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Authors: Scheaffer, Richard L. ; Mendenhall, William ; Ott, R. Lyman ; Gerow, Kenneth G. ()  ELEMENTARY SURVEY SAMPLING introduces students to the design and analysis of sample surveys via a practical, engaging approach. First, this introductory text begins with brief chapters focused on the important role that sample surveys play in the modern world. Then, each successive chapter builds on this foundation. These chapters start with the problem, describe the methodology needed for solving the problem, and provide the details of the estimation procedure using a compact presentation of the necessary formulas. Each chapter then works out the practical example in full detail.

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Authors: Baase, Sara. ; Van Gelder, Allen. ()  Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller on algorithm design and analysis to make it the most current and accessible book available. This edition features an increased emphasis on algorithm design techniques such as divideandconquer and greedy algorithms, along with the addition of new topics and exercises. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions.

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Authors: Korb, Kevin B. ; Nicholson, Ann E. ()  The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other. This series aims to foster the integration between the computer sciences and statistical, numerical and probabilistic methods by publishing a broad range of reference works

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Authors: Fishman, George S. (1996)  A part from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. The book also contains numerous handson implementations of selected algorithms to demonstrate applications in realistic settings. Readers are assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is selfcontained. Suitable for graduates and undergraduates in mathematics and engineering, in particular operations research, statistics, and computer science.

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Authors: Altman, Yair M. ()  "Preface The Matlab programming environment uses Java for numerous tasks, including networking, dataprocessing algorithms, and graphical userinterface (GUI). Matlab_s internal Java classes can often be easily accessed and used by Matlab users. Matlab also enables easy access to external Java functionality, either thirdparty or usercreated. Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of very esthetically pleasing applications. Unlike Matlab_s interface with other programming languages, the internal Java classes and the MatlabJava interface were never fully documented by The MathWorks (TMW), the company that manufacture...

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Authors: Xavier, Eugene, S. P. ()  This book is aimed at providing an introduction to the basic models of computability to the undergraduate students. This book is devoted to Finite Automata and their properties. Pushdown Automata provides a class of models and enables the analysis of contextfree languages. Turing Machines have been introduced and the book discusses computability and decidability. A number of problems with solutions have been provided for each chapter. A lot of exercises have been given with hints/answers to most of these tutorial problems

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Authors: Heath, Michael T. (1997)  Scientific Computing  Systems of Linear Equations  Linear Least Squares  Eigenvalues Problems  Nonlinear Equations 6 Optimization  Interpolation  Numerical Integration and Differentiation  Initial Value Problems for ODEs  Boundary Value Problems for ODEs  Partial Differential Equations  Fast Fourier Transform  Random Numbers and Simulation.

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Authors: Szymiczek, Kazimierz ()  Bilinear algebra seems to be one of the most attractive branches of linear algebra. Bilinear mappings and dot (inner, scalar) products arise naturally in diverse areas of mathematics and physics and the idea of bilinearity, along with that of linearity, is certainly one of the fundamental mathematical concepts. The elementary parts of bilinear algebra filtered down to the undergraduate curricula and there made the impression of being much deeper than the parallel parts of linear algebra.

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Authors: Marecek,Lynn ; AnthonySmith, MaryAnne ()  Prealgebra is a textbook for a onesemester course that serves as a bridge between arithmetic and algebra. It can be used in courses named “Basic Mathematics,” “Introductory Algebra,” “Fundamentals of Algebra,” and so on. The organization makes it easy to adapt the book to suit a variety of course syllabi. The philosophy of this book is to strengthen students_ arithmetic skills and introduce the fundamental concepts and vocabulary of algebra in a nurturing, nonthreatening environment while addressing the needs of students with diverse backgrounds and learning styles.

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Authors: Erickson, Martin J., 1963 ()  Pearls of Discrete Mathematics presents methods for solving counting problems and other types of problems that involve discrete structures. Through intriguing examples, problems, theorems, and proofs, the book illustrates the relationship of these structures to algebra, geometry, number theory, and combinatorics.

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Authors: Lee, H. J. ; Schiesser, W. E. ()  This book contains information obtained from authentic and highly regarded sources. Reprinted material
is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable
efforts have been made to publish reliable data and information, but the author and the publisher cannot
assume responsibility for the validity of all materials or for the consequences of their use

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Authors: Press, William H., [et al.] (2007)  Preliminaries  Solution of Linear Algebraic Equations  Interpolation and Extrapolation Interpolation and Extrapolation  Evaluation of Functions

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Authors: Nocedal, Jorge. ()  This is a book for people interested in solving optimization problems. Because of the wide
(and growing) use of optimization in science, engineering, economics, and industry, it is
essential for students and practitioners alike to develop an understanding of optimization
algorithms.

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Authors: Griffiths, D. V. ()  Although pseudocodes, Mathematica, and MATLAB illustrate how algorithms work, designers of engineering systems write the vast majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods for Engineers, Second Edition provides an introduction to numerical methods

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Authors: Iyengar, Satteluri R. K. ; Jain, R. K. (2015)  About the Book: This comprehensive textbook covers material for one semester course on Numerical Methods (MA 1251) for B.E./ B. Tech. students of Anna University. The emphasis in the book is on the presentation of fundamentals and theoretical concepts in an intelligible and easy to understand manner. The book is written as a textbook rather than as a problem/guide book. The textbook offers a logical presentation of both the theory and techniques for problem solving to motivate the students in the study and application of Numerical Methods. Examples and Problems in Exercises are used to explain.

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Authors: Greenbaum, Anne. ; Chartier, Timothy P., 1969 ()  Mathematical modeling  Basic operations with MATLAB  Monte Carlo methods  Solution of a single nonlinear equation in one unknown  Floatingpoint arithmetic  Conditioning of problems ; stability of algorithms  Direct methods for solving linear systems and least squares problems  Polynomial and piecewise polynomial interpolation  Numerical differentiation and Richardson extrapolation  Numerical integration  Numerical solution of the initial value problem for ordinary differential equations  More numerical linear algebra : eigenvalues and iterative methods for solving linear systems  Numerical solution of twopoint boundary value problems  Numerical solution of ...

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Authors: Dukkipati, Rao V. (2010)  Numerical computations  Linear system of equations  Solution of algebraic and transcendental equations  Numerical differentiation  Finite differences and interpolation…

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Authors: Dos Passos, Waldemar. ()  Comprehensive Coverage of the New, EasytoLearn C#Although C, C++, Java, and Fortran are wellestablished programming languages, the relatively new C# is much easier to use for solving complex scientific and engineering problems. Numerical Methods, Algorithms and Tools in C# presents a broad collection of practical, readytouse mathematical routi

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Authors: Faires, J. Douglas. ; Burden, Richard L. (2015)  Chapter 1.tMATHEMATICAL PRELIMINARIES AND ERROR ANALYSIS gChapter 2.tSOLUTIONS OF EQUATIONS OF ONE VARIABLE gChapter 3.tINTERPOLATION AND POLYNOMIAL APPROXIMATION gChapter4.tNUMERICAL INTEGRATION AND DIFFERENTIATION gChapter 5.tNUMERICAL SOLUTION OF INITIALVALUE PROBLEMS gChapter 6.tDIRECT METHODS FOR SOLVING LINEAR SYSTEMS gChapter 7.tITERATIVE METHODS FOR SOLVING LINEAR SYSTEMS gChapter 8.tAPPROXIMATION THEORY gChapter 9.tAPPROXIMATING EIGENVALUES gChapter 10.tSOLUTIONS OF SYSTEMS OF NONLINEAR EQUATIONS gChapter 11.tBOUNDARYVALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS gChapter 12.tNUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIO...

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Authors: Aspnes, James ()  This book is based on a graduate education program on computational discrete mathematics run for several years in Berlin, Germany as a joint effort of theoretical computer scientists and mathematicians in order to support doctoral students and advanced ongoing education in the field of discrete mathematics and algorithmics. The 12 selected lectures by leading researchers presented in this book provide recent research results and advanced topics in a coherent and consolidated way.
