Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 1545
- Book
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 divide-and-conquer 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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- Book
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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- Book
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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- Book
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 hands-on 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 self-contained. Suitable for graduates and undergraduates in mathematics and engineering, in particular operations research, statistics, and computer science.
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- Book
Authors: Altman, Yair M. (-) - "Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (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 third-party or user-created. 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 Matlab-Java interface were never fully documented by The MathWorks (TMW), the company that manufacture...
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- Book
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 context-free 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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- Book
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: Marecek,Lynn ; Anthony-Smith, MaryAnne (-) - Prealgebra is a textbook for a one-semester 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, non-threatening environment while addressing the needs of students with diverse backgrounds and learning styles.
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- Book
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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- Book
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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- Book
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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- Book
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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- Book
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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- Book
Authors: Dos Passos, Waldemar. (-) - Comprehensive Coverage of the New, Easy-to-Learn C#Although C, C++, Java, and Fortran are well-established 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, ready-to-use mathematical routi
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- Book
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 INITIAL-VALUE 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.|tBOUNDARY-VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS --|gChapter 12.|tNUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIO...
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- Book
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.
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- Book
Authors: Hefferon, Jim (-) - This book helps students to master the material of a standard US undergraduate
first course in Linear Algebra. The material is standard in that the subjects covered are Gaussian reduction,
vector spaces, linear maps, determinants, and eigenvalues and eigenvectors.
Another standard is book’s audience: sophomores or juniors, usually with
a background of at least one semester of calculus. The help that it gives to
students comes from taking a developmental approach — this book’s presentation
emphasizes motivation and naturalness, using many examples as well as extensive
and careful exercises.
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- Book
Authors: Duffy, Dean G. (-) - An up-to-date treatment of the subject, Mixed Boundary Value Problems focuses on boundary value problems when the boundary condition changes along a particular boundary. The book often employs numerical methods to solve mixed boundary value problems and the associated integral equations.
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- Book
Authors: Strang, Gilbert. (-) - Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.Matrices and Gaussian Elimination -- Vector Spaces -- Orthogonality -- Determinants -- Eigenvalues and Eigenvectors -- Positive Definite Matrices -- Computations with Matrices -- Linear Programming and Game Theory -- Intersection, Sum,...
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- Book
Authors: Knop, Larry E. (-) - Linear Algebra: A First Course with Applications explores the fundamental ideas of linear algebra, including vector spaces, subspaces, basis, span, linear independence, linear transformation, eigenvalues, and eigenvectors, as well as a variety of applications, from inventories to graphics to Google_s PageRank.
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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 1545
