No bullshit guide to math and physics

No bullshit guide to math and physics

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  • Author: Ivan Savov
  • Publisher: Minireference Co.
  • ISBN: 0992001005
  • Category : Mathematics
  • Languages : en
  • Pages : 137

Often calculus and mechanics are taught as separate subjects. It shouldn't be like that. Learning calculus without mechanics is incredibly boring. Learning mechanics without calculus is missing the point. This textbook integrates both subjects and highlights the profound connections between them. This is the deal. Give me 350 pages of your attention, and I'll teach you everything you need to know about functions, limits, derivatives, integrals, vectors, forces, and accelerations. This book is the only math book you'll need for the first semester of undergraduate studies in science. With concise, jargon-free lessons on topics in math and physics, each section covers one concept at the level required for a first-year university course. Anyone can pick up this book and become proficient in calculus and mechanics, regardless of their mathematical background.


Linear Algebra Thoroughly Explained

Linear Algebra Thoroughly Explained

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  • Author: Milan Vujicic
  • Publisher: Springer Science & Business Media
  • ISBN: 3540746390
  • Category : Science
  • Languages : en
  • Pages : 294

The author of this book was Professor of Theoretical Physics at the University of Belgrade. The book is based on lectures he gave there to both undergraduate and postgraduate students over a period of several decades. It sets out to explain Linear Algebra from its fundamentals to the most advanced level. A special feature of this book is its didactical approach, with a myriad of thoroughly worked examples and excellent illustrations, which allows the reader to approach the subject from any level and to proceed to that of the most advanced applications. Throughout, the subject is explained with painstaking care.


Calculus

Calculus

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  • Author: Morris Kline
  • Publisher: Courier Corporation
  • ISBN: 0486134768
  • Category : Mathematics
  • Languages : en
  • Pages : 962

Application-oriented introduction relates the subject as closely as possible to science with explorations of the derivative; differentiation and integration of the powers of x; theorems on differentiation, antidifferentiation; the chain rule; trigonometric functions; more. Examples. 1967 edition.


Advanced Linear Algebra

Advanced Linear Algebra

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  • Author: Steven Roman
  • Publisher: Springer Science & Business Media
  • ISBN: 038727474X
  • Category : Mathematics
  • Languages : en
  • Pages : 488

Covers a notably broad range of topics, including some topics not generally found in linear algebra books Contains a discussion of the basics of linear algebra


Linear Algebra Via Exterior Products

Linear Algebra Via Exterior Products

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  • Author: Sergei Winitzki
  • Publisher: Sergei Winitzki
  • ISBN: 140929496X
  • Category : Science
  • Languages : en
  • Pages : 286

This is a pedagogical introduction to the coordinate-free approach in basic finite-dimensional linear algebra. The reader should be already exposed to the array-based formalism of vector and matrix calculations. This book makes extensive use of the exterior (anti-commutative, "wedge") product of vectors. The coordinate-free formalism and the exterior product, while somewhat more abstract, provide a deeper understanding of the classical results in linear algebra. Without cumbersome matrix calculations, this text derives the standard properties of determinants, the Pythagorean formula for multidimensional volumes, the formulas of Jacobi and Liouville, the Cayley-Hamilton theorem, the Jordan canonical form, the properties of Pfaffians, as well as some generalizations of these results.


Basics of Linear Algebra for Machine Learning

Basics of Linear Algebra for Machine Learning

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  • Author: Jason Brownlee
  • Publisher: Machine Learning Mastery
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 211

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.


Introduction to Applied Linear Algebra

Introduction to Applied Linear Algebra

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  • Author: Stephen Boyd
  • Publisher: Cambridge University Press
  • ISBN: 1316518965
  • Category : Business & Economics
  • Languages : en
  • Pages : 477

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.


The Pleasures of Probability

The Pleasures of Probability

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  • Author: Richard Isaac
  • Publisher: Springer Science & Business Media
  • ISBN: 146120819X
  • Category : Mathematics
  • Languages : en
  • Pages : 249

The ideas of probability are all around us. Lotteries, casino gambling, the al most non-stop polling which seems to mold public policy more and more these are a few of the areas where principles of probability impinge in a direct way on the lives and fortunes of the general public. At a more re moved level there is modern science which uses probability and its offshoots like statistics and the theory of random processes to build mathematical descriptions of the real world. In fact, twentieth-century physics, in embrac ing quantum mechanics, has a world view that is at its core probabilistic in nature, contrary to the deterministic one of classical physics. In addition to all this muscular evidence of the importance of probability ideas it should also be said that probability can be lots of fun. It is a subject where you can start thinking about amusing, interesting, and often difficult problems with very little mathematical background. In this book, I wanted to introduce a reader with at least a fairly decent mathematical background in elementary algebra to this world of probabil ity, to the way of thinking typical of probability, and the kinds of problems to which probability can be applied. I have used examples from a wide variety of fields to motivate the discussion of concepts.


Linear Algebra Problem Book

Linear Algebra Problem Book

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  • Author: Paul R. Halmos
  • Publisher: American Mathematical Soc.
  • ISBN: 1614442126
  • Category : Mathematics
  • Languages : en
  • Pages : 349

Linear Algebra Problem Book can be either the main course or the dessert for someone who needs linear algebraand today that means every user of mathematics. It can be used as the basis of either an official course or a program of private study. If used as a course, the book can stand by itself, or if so desired, it can be stirred in with a standard linear algebra course as the seasoning that provides the interest, the challenge, and the motivation that is needed by experienced scholars as much as by beginning students. The best way to learn is to do, and the purpose of this book is to get the reader to DO linear algebra. The approach is Socratic: first ask a question, then give a hint (if necessary), then, finally, for security and completeness, provide the detailed answer.


Practice Makes Perfect Linear Algebra (EBOOK)

Practice Makes Perfect Linear Algebra (EBOOK)

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  • Author: Sandra Luna McCune
  • Publisher: McGraw Hill Professional
  • ISBN: 0071778446
  • Category : Business & Economics
  • Languages : en
  • Pages : 241

Expert instruction and plenty of practice to reinforce advanced math skills Presents concepts with application to natural sciences, engineering, economics, computer science, and other branches of mathematics Complementary to most linear algebra courses or as a refresher text More than 500 exercises and answers Hundreds of solved problems The Practice Makes Perfect series has sold more than 1 million copies worldwide