Best Mathematical Matrices Books

Here you will get Best Mathematical Matrices Books For you.This is an up-to-date list of recommended books.

1. Humble Math – 100 Days of Timed Tests: Addition and Subtraction: Grades K-2, Math Drills, Digits 0-20, Reproducible Practice Problems

Author: by Humble Math
Libro Studio LLC
108 pages

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Answer key is included in the back of this book, so students can check their answers easily. A few minutes of math a day can help students tremendously. This workbook has over 100 days of reproducible addition and subtraction practice problems for digits 0-20.

Use these pages as timed tests to improve fluidity or let students complete them at their leisure.

2. Special Relativity and Classical Field Theory: The Theoretical Minimum

Author: by Leonard Susskind
Basic Books
448 pages

Special Relativity and Classical Field Theory: The Theoretical Minimum Cover

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The third volume in the bestselling physics series cracks open Einstein’s special relativity and field theory Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein’s special relativity and Maxwell’s classical field theory.

Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It’s a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics’ deepest truths.

3. Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week

Author: by Timothy C. Needham
135 pages

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Become a Python Programming Expert With Ease! Python is a simple yet powerful programming language that can enable you to start thinking like a programmer right from the beginning. It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all.

Conversely, you will be able to concentrate on learning concepts and paradigms of programming. This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects!

By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes.Let’s begin.

Here what you’ll learn after downloading this Python for Beginners book: IntroductionChapter 1: Python: A Comprehensive Background Chapter 2: How to Download and Install PythonChapter 3: Python GlossaryChapter 4: Interacting with PythonChapter 5: Using Turtle for a Simple DrawingChapter 6: VariablesChapter 7: LoopsChapter 8: Native Python DatatypesChapter 9: Python DictionariesChapter 10: Boolean Logic and Conditional StatementsChapter 11: Constructing While’ Loops In PythonChapter 12: Constructing For Loops’ In Python ProgrammingChapter 13: Constructing Classes and Defining Objects This Book Is Perfect For: – Total beginners with zero programming experience – Returning professionals who haven’t written code in years- Seasoned professionals looking for a fast, simple, crash course in Python Download your copy today!

4. Linear Algebra: Theory, Intuition, Code

Author: by Mike X Cohen
February 8, 2021

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Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on. The way linear algebra is presented in traditional textbooks is different from how professionals use linear algebra in computers to solve real-world applications in machine learning, data science, statistics, and signal processing.

For example, the “determinant” of a matrix is important for linear algebra theory, but should you actually use the determinant in practical applications? The answer may surprise you! If you are interested in learning the mathematical concepts linear algebra and matrix analysis, but also want to apply those concepts to data analyses on computers (e.G., statistics or signal processing), then this book is for you.

You’ll see all the math concepts implemented in MATLAB and in Python. Unique aspects of this book: – Clear and comprehensible explanations of concepts and theories in linear algebra. Several distinct explanations of the same ideas, which is a proven technique for learning.

5. PYTHON: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Crash Course for Beginners – 5 Manuscripts in 1 Book

Author: by TechExp Academy
442 pages

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Do you want to learn Python Programming well and fast? Are you looking for the best Python for Data Analysis and Analytics course? Do you want to learn Data Science and how to leverage Python for it? Do want to learn Python Machine Learning and start implementing models?

If yes, then this Python for Beginners Crash Course is for you. This is the most complete Python guide with 5 Manuscripts in 1 book:1-Python For Beginners2-Python Advanced Programming3-Python for Data Analysis & Analytics4-Python for Data Science5-Python Machine LearningA great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.

In Manuscripts 1 and 2 Python For Beginners and Python Advanced Programming you’ll learn: What is Python- How to install Python and what is the best distribution- What are data types and variables- How to work with numbers in Python- What operators there are in Python and when to use them- How to manipulate Strings- How to implement Program Flow Controls- How to implement loops in Python- What are Python lists, Tuples, Sets, Dictionaries, and how to use them- How to create modules and functions- How to program according to the Object-Oriented paradigm- How to create classes- What are and how to use Inheritance, Polymorphism, Abstraction, and EncapsulationAnd much more…

6. Learn Game Theory: A Primer to Strategic Thinking and Advanced Decision-Making. (Strategic Thinking Skills Book 1)

Author: by Albert Rutherford
March 25, 2021

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Master strategic thinking and gain competitive advantage. Have you ever wondered how to make better decisions and solve problems with more ease? Learn Game Theory shares the well-hidden secrets of great decision-makers. Use Logic and Reason to Manage Uncertainty. Life is full of uncertainty.

You don’t know what lies ahead. But you can learn to control the controllable by using logic and reason. With the help of this book, you’ll discover new ways to think about – and solve – problems more efficiently than ever before.

Discover how strategic games model real-life behavior. You would be surprised how many game theory concepts affect your life. Game theory is a management device that helps rational decision-making. Game Theory is a branch of mathematics dedicated to the study of rational, strategic decision-making.

You can apply it in many different fields, from psychology, economics, and politics to military strategy, business, and even retail pricing! It focuses on conflict and cooperation between intelligent, rational players, analyzing how to optimize one’s decisions, taking into account others’ actions.

7. Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)

Author: by Gene H. Golub
784 pages

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A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice. The fourth edition of Gene H. Golub and Charles F. Van Loan’s classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community.

Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool. This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on fast transforms parallel LU discrete Poisson solvers pseudospectra structured linear equation problems structured eigenvalue problems large-scale SVD methods polynomial eigenvalue problems Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literatureeverything needed to become a matrix-savvy developer of numerical methods and software.

8. Coding the Matrix: Linear Algebra through Applications to Computer Science

Author: by Philip N. Klein
Newtonian Press
548 pages

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An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications.

Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google’s ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix. Com provides data and support code.

Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program

9. Addition Subtraction Practice Workbook: Kindergarten Math Workbook Age 5-7 | Homeschool Kindergarteners and 1st Grade Activities | Place Value, … + Worksheets & More (Coloring Books for Kids)

Author: by Scholastic Panda Education
110 pages

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Looking for fun kinder educational workbooks?Look no further! This kindergarten math workbook will give your child a jumpstart with our latest kinder learning book that teaches the basics of math to kids. Our addition and subtraction kindergarten math workbook for kids is an excellent way for your little one to learn basic mathematical skills such as number recognition, decomposing numbers, manipulatives, regrouping, telling time, money and even fun word problems.

As a mother + daughter team, we know how important (and challenging! It is to keep kids’ attention, which is why we’ve put together a variety of different activities that are both fun and educational! Why You’ll Love this BookFun and essential kinder math activities – Color and Trace the Numbers, Count the Unicorns, and “Subtract the Rocketships” are a few of the fun activities that inspire learning!

Cute and inspiring themes – All of the activities involve a variety of animals, magical creatures, coloring opportunities and jokes to keep your child engaged. Practically sized and high quality paper – The book is sized at 8. 5 x 11 which gives your child plenty of space to complete the exercises.

10. Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality

Author: by J. B. Kuipers
400 pages

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Ever since the Irish mathematician William Rowan Hamilton introduced quaternions in the nineteenth century-a feat he celebrated by carving the founding equations into a stone bridge-mathematicians and engineers have been fascinated by these mathematical objects. Today, they are used in applications as various as describing the geometry of spacetime, guiding the Space Shuttle, and developing computer applications in virtual reality.In this book, J.B.

Kuipers introduces quaternions for scientists and engineers who have not encountered them before and shows how they can be used in a variety of practical situations. The book is primarily an exposition of the quaternion, a 4-tuple, and its primary application in a rotation operator.

But Kuipers also presents the more conventional and familiar 3 x 3 (9-element) matrix rotation operator. These parallel presentations allow the reader to judge which approaches are preferable for specific applications. The volume is divided into three main parts. The opening chapters present introductory material and establish the book’s terminology and notation.

11. Matrix Analysis

Author: by Roger A. Horn
Cambridge University Press
662 pages

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Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This new edition of the acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme, and demonstrates their importance in a variety of applications.

The authors have thoroughly revised, updated, and expanded on the first edition. The book opens with an extended summary of useful concepts and facts and includes numerous new topics and features, such as: – New sections on the singular value and CS decompositions – New applications of the Jordan canonical form – A new section on the Weyr canonical form – Expanded treatments of inverse problems and of block matrices – A central role for the Von Neumann trace theorem – A new appendix with a modern list of canonical forms for a pair of Hermitian matrices and for a symmetric-skew symmetric pair – Expanded index with more than 3,500 entries for easy reference – More than 1,100 problems and exercises, many with hints, to reinforce understanding and develop auxiliary themes such as finite-dimensional quantum systems, the compound and adjugate matrices, and the Loewner ellipsoid – A new appendix provides a collection of problem-solving hints.

12. Data Analytics for Absolute Beginners: Make Decisions Using Every Variable: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning)

Author: by Oliver Theobald
January 6, 2017

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Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell by cell, bit by bit, this book teaches you the vocabulary, tools, and basic algorithms to think like a data scientist.

Like putting together a complex Lego set, each chapter connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems. Who is This Book For?

This book is ideal for anyone interested in making sense of data analytics without the assumption that you understand data science terminology or advanced math. If you’ve tried to learn data analytics before and failed, this book is for you.

Practical ApproachThis book takes a hands-on approach to learning. This includes practical examples, visual examples, as well as two bonus coding exercises in Python, including free video content to walk you through both exercises. By the end of the book, you will have the practical knowledge to tackle real data problems in your organization or daily life.

13. Schaum's Outline of Matrix Operations (Schaum's Outlines)

Author: by Richard Bronson
McGraw-Hill Education
230 pages

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The ideal review for your matrix operations course More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language.

The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. 363 detailed problems with step-by-step solutions Clear, concise explanations of matrix operations Help with Eigenvalues and the QR Algorithm A solved-problem approach that teaches you with hands-on help Exercises for improving your problem-solving skills

14. Matrix Differential Calculus with Applications in Statistics and Econometrics (Wiley Series in Probability and Statistics)

Author: by Jan R. Magnus
504 pages

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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.

15. Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences)

Author: by Professor Marcel F. Neuts
348 pages

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Neuts, Professor Marcel F.