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, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the;
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Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide;
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Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide;
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The fourth edition of Numerical Methods Using MATLAB (R) provides a clear and rigorous introduction to a wide range of numerical methods;
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in engineering and the life sciences, and most can only be solved approximately using computers. Numerical Analysis of Partial Differential Equations;
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are not as suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can;
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suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can be used for;
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real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.;
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majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods;
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majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods;
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analysis of process systems and computational programming lab, it covers following key points * Comprehensive coverage of numerical analyses based;
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analysis of process systems and computational programming lab, it covers following key points * Comprehensive coverage of numerical analyses based;
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Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;
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numerical examples that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of varying levels;
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that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of varying levels of difficulty aid;
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NUMERICAL ANALYSIS presents topics classically covered in an undergraduate course on numerical analysis and integrates the study;
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Designed for a one-semester course, Introduction to Numerical Analysis and Scientific Computing presents fundamental concepts of numerical;
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The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and;
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A clear, concise, modern text for the introductory numerical analysis market, stressing computer skills and real application. It aims to;
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Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;
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Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;
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Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to;
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Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to;
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This book is written for engineers and other practitioners using numerical methods in their work and serves as a textbook for courses;
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This book is written for engineers and other practitioners using numerical methods in their work and serves as a textbook for courses;
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Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more;
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