MATLAB toolboxes

MATLAB comes as one main body of built-in functions and codes, and there are many additional specialized MATLAB toolboxes for various applications. As this book is primarily directed towards undergraduate and beginning graduate students, we have restricted ourselves deliberately to using the main body of MATLAB only in our codes and none of its many toolboxes. [Pg.12]

The X-matrix, which consisted of QCT, constitutional, topological, geometrical and lipophilic descriptors was subjected to a GA within the Matlab toolbox.66 We refer... [Pg.307]

The use of mathematical and statistical modeling methods to relate chemical data sets to the state of the chemical system is referred to as chemometrics. A key figure in the development of chemometrics and its application to industrial problems has been B.R. Kowalski [18, 147, 319] who led the Center for Process Analytical Chemistry (CPAC) that was established in 1984. To aid qualitative and quantitative analysis of chemical data, Eigenvector Technologies Inc., a developer of independent commercial software, has provided a number of software solutions, primarily as a Matlab Toolbox [328]. [Pg.3]

S. BaiUet, J.C. Mosher, R.M. Leahy, and D.W. Shattuck. Brainstorm a Matlab toolbox for the processing of MEG and EEG signals. Proceedings of the 5th International Conference on Human Brain Mapping, Neuroimage, 9(6) S246, June 1999. [Pg.392]

EasySpin is a Matlab toolbox for simulating ESR spectra. Tools are included for the following types of CW ESR spectra of solid samples (crystals or powders) ... [Pg.116]

Lasch P. MicrobeMS a Matlab Toolbox for analysis of microbial MALDI-TOF mass spectra. 2015. http //www.microbe-ms.com... [Pg.229]

F2811B.m model generation (MATLAB toolbox) for non-linear process 2... [Pg.397]

OSU SVM Classifier Matlab Toolbox, A MATLAB toolbox with a C++ MEX core to perform fast... [Pg.315]

SVM Object Oriented MATLAB toolbox, including C++ MEX implementation of the SMO by Gavin Cawley... [Pg.315]

The code for the Wood-Berry example is available in this MATLAB Toolbox. A modified version of the code is included with Exercise 20.9. A newer version of the MPC Toolbox is also available, but without this example (Bemporad et al., 2009). [Pg.403]

C.1.7 MATLAB Toolboxes C.2 Computer Simulation with Simulink C.3 Computer Simulation with Lab VIEW... [Pg.492]

Multiphysics/FEMFAB PDE FEM Software with Interface to Matlab Toolboxes... [Pg.1600]

The PoUersWheel (Maiwald and Timmer 2008 Potters Wheel) is another Matlab toolbox that is free for academic research. Potters Wheel imports and exports SBML models, but it is applicable also to any ODE-based modelling. The most useful feature of this code is that it fits the parameters of a model to several datasets (multiple experiments) at once whilst determining parameter identifiability and confidence intervals. [Pg.347]

A related technique is to cross-correlate waveforms from all events in a catalog against each other, to discover all event families. The MATLAB toolbox GISMO includes tools to automate this process. During unrest at Redoubt Volcano in 2009, this was used in near real time to monitor the evolution of swarms (Buurman et al. 2012) (Fig. 9). [Pg.2915]

This algorithm is realized in a MATLAB Toolbox, with two versions - standard or slow working version, available under BSD Lizens as well as eompaet, fast solver which is running several times faster than the standard system as a compiled demo version. [Pg.59]

Daszykowski M, Semeels S, Kaczmarek K, Van Espen P, Croux C, Walczak B. TOMCAT a MATLAB toolbox for multivariate calibration techniques. Chemometr Intell Lab... [Pg.139]

OSU SVM Classifier Matlab Toolbox, http //www.ece.osu.edu/ maj/ osu svm/. This MATLAB toolbox is based on LIBSVM. [Pg.388]

SVM Toolbox, http //asi.insa-rouen.fr/%7Earakotom/toolbox/index. This fairly complex MATLAB toolbox contains many algorithms, including classification using linear and quadratic penalization, multiclass classification. E-regression, v-regression, wavelet kernel, and SVM feature selection. [Pg.391]

The built-in function minsearch is based on a rather unsophisticated algorithm. There are more robust unconstrained minimization functions available in some of the MATLAB Toolboxes, but unfortunately, these are not standard. For simple problems, minsearch often works well enough. It is used here to minimize the sum of squares between fictitious data (program generated data) and a function in which the regression coefficients appear nonlinearly. [Pg.215]

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