Advances in fields such as bioengineering, industrial engineering, and robotic design now require engineers to have a sound background in statistical methods to optimize performance and minimize error in problem-solving applications. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions. In terms of content, it covers the sequence of mathematical topics needed by the majority of university courses, including calculus, error-handling, and ODEs; in addition, the book covers statistical computation and testing of hypothesis usually omitted from numerical methods texts. Using flow charts and computer programs, the authors demonstrate how the mathematical concepts will be implemented in practical applications such as circuits, signal processing, and more. A CD-ROM with the source code for the in-text computer programs includes calculation routines and simulations.
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About the Author
M. Goyal is a university instructor and the author of twelve books on mathematical topics.
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1 of 2 people found the following review helpful:
5.0 out of 5 stars
It's an excellent technical manual not to be missed.,
By Midwest Book Review (Oregon, WI USA) - See all my reviews
This review is from: Computer-Based Numerical & Statistical Techniques (Mathematics) (Hardcover)
College-level computer collections and specialty computer libraries will appreciate the technical detail and depth in Computer-Based Numerical & Statistical Techniques, a survey applicable not just to computer libraries but to libraries strong in industrial engineering, math, and science. This joins statistical analysis with computer-based numerical models and offers software-based examples and solutions, covering a range of math topics needed by the majority of university courses in calculus and ODEs. It's an excellent technical manual not to be missed.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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press enter, input section, floating type, print output, frequency polygon, loop variables, function declaration, terms scanf, query printf, backward difference table, forward difference table, divided difference formula, normalized floating point representation, second degree parabola, range printf, divided difference table, backward formula, float fun, difference interpolation formula, forward difference formula, most plausible values, equidistant values, array limit, corrector formula, predictor formula Key Phrases - Capitalized Phrases (CAPs): (learn more)
Output Section, Integer Type, Invoke User Watch Halt Function, Termination of Main Execution Thread, Milne's Method, Apply Hermite, Applying Newton, Using Newton, Invoke Function Clear Screen, Using Simpson, End of Program, Repeat Step, Use Newton, Upper Limit, Lower Limit, Apply Bessel, After Iteration, Predictor-Corrector Method, Function Prototype Declaration, Taking Sum, Use Lagrange, User Querry, Runge-Kutta Method, Invoke Clear Screen Function, Apply Gauss Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
press enter, input section, floating type, print output, frequency polygon, loop variables, function declaration, terms scanf, query printf, backward difference table, forward difference table, divided difference formula, normalized floating point representation, second degree parabola, range printf, divided difference table, backward formula, float fun, difference interpolation formula, forward difference formula, most plausible values, equidistant values, array limit, corrector formula, predictor formula Key Phrases - Capitalized Phrases (CAPs): (learn more)
Output Section, Integer Type, Invoke User Watch Halt Function, Termination of Main Execution Thread, Milne's Method, Apply Hermite, Applying Newton, Using Newton, Invoke Function Clear Screen, Using Simpson, End of Program, Repeat Step, Use Newton, Upper Limit, Lower Limit, Apply Bessel, After Iteration, Predictor-Corrector Method, Function Prototype Declaration, Taking Sum, Use Lagrange, User Querry, Runge-Kutta Method, Invoke Clear Screen Function, Apply Gauss Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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