Computer Applications Of Mathematics & Statistics

Computer Applications Of Mathematics & Statistics PDF Author: Asis Kumar Chattopadhyay
Publisher:
ISBN: 9788186299944
Category :
Languages : en
Pages : 206

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Book Description
This Book Can Be Used As A Textbook By The Undergraduate And Postgraduate Students Of Mathematics And Statistics. Starting From Introductory Concepts The Book Covers Various Aspects Of Computer And Computer Programming With Its Applications Of Mathematics And Statistics. Topics Like Positional Number Systems, Boolean Algebra, Data Representation, Computer Hardware And Software, Computer Language, Different Aspects Of Pascal, Fortran And C Languages Etc., Are Discussed. In Last Two Chapters Programs For Solving Different Mathematical And Statistical Problems Are Listed. The Following Are The Special Feature Of The Book : # The Book Is Specially Written For Students Of Mathematics And Statistics.# It Covers The Syllabi Of Almost All Indian Universities.# The Cd (Included In The Book) Contains Programs Of Last Two Chapters. Content Highlights : - Preface # Positional Number Systems # Boolean Algebra And Logical Circuits # Data Representation # Computer Hardware # Computer Software # Algorithm And Flowchart # Computer Languages # Inputs Commands # Output Commands # Looping Structure # Decision Making And Branching # Arrays # Functions And Subprograms # File Structure # Some Mathematical Applications # Some Statistical Applications # Bibiolography # Appendices # Index

Computer Applications Of Mathematics & Statistics

Computer Applications Of Mathematics & Statistics PDF Author: Asis Kumar Chattopadhyay
Publisher:
ISBN: 9788186299944
Category :
Languages : en
Pages : 206

Get Book Here

Book Description
This Book Can Be Used As A Textbook By The Undergraduate And Postgraduate Students Of Mathematics And Statistics. Starting From Introductory Concepts The Book Covers Various Aspects Of Computer And Computer Programming With Its Applications Of Mathematics And Statistics. Topics Like Positional Number Systems, Boolean Algebra, Data Representation, Computer Hardware And Software, Computer Language, Different Aspects Of Pascal, Fortran And C Languages Etc., Are Discussed. In Last Two Chapters Programs For Solving Different Mathematical And Statistical Problems Are Listed. The Following Are The Special Feature Of The Book : # The Book Is Specially Written For Students Of Mathematics And Statistics.# It Covers The Syllabi Of Almost All Indian Universities.# The Cd (Included In The Book) Contains Programs Of Last Two Chapters. Content Highlights : - Preface # Positional Number Systems # Boolean Algebra And Logical Circuits # Data Representation # Computer Hardware # Computer Software # Algorithm And Flowchart # Computer Languages # Inputs Commands # Output Commands # Looping Structure # Decision Making And Branching # Arrays # Functions And Subprograms # File Structure # Some Mathematical Applications # Some Statistical Applications # Bibiolography # Appendices # Index

Introduction to Financial Mathematics

Introduction to Financial Mathematics PDF Author: Donald R. Chambers
Publisher: CRC Press
ISBN: 1000370127
Category : Computers
Languages : en
Pages : 581

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Book Description
This book’s primary objective is to educate aspiring finance professionals about mathematics and computation in the context of financial derivatives. The authors offer a balance of traditional coverage and technology to fill the void between highly mathematical books and broad finance books. The focus of this book is twofold: To partner mathematics with corresponding intuition rather than diving so deeply into the mathematics that the material is inaccessible to many readers. To build reader intuition, understanding and confidence through three types of computer applications that help the reader understand the mathematics of the models. Unlike many books on financial derivatives requiring stochastic calculus, this book presents the fundamental theories based on only undergraduate probability knowledge. A key feature of this book is its focus on applying models in three programming languages –R, Mathematica and EXCEL. Each of the three approaches offers unique advantages. The computer applications are carefully introduced and require little prior programming background. The financial derivative models that are included in this book are virtually identical to those covered in the top financial professional certificate programs in finance. The overlap of financial models between these programs and this book is broad and deep.

Introductory Business Statistics with Computer Applications

Introductory Business Statistics with Computer Applications PDF Author: Ronald E. Shiffler
Publisher: Wadsworth Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 938

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Book Description
This text shows students the usefulness of statistics in the context of real-business problems. Because the book combines an intuitive presentation with numerous pedagogical features, students quickly realize the power of statistics without getting lost in the theory. An early introduction to regression has been highly praised for its motivation. Shiffler and Adams have written an easy-to-read, well-motivated and useful text for business students.

The Beauty of Mathematics in Computer Science

The Beauty of Mathematics in Computer Science PDF Author: Jun Wu
Publisher: CRC Press
ISBN: 1351689118
Category : Business & Economics
Languages : en
Pages : 266

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Book Description
The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services. The book was published in Chinese in 2011 and has sold more than 600,000 copies. Readers were surprised to find that many daily-used IT technologies were so tightly tied to mathematical principles. For example, the automatic classification of news articles uses the cosine law taught in high school. The book covers many topics related to computer applications and applied mathematics including: Natural language processing Speech recognition and machine translation Statistical language modeling Quantitive measurement of information Graph theory and web crawler Pagerank for web search Matrix operation and document classification Mathematical background of big data Neural networks and Google’s deep learning Jun Wu was a staff research scientist in Google who invented Google’s Chinese, Japanese, and Korean Web Search Algorithms and was responsible for many Google machine learning projects. He wrote official blogs introducing Google technologies behind its products in very simple languages for Chinese Internet users from 2006-2010. The blogs had more than 2 million followers. Wu received PhD in computer science from Johns Hopkins University and has been working on speech recognition and natural language processing for more than 20 years. He was one of the earliest engineers of Google, managed many products of the company, and was awarded 19 US patents during his 10-year tenure there. Wu became a full-time VC investor and co-founded Amino Capital in Palo Alto in 2014 and is the author of eight books.

Business Mathematics and Statistics

Business Mathematics and Statistics PDF Author: Peter Waxman
Publisher:
ISBN: 9780724801466
Category : Business mathematics
Languages : en
Pages : 707

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Book Description


Combinatorial Methods with Computer Applications

Combinatorial Methods with Computer Applications PDF Author: Jonathan L. Gross
Publisher: CRC Press
ISBN: 1584887443
Category : Computers
Languages : en
Pages : 664

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Book Description
Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries. Requiring only a foundation in discrete mathematics, it can serve as the textbook in a combinat

Advances in Mathematics and Applications

Advances in Mathematics and Applications PDF Author: Carlile Lavor
Publisher: Springer
ISBN: 3319940155
Category : Mathematics
Languages : en
Pages : 408

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Book Description
This book celebrates the 50th anniversary of the Institute of Mathematics, Statistics and Scientific Computing (IMECC) of the University of Campinas, Brazil, by offering reviews of selected research developed at one of the most prestigious mathematics institutes in Latin America. Written by senior professors at the IMECC, it covers topics in pure and applied mathematics and statistics ranging from differential geometry, dynamical systems, Lie groups, and partial differential equations to computational optimization, mathematical physics, stochastic process, time series, and more. A report on the challenges and opportunities of research in applied mathematics - a highly active field of research in the country - and highlights of the Institute since its foundation in 1968 completes this historical volume, which is unveiled in the same year that the International Mathematical Union (IMU) names Brazil as a member of the Group V of countries with the most relevant contributions in mathematics.

Applications in Statistical Computing

Applications in Statistical Computing PDF Author: Nadja Bauer
Publisher: Springer
ISBN: 9783030251468
Category : Computers
Languages : en
Pages : 0

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Book Description
This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.

Mathematics for Computer Science

Mathematics for Computer Science PDF Author: Eric Lehman
Publisher:
ISBN: 9789888407064
Category : Business & Economics
Languages : en
Pages : 988

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Book Description
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R PDF Author: Kandethody M. Ramachandran
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825

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Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods