Archive for the ‘Mathematics’ Category

MatLAB eBooks Collection

matlabEbookColl MatLAB eBooks Collection

MatLAB eBooks Collection | English | PDF | 632 MB
This Collection made by me.
- Andy H. Register.pdf
Adaptive Filtering Primer with MATLAB – Poularikas and Ramadan.pdf
Advanced Mathematics and Mechanics Applications Using MATLAB – Howard B. Wilson.pdf
Algorithm Collections for Digital Signal Processing Applications using Matlab – E.S. Gopi.pdf
An Introduction to Programming and Numerical Methods in MATLAB – S.R. Otto & J.P. Denier.pdf
Antenna and EM Modeling with MATLAB – Sergey N. Makarov.pdf
Applied Numerical Methods Using MATLAB – Yang Cao Chung and Morris.pdf
Applied Statistics Using SPSS, STATISTICA, MATLAB and R – Joaquim P. Marques.pdf
Basics of MATLAB and Beyond – Andrew Knight.pdf
Biosignal and Biomedical Image Processing MATLAB based Applications – John L. Semmlow.pdf
Business Economics & Finance with Matlab GIS and Simulation Models – Patrick L.Anderson.pdf
Chemical Process Control a First Course with Matlab – P.C. Chau.pdf
Circuit Analysis II with MATLAB – Steven T. Karris.pdf
Classical Feedback Control with MATLAB – Boris J. Lurie and Paul J. Enright.djvu
Classification Parameter Estimation & State Estimation An Engg Approach Using MATLAB.pdf
Computational Colour Science Using MATLAB – Stephen Westland & Caterina Ripamonti.pdf
Computational Mathematics Models Methods and Analysis with Matlab – Robert E. White.pdf
Computational Statistics Handbook with MATLAB – Martinez & Martinez.pdf
Contemporary Communication Systems using Matlab – Proakis and Salehi.pdf
Digital Circuit Analysis and Design with Simulink Modeling – Steven T. Karris.pdf
Digital Image Processing Using Matlab – Gonzalez Woods & Eddins.pdf
Digital Signal and Image Processing Using MATLAB – Gerard Blanchet & Maurice Charbit.pdf
Digital Signal Processing – Computer Based Approach – Sanjit K. Mitra.pdf
Digital Signal Processing Using Matlab V4 – Ingle and Proakis.pdf
Dynamic Simulations of Electric Machinery – Chee Mun Ong.djvu
Electronic Devices and Amplifier Circuits with MATLAB Applications – Steven T. Karris.pdf
Electronics and Circuit Analysis Using MATLAB – John O. Attia.pdf
Elem. Math. and Comp. Tools for Engineers using MATLAB – J. Manassah.pdf
Embedded Control Systems in C C++ Using MATLAB – Jim Ledin.chm
Embedded Image Processing with DSP Examples in MATLAB – Shehrzad Qureshi.pdf
Engineering Analysis Interactive Methods and Programs with MATLAB – Y. C. Pao.pdf
Engineering and Scientific Computations Using MATLAB – Sergey E. Lyshevski.pdf
Environmental Modeling Using MATLAB – Ekkehard Holzbecher.pdf
Essential MATLAB for Engineers and Scientists – Brian D. Hahn & Daniel T. Valentine.pdf
Exploratory Data Analysis with MATLAB – Martinez and Martinez.pdf
Fundamentals of Electromagnetics with Matlab – Lonngren & Savov.pdf
Graphics and GUIs with MATLAB – Patrick Marchand and O. Thomas Holland .pdf
Introduction to Fuzzy Logic using MatLab – Sivanandam Sumathi and Deepa.pdf
Introduction to MATLAB – Sikander M. Mirza.pdf
Introduction to Simulink with Engineering Applications – Steven T. Karris.pdf
Intuitive Probability and Random Processes Using MatLab – Steven M. Kay.pdf
Kalman Filtering Theory and Practice Using MATLAB – Grewal and Andrews.pdf
MathWorks Documentation – MATLAB V7 Function References.pdf
MathWorks Documentation – MATLAB V7 Introductory and Programming.pdf
MATLAB Guide – Desmond J. Higham & Nicholas J. Higham.djvu
MATLAB Primer (6th Ed) – Kermit Sigmon & Timothy A. Davis.pdf
MATLAB Primer (7th Ed) – Timothy A. Davis & Kermit Sigmon.pdf
MATLAB Programming – David Kuncicky.pdf
MATLAB Recipes for Earth Sciences – M.H.Trauth.pdf
MATLAB Simulations for Radar Systems Design – Bassem R. Mahafza & Atef Z. Elsherbeni.pdf
Mechanics of Composite Materials with MATLAB – George Z. Voyiadjis & Peter I. Kattan.pdf
Numerical Analysis Using MATLAB and Excel – Steven T. Karris.pdf
Numerical Analysis Using MATLAB and Spreadsheets – Steven T. Karris.pdf
Numerical Computing with MATLAB – Cleve Moler.pdf
Numerical Methods in Engineering with MATLAB – Jaan Kiusalaas.pdf
Numerical Methods in Finance & Economics A MATLAB based Introduction – Paolo Brandimarte.pdf
Numerical Methods using MATLAB – Mathews and Fink.pdf
Numerical Techniques for Chemical & Biological Engineers Using MATLAB – Elnashaie & Uhlig.pdf
Optical Scanning Holography with MATLAB – Ting Chung Poon.pdf
Optics Learning by Computing with Examples using MATLAB – K.D. Moller.pdf
Ordinary and Partial Differential Equation Routines in Matlab – H.J. Lee & W.E. Schiesser.pdf
Radar Systems Analysis and Design Using MatLab – Mahafza Bassem R.pdf
Robust Control Design with Matlab – Gu Petkov and Konstantinov.pdf
Scientific Computing with Matlab – Alfio Quarteroni & Fausto Saleri.djvu
Scientific Computing with Matlab and Octave – Alfio Quarteroni & Fausto Saleri.pdf
Signals and Systems with MATLAB Applications – Steven T. Karris.pdf
Signals and Systems with MATLAB Computing and Simulink Modeling – Steven T. Karris.pdf
Solving ODEs with MATLAB – Shampine Gladwell Thompson.pdf
Solving ODEs with Matlab Instructors Manual – L.F. Shampine.pdf
Spectral Methods in MATLAB – Lloyd N. Trefethen.pdf
The Finite Element Method using MATLAB – Kwon and Bang.pdf
Vibration Simulation Using MATLAB and ANSYS – Michael R Hatch.pdf

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Math Tutor DVD – 1st Through 7th Grade Math (Basic Math)

21da1c2d1e Math Tutor DVD   1st Through 7th Grade Math (Basic Math)
Math Tutor DVD – 1st Through 7th Grade Math (Basic Math) | 2.5 GB

Building an understanding of fundamental Math concepts is essential for a student to move on and conquer more advanced math and science. Understanding addition, subtraction, multiplication, division, fractions and percents is absolutely critical. If a student doesn’t master these topics early on, it can lead to the “Math Is Hard” syndrome.

The core philosophy of this 7 hour DVD course is that “Math Is Easy”. The way that you make math easy for a student is to start off with the basics and gradually move on to the tougher material. In this way the student builds confidence in his or her skills and confidence is the key to success in math.

The 1st – 7th Grade Math Tutor is a 7 hour, 2 DVD course that will fully help a student master all of the core topics in math at the first through seventh grade level. After mastering the concepts in this DVD series the student will be ready and able to move and tackle pre-algebra and algebra.

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A Combinatorial Approach to Matrix Theory and Its Applications

CombinatorialApproachMatrix A Combinatorial Approach to Matrix Theory and Its Applications

Unlike most elementary books on matrices, A Combinatorial Approach to Matrix Theory and Its Applications employs combinatorial and graph-theoretical tools to develop basic theorems of matrix theory, shedding new light on the subject by exploring the connections of these tools to matrices.

After reviewing the basics of graph theory, elementary counting formulas, fields, and vector spaces, the book explains the algebra of matrices and uses the Konig digraph to carry out simple matrix operations. It then discusses matrix powers, provides a graph-theoretical definition of the determinant using the Coates digraph of a matrix, and presents a graph-theoretical interpretation of matrix inverses. The authors develop the elementary theory of solutions of systems of linear equations and show how to use the Coates digraph to solve a linear system. They also explore the eigenvalues, eigenvectors, and characteristic polynomial of a matrix; examine the important properties of nonnegative matrices that are part of the Perron�Frobenius theory; and study eigenvalue inclusion regions and sign-nonsingular matrices. The final chapter presents applications to electrical engineering, physics, and chemistry.

Using combinatorial and graph-theoretical tools, this book enables a solid understanding of the fundamentals of matrix theory and its application to scientific area

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Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics) (Hardcover)

519T49Kr5gL. BO2,204,203,200 PIsitb sticker arrow click,TopRight,35, 76 AA240 SH20 OU01  Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics) (Hardcover)

The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an useful guide for graduate students and researchers. Special features included: a simple treatment of Talagrand’s inequalities and their applications; an overview and many carefully worked out examples of the probabilistic analysis of combinatorial algorithms; a discussion of the “exact simulation” algorithm (in the context of Markov Chain Monte Carlo Methods); a general method for finding asymptotically optimal or near optimal graph colouring, showing how the probabilistic method may be fine-tuned to exploit the structure of the underlying graph; a succinct treatment of randomized algorithms and derandomization techniques.

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Handbook of Discrete and Combinatorial Mathematics [ILLUSTRATED] (Hardcover)

51ZCHZMHdPL. BO2,204,203,200 PIsitb sticker arrow click,TopRight,35, 76 AA240 SH20 OU01  Handbook of Discrete and Combinatorial Mathematics [ILLUSTRATED] (Hardcover)

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Lie Algebras: Theory and Algorithms

 Lie Algebras: Theory and Algorithms
W.A. de Graaf, �Lie Algebras: Theory and Algorithms�
North Holland | 2000-02-01 | ISBN: 0444501169 | 406 pages | PDF | 15,7 Mb

The aim of the present work is two-fold. Firstly it aims at a giving an account of many existing algorithms for calculating with finite-dimensional Lie algebras. Secondly, the book provides an introduction into the theory of finite-dimensional Lie algebras. These two subject areas are intimately related. First of all, the algorithmic perspective often invites a different approach to the theoretical material than the one taken in various other monographs (e.g., [42], [48], [77], [86]). Indeed, on various occasions the knowledge of certain algorithms allows us to obtain a straightforward proof of theoretical results (we mention the proof of the Poincare-Birkhoff-Witt theorem and the proof of Iwasawa�s theorem as examples). Also proofs that contain algorithmic constructions are explicitly formulated as algorithms (an example is the isomorphism theorem for semisimple Lie algebras that constructs an isomorphism in case it exists). Secondly, the algorithms can be used to arrive at a better understanding of the theory. Performing the algorithms in concrete examples, calculating with the concepts involved, really brings the theory of life.

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Chebyshev Methods in Numerical Approximation (Prentice-Hall Series in Automatic Computation)

 Chebyshev Methods in Numerical Approximation (Prentice Hall Series in Automatic Computation)

Martin Avery Snyder, �Chebyshev Methods in Numerical Approximation (Prentice-Hall Series in Automatic Computation)�
Prentice-Hall | 1966 | ASIN: B0006BOCRA | 114 pages | DjVu | 1 MB

�This book is intended to be used either as a textbook at the advanced undergraduate or graduate level or as a handbook for people actively engaged in the field. Some prior knowledge of the rudiments of numerical analysis would be useful but is by no means essential. Occasionally, arguments employing complex variables (especially contour integration) are used, but they are not essential to an over-all understanding of the material; the student without a knowledge of complex variables should not find himself seriously handicapped.

The methods discussed in this book have application both to hand computation and to work involving digital computers. As anyone knows who has worked in the field of numerical approximation, there are few hard and fast rules telling one how to proceed in any particular problem. In this sense, the subject of numerical approximation is as much an art as a science. Bearing this in mind, the reader will realize that what is important are the concepts that underlie the various algorithms, rather than the algorithms themselves, although familiarity with the latter is certainly worthwhile.� – author�s preface.

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Basic Proof Theory (Cambridge Tracts in Theoretical Computer Science)

1201271119 4177fz6d8kl. bo2204203200 pisitb dp 500 Basic Proof Theory (Cambridge Tracts in Theoretical Computer Science)Publisher: Cambridge University Press
Language: English
ISBN: 0521572231
Paperback: 355 pages
Data: September 13, 1996
Format: PDF
Description: This introduction to the basic ideas of structural proof theory contains a thorough discussion and comparison of various types of formalization of first-order logic. Examples are given of several areas of application, namely: the metamathematics of pure first-order logic (intuitionistic as well as classical); the theory of logic programming; category theory; modal logic; linear logic; first-order arithmetic and second-order logic. In each case the aim is to illustrate the methods in relatively simple situations and then apply them elsewhere in much more complex settings. There are numerous exercises throughout the text. In general, the only prerequisite is a standard course in first-order logic, making the book ideal for graduate students and beginning researchers in mathematical logic, theoretical computer science and artificial intelligence. For the new edition, many sections have been rewritten to improve clarity, new sections have been added on cut elimination, and solutions to selected exercises have been included.

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An Invitation to Discrete Mathematics

InvitationDiscreteMathematics An Invitation to Discrete Mathematics

This book is a clear and self-contained introduction to discrete mathematics. Aimed mainly at undergraduate and early graduate students of mathematics and computer science, it is written with the goal of stimulating interest in mathematics and an active, problem-solving approach to the presented material. The reader is led to an understanding of the basic principles and methods of actually doing mathematics (and having fun at that). Being more narrowly focused than many discrete mathematics textbooks and treating selected topics in an unusual depth and from several points of view, the book reflects the conviction of the authors, active and internationally renowned mathematicians, that the most important gain from studying mathematics is the cultivation of clear and logical thinking and habits useful for attacking new problems. More than 400 enclosed exercises with a wide range of difficulty, many of them accompanied by hints for solution, support this approach to teaching. The readers will appreciate the lively and informal style of the text accompanied by more than 200 drawings and diagrams. Specialists in various parts of science with a basic mathematical education wishing to apply discrete mathematics in their field can use the book as a useful source, and even experts in combinatorics may occasionally learn from pointers to research literature or from presentations of recent results. Invitation to Discrete Mathematics should make a delightful reading both for beginners and for mathematical professionals.
The main topics include: elementary counting problems, asymptotic estimates, partially ordered sets, basic graph theory and graph algorithms, finite projective planes, elementary probability and the probabilistic method, generating functions, Ramsey’s theorem, and combinatorial applications of linear algebra. General mathematical notions going beyond the high-school level are thoroughly explained in the introductory chapter. An appendix summarizes the undergraduate algebra needed in some of the more advanced sections of the book.


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