Soft Computing: With Matlab Programming, N.P. Padhy
Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Austin Название: Engineering Programming - C, Matlab and Java ISBN: 0471001163 ISBN-13(EAN): 9780471001164 Издательство: Wiley Рейтинг: Цена: 192140.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Although Fortran is still the most commonly-taught programming language for engineers, increasing numbers of students are taking C, Matlab and Java. This text deals with C from an engineering, rather than just a computer science, perspective.
Автор: Langtangen, Hans Petter Название: Programming for computations - matlab/octave ISBN: 3319324519 ISBN-13(EAN): 9783319324517 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
Автор: Wellin Название: Programming with Mathematica ® ISBN: 1107009464 ISBN-13(EAN): 9781107009462 Издательство: Cambridge Academ Рейтинг: Цена: 79200.00 T Наличие на складе: Поставка под заказ. Описание: Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica can be used to solve problems in science, engineering, economics/finance, computational linguistics, geoscience, bioinformatics, and a range of other fields. The book will appeal to students, researchers and programmers wishing to further their understanding of Mathematica. Designed to suit users of any ability, it assumes no formal knowledge of programming so it is ideal for self-study. Over 290 exercises are provided to challenge the reader's understanding of the material covered and these provide ample opportunity to practice using the language. Mathematica notebooks containing examples, programs and solutions to exercises are available from www.cambridge.org/wellin.
Автор: Barrow, John; Miller, Linda; Malan, Katherine; Gel Название: Introducing Delphi Programming: ISBN: 0195789113 ISBN-13(EAN): 9780195789119 Издательство: Oxford Academ Рейтинг: Цена: 62290.00 T Наличие на складе: Поставка под заказ. Описание: This book teaches distance-learning students how to programme in Delphi a major computer language used to design a variety of programmes.
Автор: Dave Thomas Название: Programming Elixir 1.3: Functional |> Concurrent |> Pragmatic |> Fun ISBN: 168050200X ISBN-13(EAN): 9781680502008 Издательство: Wiley Рейтинг: Цена: 32210.00 T Наличие на складе: Поставка под заказ. Описание: Elixir`s pragmatic syntax and built-in support for metaprogramming will make you productive and keep you interested for the long haul. Maybe the time is right for the Next Big Thing. Maybe it`s Elixir. This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.3.
Автор: Peter Thiemann Название: Programming Languages and Systems ISBN: 3662494973 ISBN-13(EAN): 9783662494974 Издательство: Springer Рейтинг: Цена: 89440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Simulating Cities: A Software Engineering Perspective.- Regular Programming for Quantitative Properties of Data Streams.- Formalizing Single-assignment Program Verification: an Adaptationcomplete Approach.- Practical Optional Types for Clojure.- A Timed Process Algebra for Wireless Networks with an Application in Routing.- Computing with semirings and weak rig groupoids.- On Hierarchical Communication Topologies in the pi-calculus.- Modular Termination Verification for Non-blocking Concurrency.- Call-by-Push-Value from a Linear Logic point of view.- Visible Type Application.- Automatically Splitting a Two-Stage Lambda Calculus.- Probabilistic NetKAT.-Coordinated Concurrent Programming in Syndicate.- An application of computable distributions to the semantics of probabilistic programming languages.- Weakest Precondition Reasoning for Expected Run-Times of Probabilistic Programs.- Improving Floating-Point Numbers: a Lazy Approach to Adaptive Accuracy Refinement for Numerical Computations.- Needle & Knot: Binder boilerplate tied up.- On the Relative Expressiveness of Higher-Order Session Processes.- A Realizability Model for a Semantical Value Restriction.- Probabilistic functions and cryptographic oracles in higher order logic.- Extensible and Efficient Automation through Reflective Tactics.- An Algorithm Inspired by Constraint Solvers to Infer Inductive Invariants in Numeric Programs.- Functional Big-step Semantics.- Classical by-need.- Macrofication: Refactoring by Reverse Macro Expansion.- Type Error Diagnosis for Embedded DSLs by Two-Stage Specialized Type Rules.- Actor Services: Modular Verification of Message Passing Programs.- Transfinite Step-indexing: Decoupling Concrete and Logical Steps.- A Higher-Order Abstract Syntax Approach to Verified Transformations on Functional Programs.- The Expressive Power of Monotonic Parallel Composition.
Автор: Matt Wiley; Joshua F. Wiley Название: Advanced R Statistical Programming and Data Models ISBN: 1484228715 ISBN-13(EAN): 9781484228715 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.
Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language.
What You’ll Learn
Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processingCarry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysisHandle machine learning using R including parallel processing, dimension reduction, and feature selection and classificationAddress missing data using multiple imputation in RWork on factor analysis, generalized linear mixed models, and modeling intraindividual variability
Who This Book Is For
Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are given proven code to reduce time to result(s).
Автор: Hongseok Yang Название: Programming Languages and Systems ISBN: 3662544334 ISBN-13(EAN): 9783662544334 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 26th European Symposium on Programming, ESOP 2017, which took place in Uppsala, Sweden in April 2017, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017.The 36 papers presented in this volume were carefully reviewed and selected from 112 submissions.
Автор: Castor Название: Programming Languages ISBN: 3319452789 ISBN-13(EAN): 9783319452784 Издательство: Springer Рейтинг: Цена: 39130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 20th Brazilian Symposium on Progamming Languages, SBLP 2016, held in Maringa, Brazil, in September 2016. The 12 papers presented in this volume were carefully reviewed and selected from 26 submissions.
Автор: Varela Carlos A Название: Programming Distributed Computing Systems ISBN: 0262018985 ISBN-13(EAN): 9780262018982 Издательство: MIT Press Рейтинг: Цена: 38500.00 T Наличие на складе: Нет в наличии. Описание: An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems.
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