*The Art of Scientific Computing*

Author: William H. Press

Publisher: Cambridge University Press

ISBN: 9780521437202

Category: C (Computer program language)

Page: 994

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## Numerical Recipes in C

The example books published as part of the Numerical Recipes second edition series contain source programs that exercise and demonstrate all of the Numerical Recipes subroutines. Each example program contains comments and is prefaced by a short description of what it does. The books contain all of the old material from the original edition as well as new material from the second edition. They will be valuable for readers who wish to incorporate procedures and subroutines into their own source programs. They are available in both FORTRAN and C.
## Numerical Recipes Example Book (C++)

Contains C++ source programs that exercise and demonstrate all of the subroutines, procedures, and functions in Numerical Recipes in C++.
## Numerical Recipes 3rd Edition

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.
## Numerical Recipes Code CD-ROM with UNIX Single Screen License CD-ROM

The Numerical Recipes Code CD -ROM contains, in a single omnibus edition, all the source code for the routines and examples from: Numerical Recipes in Fortran 77: The Art of Scientific Computing (Second Edition), Numerical Recipes in Fortran 90: The Art of Parallel Scientific Computing, Numerical Recipes in C: The Art of Scientific Computing (Second Edition), both ANSI and K&R C, Numerical Recipes in Pascal: The Art of Scientific Computing,and Numerical Recipes Routines and Examples in BASIC. The ISO 9660 standard format CD-ROM includes HTML files that allow the use of any Web browser to navigate among all the program files. The CD-ROM also contains the complete public domain SLATEC Common Mathematical Library, a comprehensive collection of over 1400 mathematical and statistical routines. A UNIX one-screen code use license is included.
## Numerical recipes in C

## Numerical Recipes Routines and Examples in BASIC (First Edition)

This book contains the routines and demonstration programs from the first edition of the highly acclaimed reference book, Numerical Recipes: The Art of Scientific Computing. It includes computer code and code captions from the book and example book and the commentary from the example book. The author employs a contemporary version of BASIC, Microsoft QuickBasic 4.5, which roughly follows the structure of FORTRAN; in fact, the recipes found in this book are easily adapted for other modern forms of BASIC. This book is recommended for use with one of the main Numerical Recipes books, such as Numerical Recipes in Fortran 77 [link to 43064X]. The programs contained in this book are also available as machine-readable code on the Numerical Recipes Code CD-ROM with Windows/Macintosh Single Screen License [link to 576083].
## Parallel Scientific Computing in C++ and MPI

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.
## A Primer on Scientific Programming with Python

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 2010 Those 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 2011 This 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 a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
## Numerical Methods, Algorithms and Tools in C#

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 routines employing the exciting, easy-to-learn C# programming language from Microsoft. The book focuses on standard numerical methods, novel object-oriented techniques, and the latest Microsoft .NET programming environment. It covers complex number functions, data sorting and searching algorithms, bit manipulation, interpolation methods, numerical manipulation of linear algebraic equations, and numerical methods for calculating approximate solutions of non-linear equations. The author discusses alternative ways to obtain computer-generated pseudo-random numbers and real random numbers generated by naturally occurring physical phenomena. He also describes various methods for approximating integrals and special functions, routines for performing statistical analyses of data, and least squares and numerical curve fitting methods for analyzing experimental data, along with numerical methods for solving ordinary and partial differential equations. The final chapter offers optimization methods for the minimization or maximization of functions. Exploiting the useful features of C#, this book shows how to write efficient, mathematically intense object-oriented computer programs. The vast array of practical examples presented can be easily customized and implemented to solve complex engineering and scientific problems typically found in real-world computer applications.
## A Numerical Library in C for Scientists and Engineers

This extensive library of computer programs-written in C language-allows readers to solve numerical problems in areas of linear algebra, ordinary and partial differential equations, optimization, parameter estimation, and special functions of mathematical physics. The library is based on NUMAL, the program assemblage developed and used at the Centre for Mathematics and Computer Science in Amsterdam, one of the world's leading research centers. The important characteristic of the library is its modular structure. Because it is highly compact, it is well-suited for use on personal computers. The library offers the expert a prodigious collection of procedures for implementing numerical methods. The novice can experiment with the worked examples provided and use the more comprehensive procedures to perform mathematical computations. The library provides a powerful research tool for computer scientists, engineers, and applied mathematicians. Applicable materials can be downloaded from the CRC Press website.
## Real Computing Made Real

This concise guide to trouble-shooting offers practical advice on detecting and removing the bugs, preserving significant figures, avoiding extraneous solutions, and finding efficient iterative processes for solving nonlinear equations. 1996 edition.
## Practical Neural Network Recipies in C++

This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.
## GNU Scientific Library

The GNU Scientific Library (GSL) is a free numerical library for C and C++ programmers. It provides over 1,000 routines for solving mathematical problems in science and engineering. Written by the developers of GSL this reference manual is the definitive guide to the library. All the money raised from the sale of this book supports the development of the GNU Scientific Library. This is the third edition of the manual, and corresponds to version 1.12 of the library (updated January 2009).
## Numerical Recipes Multi-Language Code CD ROM with LINUX Or UNIX Single-Screen License Revised Version

A single omnibus edition containing all the Numerical Recipes source code in all languages, including the brand-new C++, plus a single screen license for a LINUX or UNIX workstation.
## C++ Scientific Programming

Teaches the design of programs for scientific computation in C++ Introduces unique C++ classes, defines the particular relationships among these classes, and demonstrates their use in a dozen of the most powerful current applications Presents a set of practices that allows programmers to embrace the attractive features of C++ without incurring undesired side effects and hidden costs Includes a collection of source code files downloadable from the Wiley ftp site Originally announced as Scientific Program Design: C++ for Native Fortran Writers
## Numerical Methods for Scientists and Engineers

This inexpensive paperback edition of a groundbreaking text stresses frequency approach in coverage of algorithms, polynomial approximation, Fourier approximation, exponential approximation, and other topics. Revised and enlarged 2nd edition.
## IPython Interactive Computing and Visualization Cookbook, Second Edition

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book Description Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What you will learn Master all features of the Jupyter Notebook Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Simulate deterministic and stochastic dynamical systems in Python Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory Who this book is for This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
## 21st Century C

Throw out your old ideas about C and get to know a programming language that’s substantially outgrown its origins. With this revised edition of 21st Century C, you’ll discover up-to-date techniques missing from other C tutorials, whether you’re new to the language or just getting reacquainted. C isn’t just the foundation of modern programming languages; it is a modern language, ideal for writing efficient, state-of-the-art applications. Get past idioms that made sense on mainframes and learn the tools you need to work with this evolved and aggressively simple language. No matter what programming language you currently favor, you’ll quickly see that 21st century C rocks. Set up a C programming environment with shell facilities, makefiles, text editors, debuggers, and memory checkers Use Autotools, C’s de facto cross-platform package manager Learn about the problematic C concepts too useful to discard Solve C’s string-building problems with C-standard functions Use modern syntactic features for functions that take structured inputs Build high-level, object-based libraries and programs Perform advanced math, talk to internet servers, and run databases with existing C libraries This edition also includes new material on concurrent threads, virtual tables, C99 numeric types, and other features.
## The Art of Molecular Dynamics Simulation

The extremely powerful technique of molecular dynamics simulation involves solving the classical many-body problem in contexts relevant to the study of matter at the atomistic level. Since there is no alternative approach capable of handling this extremely broad range of problems at the required level of detail, molecular dynamics methods have proved themselves indispensable in both pure and applied research. This book, first published in 2004, is a blend of tutorial and recipe collection, providing both an introduction to the subject for beginners and a reference manual for the more experienced practitioner. It is organized as a series of case studies that take the reader through each of the steps from formulating the problem, developing the necessary software, and then using the programs to make actual measurements. The second edition of the book includes a substantial amount of new material as well as completely rewritten software.

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*The Art of Scientific Computing*

Author: William H. Press

Publisher: Cambridge University Press

ISBN: 9780521437202

Category: C (Computer program language)

Page: 994

View: 6015

*The Art of Scientific Computing*

Author: William T. Vetterling

Publisher: Cambridge University Press

ISBN: 9780521750349

Category: Computers

Page: 318

View: 7119

*The Art of Scientific Computing*

Author: William H. Press

Publisher: Cambridge University Press

ISBN: 0521880688

Category: Computers

Page: 1235

View: 5061

*Includes Source Code for Numerical Recipes in C, Fortran 77, Fortran 90, Pascal, BASIC, Lisp and Modula 2 plus many extras*

Author: William H. Press,Saul A. Teukolsky,William T. Vetterling,Brian P. Flannery

Publisher: Cambridge University Press

ISBN: 9780521576079

Category: Mathematics

Page: 994

View: 601

*the art of scientific computing. Volume 1 of Fortran numerical recipes*

Author: N.A

Publisher: Cambridge University Press

ISBN: 9780521430647

Category:

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Author: Julien C. Sprott,Numerical Recipes Software (Firm)

Publisher: Cambridge University Press

ISBN: 9780521406895

Category: Computers

Page: 398

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*A Seamless Approach to Parallel Algorithms and their Implementation*

Author: George Em Karniadakis,Robert M. Kirby II

Publisher: Cambridge University Press

ISBN: 110749477X

Category: Computers

Page: 628

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Author: Hans Petter Langtangen

Publisher: Springer

ISBN: 3662498871

Category: Computers

Page: 922

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Author: Waldemar Dos Passos

Publisher: CRC Press

ISBN: 1420007602

Category: Mathematics

Page: 598

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Author: Hang T. Lau

Publisher: CRC Press

ISBN: 9781420050103

Category: Mathematics

Page: 816

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*Preventing Errors in Scientific and Engineering Calculations*

Author: Forman S. Acton

Publisher: Courier Corporation

ISBN: 0486152936

Category: Mathematics

Page: 288

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Author: Masters

Publisher: Elsevier

ISBN: 0080514332

Category: Computers

Page: 493

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*Reference Manual*

Author: Brian Gough

Publisher: Network Theory.

ISBN: 9780954612078

Category: Computers

Page: 573

View: 1876

*Source Code for the Second Edition Versions of C, C++, Fortran 77, Fortran 90, and the First Edition Versions of Pascal, Basic, Lisp and Modula 2 Plus Many Extras*

Author: William H. Press,Saul A. Teukolsky,William T. Vetterling,Brian P. Flannery

Publisher: N.A

ISBN: 9780521750363

Category: Computers

Page: 1002

View: 4574

*Computational Recipes at a Higher Level*

Author: John R. Berryhill

Publisher: Wiley-Interscience

ISBN: 9780471412106

Category: Computers

Page: 258

View: 2673

Author: Richard Hamming

Publisher: Courier Corporation

ISBN: 0486134822

Category: Mathematics

Page: 752

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*Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook*

Author: Cyrille Rossant

Publisher: Packt Publishing Ltd

ISBN: 1785881930

Category: Computers

Page: 548

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*C Tips from the New School*

Author: Ben Klemens

Publisher: "O'Reilly Media, Inc."

ISBN: 1491904437

Category: Computers

Page: 408

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Author: D. C. Rapaport

Publisher: Cambridge University Press

ISBN: 9780521825689

Category: Science

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