, and matrix operations, matrix factorization, principal component analysis, and much more.
Author: Shin Takahashi Publisher: National Geographic Books ISBN: 1593274130 Category : Mathematics Languages : en Pages : 0
Book Description
Reiji wants two things in life: a black belt in karate and Misa, the girl of his dreams. Luckily, Misa's big brother is the captain of the university karate club and is ready to strike a deal: Reiji can join the club if he tutors Misa in linear algebra. Follow along in The Manga Guide to Linear Algebra as Reiji takes Misa from the absolute basics of this tricky subject through mind-bending operations like performing linear transformations, calculating determinants, and finding eigenvectors and eigenvalues. With memorable examples like miniature golf games and karate tournaments, Reiji transforms abstract concepts into something concrete, understandable, and even fun. As you follow Misa through her linear algebra crash course, you'll learn about: –Basic vector and matrix operations such as addition, subtraction, and multiplication –Linear dependence, independence, and bases –Using Gaussian elimination to calculate inverse matrices –Subspaces, dimension, and linear span –Practical applications of linear algebra in fields like computer graphics, cryptography, and engineering But Misa's brother may get more than he bargained for as sparks start to fly between student and tutor. Will Reiji end up with the girl—or just a pummeling from her oversized brother? Real math, real romance, and real action come together like never before in The Manga Guide to Linear Algebra.
Author: Ivan Savov Publisher: ISBN: 9780992001025 Category : MATHEMATICS Languages : en Pages : 596
Book Description
This textbook covers the material for an undergraduate linear algebra course: vectors, matrices, linear transformations, computational techniques, geometric constructions, and theoretical foundations. The explanations are given in an informal conversational tone. The book also contains 100+ problems and exercises with answers and solutions. A special feature of this textbook is the prerequisites chapter that covers topics from high school math, which are necessary for learning linear algebra. The presence of this chapter makes the book suitable for beginners and the general audience-readers need not be math experts to read this book. Another unique aspect of the book are the applications chapters (Ch 7, 8, and 9) that discuss applications of linear algebra to engineering, computer science, economics, chemistry, machine learning, and even quantum mechanics.
Author: Wesolvethem
Author: Wesolvethem
Author: Wesolvethem Team
Author: Raymond A. Beauregard
Author: Daniel Zelinsky
Author: Hal G. Moore
Author: Kenneth Hoffman
Author: Darren Walker
Author: Jason Brownlee
Author: Shin Takahashi
Author: Ivan Savov