Products related to Algebra:
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Algebra
Algebra fulfills a definite need to provide a self-contained, one volume, graduate level algebra text that is readable by the average graduate student and flexible enough to accomodate a wide variety of instructors and course contents.The guiding philosophical principle throughout the text is that the material should be presented in the maximum usable generality consistent with good pedagogy.Therefore it is essentially self-contained, stresses clarity rather than brevity and contains an unusually large number of illustrative exercises.The book covers major areas of modern algebra, which is a necessity for most mathematics students in sufficient breadth and depth.
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Human Algebra
The album is a word from the wise - from questioning 'fake news' ('Big Little Lies'), to pointing the finger at keyboard warriors ('Armchair Guevara'), and the scourge of knife crime ('Human Algebra'). Human relationships are also touched upon ('Boxing Clever'), along with a touching tribute to the late great Ranking Roger from The Beat ('Parade The Crown').
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Algebra Dominoes
Algebra dominoes include a 28 piece set on thick plastic dominoes. Dominoes come in a collectors tin for storage. Children will love the feel of real dominoes as they complete the algebra matching game. Ages 8
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Algebra Links
Two sets of 24 plastic dominoes featuring simple equations covering the four rules of number. Promotes a deeper understanding of algebra through game play as players attempt to link any correct values shown on their dominoes with dominoes already in
Price: 28.63 £ | Shipping*: 7.19 £
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What is the difference between algebra and sigma-algebra?
Algebra is a collection of subsets of a set that is closed under complementation and countable unions and intersections. It is a structure used in set theory and abstract algebra. On the other hand, a sigma-algebra is a more specific type of algebra that is also closed under countable unions and intersections, but it is defined on a probability space and is used in measure theory and probability theory. In essence, a sigma-algebra is a more specialized and stricter form of algebra, with additional properties that make it suitable for use in probability and measure theory.
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What is the connection between Boolean algebra and VHDL?
Boolean algebra is a fundamental concept in digital logic design, providing the mathematical foundation for understanding and manipulating binary variables. VHDL (VHSIC Hardware Description Language) is a hardware description language used to model and simulate digital systems. VHDL allows designers to describe the behavior of digital circuits using a syntax based on Boolean algebra, making it easier to implement complex logic functions and circuits. By understanding Boolean algebra principles, designers can effectively use VHDL to design, simulate, and synthesize digital systems.
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Is relational algebra difficult?
Relational algebra can be difficult for some people, especially those who are new to the concept of relational databases and set theory. It involves understanding various operations such as selection, projection, join, and union, as well as the rules and properties associated with these operations. However, with practice and a solid understanding of the underlying principles, relational algebra can become more manageable. It is important to approach it with patience and persistence, and seek out resources and guidance to help grasp the concepts.
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What is boolean algebra?
Boolean algebra is a branch of algebra that deals with variables that can only take on the values of true or false, often represented as 1 or 0. It is used to analyze and simplify logical expressions and is fundamental to the design and analysis of digital circuits and computer systems. Boolean algebra operations include AND, OR, and NOT, which are used to manipulate and simplify logical expressions. It provides a formal mathematical framework for reasoning about logical statements and is widely used in computer science and engineering.
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Linear Algebra
This textbook invites readers to dive into the mathematical ideas of linear algebra.Offering a gradual yet rigorous introduction, the author illuminates the structure, order, symmetry, and beauty of the topic.Opportunities to explore, master, and extend the theory abound, with generous exercise sets embodying the Hungarian tradition of active problem-solving.Determinants, matrices, and systems of linear equations begin the book.This unique ordering offers insights from determinants early on, while also admitting re-ordering if desired.Chapters on vector spaces, linear maps, and eigenvalues and eigenvectors follow.Bilinear functions and Euclidean spaces build on the foundations laid in the first half of the book to round out the core material.Applications in combinatorics include Hilbert's third problem, Oddtown and Eventown problems, and Sidon sets, a favorite of Paul Erdos.Coding theory applications include error-correction, linear, Hamming, and BCH codes.An appendix covers the algebraic basics used in the text. Ideal for students majoring in mathematics and computer science, this textbook promotes a deep and versatile understanding of linear algebra.Familiarity with mathematical proof is assumed, though no prior knowledge of linear algebra is needed.Supplementary electronic materials support teaching and learning, with selected answers, hints, and solutions, and an additional problem bank for instructors.
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Pre-Algebra
Boost grades and the understanding of early algebra concepts that can make or break the long-term study of algebra through middle and high school and on to college.Textbooks and classes cover so much over months at a time that the details at different stages of learning are passed up with expectations of students remembering all the details of every stage of learning.This 6 page laminated reference guide is expertly authored and designed to offer a quick detailed overview of all stages of early algebra learning.So all concepts can be seen at a glance before reading texts or listening to instructors, during study and homework, or further into the class for refreshing before quizzes and exams.It can help the math-rusty parent homework coach as well to get the algebra gears turning again so you can be the homework hero.Topics covered include: Number Systems; Operations; Algebra; Concepts; Translating Words into Algebraic Statements; Algebraic Equations; Algebraic Inequalities; Coordinate; Plane Geometry; Ratio; Portion; Percent.
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College Algebra
Larson's COLLEGE ALGEBRA is known for its reliable, reader-friendly explanations of mathematical concepts and helpful exercises that prepare students for further study in math.The Eleventh Edition incorporates exercises with relatable, real-world scenarios, continuous review, and innovative technology.How Do You See It? exercises give you practice applying the concepts and new Summarize features and Checkpoint problems reinforce understanding of the skill sets to help you better prepare for tests.Free access to homework support websites CalcChat.com, CalcView.com and LarsonPrecalculus.com are there when you need them.If you are struggling with previously learned math skills, work on the Review & Refresh exercises and watch the Skills Review videos.
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Foundation Algebra
This textbook teaches the fundamentals of algebra, keeping points clear, succinct and focused, with plenty of diagrams and practice but relatively few words.It assumes a basic knowledge but revises the key prerequisites before moving on.Definitions are highlighted for easy understanding and reference, and worked examples illustrate the explanations.Chapters are interwoven with exercises, whilst each chapter also ends with a comprehensive set of exercises, with answers in the back of the book.Introductory paragraphs describe the real-world application of each topic, and also include briefly where relevant any interesting historical facts about the development of the mathematical subject.This text is intended for undergraduate students in engineering taking a course in algebra.It works for the Foundation and 1st year levels.
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What is the connection between linear algebra and linear transformations?
Linear algebra is the branch of mathematics that deals with vector spaces and linear equations. Linear transformations are functions that preserve vector addition and scalar multiplication, which are fundamental concepts in linear algebra. Linear transformations can be represented by matrices, and studying linear algebra helps us understand the properties and behavior of linear transformations. In essence, linear algebra provides the tools and framework to analyze and manipulate linear transformations.
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What is the connection between linear algebra and linear mappings?
Linear algebra is the branch of mathematics that deals with vector spaces and linear transformations. Linear mappings are a fundamental concept in linear algebra, as they represent transformations that preserve the structure of vector spaces. Linear algebra provides the tools and techniques to study and analyze linear mappings, such as matrix representations, eigenvalues, and eigenvectors. Understanding linear algebra is essential for understanding the properties and behavior of linear mappings in various mathematical contexts.
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How can one learn algebra?
One can learn algebra by starting with the basics such as understanding the fundamental concepts and rules. It is important to practice solving equations and working through problems to build a strong foundation. Utilizing resources such as textbooks, online tutorials, and practice problems can also help in mastering algebra. Seeking help from teachers, tutors, or study groups can provide additional support and guidance in learning algebra effectively.
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"Isn't Algebra 1 on there?"
Yes, Algebra 1 is on the list. It is an essential course for students to build a strong foundation in mathematical concepts and problem-solving skills. Algebra 1 covers topics such as linear equations, inequalities, functions, and graphing, which are fundamental for higher-level math courses and real-world applications.
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