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Time-Dependent Problems and Difference Methods
Praise for the First Edition
". . . fills a considerable gap in the numerical analysis literature by providing a self-contained treatment . . . this is an important work written in a clear style . . . warmly recommended to any graduate student or researcher in the field of the numerical solution of partial... | | Calculus for Computer Graphics
Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.
The author draws upon his... | | MATLAB Differential and Integral Calculus
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... |
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Bob Miller's Calc for the Clueless: Calc IIStudent Tested And Approved! If you suffer from math anxiety, then sign up for private tutoring with Bob Miller! Do logarithms, sines, and cosines leave you in a cold sweat? Vectors and derivatives send stress signals to your brain? If so, them you are like the many thousands of students--students of all ages, all levels--who are anxiously trying... | | Financial Modelling in Python (The Wiley Finance Series)
"Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of... | |
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of... |
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Learning SciPy for Numerical and Scientific Computing Second Edition
Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
About This Book
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Use different modules and routines from the SciPy library quickly and efficiently
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Create vectors and matrices and learn how to perform standard mathematical operations...
| | MATLAB Programming for Numerical Analysis
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... | | S+Functional Data Analysis User's Guide
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a... |
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