Learn IT - Books tags differential

The Finite Element Method Using MATLAB, Second Edition

CRC Press, 2000

Expanded to include a broader range of problems than the bestselling first edition, Finite Element Method Using MATLAB: Second Edition presents finite element approximation concepts, formulation, and programming in a format that effectively streamlines the learning process. It is written from a general engineering and mathematical...

S+Functional Data Analysis User's Guide

Springer, 2005

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...

Numerical Methods for Chemical Engineers with MATLAB Applications

Prentice Hall, 1999

Master numerical methods using MATLAB, today's leading software for problem solving.

This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment....

Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB

Springer, 2011

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical...

Innovations for Shape Analysis: Models and Algorithms (Mathematics and Visualization)

Springer, 2013

The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in...

Spectral Methods in MATLAB (Software, Environments, Tools)

SIAM, 2001

This is the only book on spectral methods built around MATLAB programs. Along with finite differences and finite elements, spectral methods are one of the three main technologies for solving partial differential equations on computers. Since spectral methods involve significant linear algebra and graphics they are very suitable for the high...

The Mathematica GuideBook for Numerics

Springer, 2007

Computers were initially developed to expedite numerical calculations. A newer, and in the long run, very fruitful field is the manipulation of symbolic expressions. When these symbolic expressions represent mathematical entities, this field is generally called computer algebra [8]. Computer algebra begins with relatively...

Evolutionary Optimization Algorithms

John Wiley & Sons, 2013

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms

Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...

Transforms and Applications Primer for Engineers with Examples and MATLAB® (Electrical Engineering Primer Series)

CRC Press, 2010

Transforms and Applications Primer for Engineers with Examples and MATLAB^® is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers...

Finite Element Modeling for Materials Engineers Using MATLAB®

Springer, 2011

The finite element method is often used for numerical computation in the applied sciences. It makes a major contribution to the range of numerical methods used in the simulation of systems and irregular domains, and its importance today has made it an important subject of study for all engineering students.

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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications: In Honor of Professor Raytcho Lazarov's 40 Years of ... Proceedings in Mathematics & Statistics)

Springer, 2013

One of the current main challenges in the area of scientific computing? is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational...

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