Engineering Mathematics Volume - III (Statistical and Numerical Methods) (For 1st Year - 2nd Semester of JNTU, Hyderabad) PDF Download
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Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 9352832442
Category : Mathematics
Languages : en
Pages : 693
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Book Description
Engineering Mathematics
Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 9352832442
Category : Mathematics
Languages : en
Pages : 693
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Book Description
Engineering Mathematics
Author: T. K. V. Iyengar, B. Krishna Gandhi, S. Ranganatham & M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838211
Category : Science
Languages : en
Pages : 904
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Book Description
Laplace Transforms, Numerical Methods & Complex Variables
Author: Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838270
Category : Science
Languages : en
Pages : 592
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Book Description
This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the benefit of the students
Author: M Y Gokhale
Publisher:
ISBN: 9789386084002
Category : Fiction
Languages : en
Pages : 698
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Book Description
1 Linear differential equations with constant coefficients 2 Simultaneous linear Differential Equations 3 Applications of Differential Equations 4 System of linear equations 5 Numerical solution of ordinary differential equations 6 Statistics correlation and regression 7 Probability and probability distributions 8 Vector algebra 9 Vector differentiation 10 Vector integration 11 Application of vectors to fluid mechanics 12 Application of partial differential equations
Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262028182
Category : Computers
Languages : en
Pages : 639
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Book Description
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
Author: P. K. Nag
Publisher: Tata McGraw-Hill Education
ISBN: 9780070591141
Category : Thermodynamics
Languages : en
Pages : 0
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Book Description
![Introduction to Engineering Mathematics - Volume IV [APJAKTU] PDF](https://books.google.com/books/content/images/frontcover/iy8cEAAAQBAJ?fife=w80-h100)
Author: HK Dass et. al
Publisher: S. Chand Publishing
ISBN: 9352837460
Category :
Languages : en
Pages :
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Book Description
Introduction to Engineering Mathematics - Volume IV has been thoroughly revised according to the New Syllabi (2018 onwards) of Dr. A.P.J. Abdul Kalam Technical University (AKTU, Lucknow). The book contains 13 chapters divided among five modules - Partial Differential Equations, Applications of Partial Differential Equations, Statistical Techniques - I, Statistical Techniques - II and Statistical Techniques - III.
Author: Robert J. Abrahart
Publisher: Springer Science & Business Media
ISBN: 3540798811
Category : Science
Languages : en
Pages : 495
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Book Description
Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...
Author: Ronald E. Walpole
Publisher:
ISBN: 9780134115856
Category : Engineering
Languages : en
Pages : 0
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Book Description
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. Also available with MyStatLab MyStatLab(tm) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab(tm) & Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e Package consists of: 0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages
Author: Rajinder Kumar Jain
Publisher: Alpha Science International, Limited
ISBN: 9781842653128
Category : Engineering mathematics
Languages : en
Pages : 0
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Book Description
This work is based on the experience and notes of the authors while teaching mathematics courses to engineering students at the Indian Institute of Technology, New Delhi. It covers syllabi of two core courses in mathematics for engineering students.
