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Learn Game Theory

Strategic Thinking Skills, #1

by Albert Rutherford ...

Series Book 1 - Strategic Thinking Skills
Master strategic thinking and gain a 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 ... Read more

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Master strategic thinking and gain a 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
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Exercises of Matrices and Linear Algebra

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In this book, exercises are carried out regarding the following mathematical topics:matrices and matrix calculuslinear algebradiagonalization of matrices and canonical bases.Initial theoretical hints are also presented to make the performance of the exercises understood. ... Read more

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In this book, exercises are carried out regarding the following mathematical topics:matrices and matrix calculuslinear algebradiagonalization of matrices and canonical bases.Initial theoretical hints are also presented to make the performance of the exercises understood.
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Handbook of Formulas and Tables for Signal Processing

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Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.Handbook of Formulas and Tables for Signal ... Read more

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Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.Handbook of Formulas and Tables for Signal
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Special Matrices and Their Applications in Numerical Mathematics

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by Miroslav Fiedler ...

Series series Dover Books on Mathematics
This revised and corrected second edition of a classic book on special matrices provides researchers in numerical linear algebra and students of general computational mathematics with an essential reference.Author Miroslav Fiedler, a Professor at the Institute of Computer Science of the Academy of Sciences of the Czech Republic, Prague, begins with definitions of basic concepts of the theory of ... Read more

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This revised and corrected second edition of a classic book on special matrices provides researchers in numerical linear algebra and students of general computational mathematics with an essential reference.Author Miroslav Fiedler, a Professor at the Institute of Computer Science of the Academy of Sciences of the Czech Republic, Prague, begins with definitions of basic concepts of the theory of
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Patterned Random Matrices

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Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the ... Read more

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Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the
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Numerical And Symbolic Computations Of Generalized Inverses

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We introduce new methods connecting numerics and symbolic computations, i.e., both the direct and iterative methods as well as the symbolic method for computing the generalized inverses. These will be useful for Engineers and Statisticians, in addition to applied mathematicians.Also, main applications of generalized inverses will be presented. Symbolic method covered in our book but not discussed ... Read more

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We introduce new methods connecting numerics and symbolic computations, i.e., both the direct and iterative methods as well as the symbolic method for computing the generalized inverses. These will be useful for Engineers and Statisticians, in addition to applied mathematicians.Also, main applications of generalized inverses will be presented. Symbolic method covered in our book but not discussed
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Numerical Methods

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A rigorous and comprehensive introduction to numerical analysisNumerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as ... Read more

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A rigorous and comprehensive introduction to numerical analysisNumerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as
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Introduction to Linear Algebra

by Rita Fioresi, Marta Morigi ...

Linear algebra provides the essential mathematical tools to tackle all the problems in Science. Introduction to Linear Algebra is primarily aimed at students in applied fields (e.g. Computer Science and Engineering), providing them with a concrete, rigorous approach to face and solve various types of problems for the applications of their interest.This book offers a straightforward introduction to ... Read more

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Advanced Linear Algebra

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Series series Textbooks in Mathematics
Advanced Linear Algebra features a student-friendly approach to the theory of linear algebra. The author’s emphasis on vector spaces over general fields, with corresponding current applications, sets the book apart. He focuses on finite fields and complex numbers, and discusses matrix algebra over these fields. The text then proceeds to cover vector spaces in depth. Also discussed are standard ... Read more

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Advanced Linear Algebra features a student-friendly approach to the theory of linear algebra. The author’s emphasis on vector spaces over general fields, with corresponding current applications, sets the book apart. He focuses on finite fields and complex numbers, and discusses matrix algebra over these fields. The text then proceeds to cover vector spaces in depth. Also discussed are standard
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Group Inverses of M-Matrices and Their Applications

by Stephen J. Kirkland, Michael Neumann ...

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas. ... Read more

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Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas.
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Essential Mathematics for Economics

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Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume. The book is entirely self-contained, and almost all propositions are proved ... Read more

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Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume. The book is entirely self-contained, and almost all propositions are proved
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Vectors and Matrices for Geometric and 3D Modeling

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Vectors are perhaps the most important mathematical objects used in modeling and animation. They have the properties of magnitude and direction, and provide visual understanding of model construction and analysis. Matrices are natural and hardworking partners of vectors.This work presents lessons on vectors and matrices in geometric and 3D modeling—the mathematics at the foundation of computer ... Read more

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Vectors are perhaps the most important mathematical objects used in modeling and animation. They have the properties of magnitude and direction, and provide visual understanding of model construction and analysis. Matrices are natural and hardworking partners of vectors.This work presents lessons on vectors and matrices in geometric and 3D modeling—the mathematics at the foundation of computer
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Mathematical Techniques in GIS

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The second edition of a bestseller, Mathematical Techniques in GIS demystifies the mathematics used in the manipulation of spatially related data. The author takes a step-by-step approach through the basics of arithmetic, algebra, geometry, trigonometry and calculus that underpin the management of such data. He then explores the use of matrices, de ... Read more

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The second edition of a bestseller, Mathematical Techniques in GIS demystifies the mathematics used in the manipulation of spatially related data. The author takes a step-by-step approach through the basics of arithmetic, algebra, geometry, trigonometry and calculus that underpin the management of such data. He then explores the use of matrices, de
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Matrix Representations of Groups

by Morris Newman ...

Series series Dover Books on Mathematics
Recognizing that the theory of group representations is fundamental to several areas of science and mathematics — including particle physics, crystallography, and group theory — the National Bureau of Standards published this basic but complete exposition of the subject in 1968 in their Applied Mathematics Series. The most significant facts about group representation are developed in an accessible ... Read more

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Recognizing that the theory of group representations is fundamental to several areas of science and mathematics — including particle physics, crystallography, and group theory — the National Bureau of Standards published this basic but complete exposition of the subject in 1968 in their Applied Mathematics Series. The most significant facts about group representation are developed in an accessible
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Biorthogonality and its Applications to Numerical Analysis

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Series series Chapman & Hall/CRC Pure and Applied Mathematics
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This book explores the use of the concept of biorthogonality and discusses the various recurrence relations for the generalizations of the method of moments, the method of Lanczos, and the biconjugate gradient method. It is helpful for researchers in numerical analysis and approximation theory.
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Select Topics in Signal Analysis

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This book developed from a course given by the author to undergraduate and postgraduate students. It takes up Matrix Theory, Antenna Theory, and Probability Theory in detail.The first chapter on matrix theory discusses in reasonable depth the theory of Lie Algebras leading upto Cartan’s Classification Theory. It also discusses some basic elements of Functional Analysis and Operator Theory in ... Read more

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This book developed from a course given by the author to undergraduate and postgraduate students. It takes up Matrix Theory, Antenna Theory, and Probability Theory in detail.The first chapter on matrix theory discusses in reasonable depth the theory of Lie Algebras leading upto Cartan’s Classification Theory. It also discusses some basic elements of Functional Analysis and Operator Theory in
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Generalized Sylvester Equations

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Provides One Unified Formula That Gives Solutions to Several Types of GSEsGeneralized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs ... Read more

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Provides One Unified Formula That Gives Solutions to Several Types of GSEsGeneralized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs
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First Course In Linear Algebra, A

by Minking Eie, Shou-te Chang ...

A First Course in Linear Algebra is written by two experts from algebra who have more than 20 years of experience in algebra, linear algebra and number theory. It prepares students with no background in Linear Algebra. Students, after mastering the materials in this textbook, can already understand any Linear Algebra used in more advanced books and research papers in Mathematics or in other ... Read more

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A First Course in Linear Algebra is written by two experts from algebra who have more than 20 years of experience in algebra, linear algebra and number theory. It prepares students with no background in Linear Algebra. Students, after mastering the materials in this textbook, can already understand any Linear Algebra used in more advanced books and research papers in Mathematics or in other
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Matrix Functions And Matrix Equations

by Zhaojun Bai, Weiguo Gao, Yangfeng Su ...

Series Book 19 - Series In Contemporary Applied Mathematics
Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad ... Read more

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Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad
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Linear Models And Regression With R: An Integrated Approach

by Debasis Sengupta, S Rao Jammalamadaka ...

Series Book 11 - Series On Multivariate Analysis
Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment presented here provides a clearer understanding of the general linear model from a statistical perspective, thus ... Read more

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Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment presented here provides a clearer understanding of the general linear model from a statistical perspective, thus
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Introduction to the Theory of Determinants and Matrices

by Edward Tankard Browne ...

This text and reference book for mathematics students and for many people working in the social sciences contains in one volume the most important properties of matrices and determinants whose elements are real or complex numbers. The theory is developed from the classical point of view of Bocher, Wedderburn, MacDuffee, and Erobernus.Originally published in 1958.A UNC Press Enduring Edition -- UNC ... Read more

S$ 39.23 SGD

This text and reference book for mathematics students and for many people working in the social sciences contains in one volume the most important properties of matrices and determinants whose elements are real or complex numbers. The theory is developed from the classical point of view of Bocher, Wedderburn, MacDuffee, and Erobernus.Originally published in 1958.A UNC Press Enduring Edition -- UNC
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Mathematical Problems

by Hilbert ...

Mathematical Problems is a seminal work by David Hilbert, one of the most influential mathematicians of the late 19th and early 20th centuries. Originally presented as a lecture at the International Congress of Mathematicians in Paris in 1900, this book outlines 23 unsolved problems that Hilbert believed would shape the future of mathematical research. The problems span a wide range of ... Read more

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Mathematical Problems is a seminal work by David Hilbert, one of the most influential mathematicians of the late 19th and early 20th centuries. Originally presented as a lecture at the International Congress of Mathematicians in Paris in 1900, this book outlines 23 unsolved problems that Hilbert believed would shape the future of mathematical research. The problems span a wide range of
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Introdução ao Cálculo Vetorial e Matricial

by Simone Malacrida ...

Os pressupostos teóricos dos seguintes tópicos matemáticos são apresentados neste livro:vetores e cálculo vetorialmatrizes e cálculo matricialCada tópico é tratado enfatizando aplicações práticas e resolvendo alguns exercícios significativos. ... Read more

S$ 4.49 SGD or Free with Kobo Plus

Os pressupostos teóricos dos seguintes tópicos matemáticos são apresentados neste livro:vetores e cálculo vetorialmatrizes e cálculo matricialCada tópico é tratado enfatizando aplicações práticas e resolvendo alguns exercícios significativos.
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Exercícios de Matrizes e Álgebra Linear

by Simone Malacrida ...

Neste livro, são realizados exercícios sobre os seguintes tópicos matemáticos:matrizes e cálculo matricialálgebra Lineardiagonalização de matrizes e bases canônicas.Também são apresentadas dicas teóricas iniciais para a compreensão da execução dos exercícios. ... Read more

S$ 4.49 SGD

Neste livro, são realizados exercícios sobre os seguintes tópicos matemáticos:matrizes e cálculo matricialálgebra Lineardiagonalização de matrizes e bases canônicas.Também são apresentadas dicas teóricas iniciais para a compreensão da execução dos exercícios.
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Recommended For You

Matrices eBooks

Learn Game Theory

Exercises of Matrices and Linear Algebra

Handbook of Formulas and Tables for Signal Processing

Special Matrices and Their Applications in Numerical Mathematics

Patterned Random Matrices

Numerical And Symbolic Computations Of Generalized Inverses

Numerical Methods

Introduction to Linear Algebra

Advanced Linear Algebra

Group Inverses of M-Matrices and Their Applications

Essential Mathematics for Economics

Vectors and Matrices for Geometric and 3D Modeling

Mathematical Techniques in GIS

Matrix Representations of Groups

Biorthogonality and its Applications to Numerical Analysis

Select Topics in Signal Analysis

Generalized Sylvester Equations

First Course In Linear Algebra, A

Matrix Functions And Matrix Equations

Linear Models And Regression With R: An Integrated Approach

Introduction to the Theory of Determinants and Matrices

Mathematical Problems

Introdução ao Cálculo Vetorial e Matricial

Exercícios de Matrizes e Álgebra Linear