# What is mat lab? # What does mat lab stands for? # What does mat lab do? # How are solutions expressed in mat lab? # What are the advantages of using mat lab? # What is the basic data element of mat lab? # Does matrix in mat lab require dimensioning? # What are toolboxes? # What areas are toolboxes are available in? # What are different types of system mat lab can handle? # What is the statement for linear convolution? # What is the statement for cross correlation? # What is the statement for auto correlation? # Statement for finding FFT? # What is the language used in mat lab? # What is a vector (reference to mat lab)? # What is matrix? # Syntax for simple array definition? # Significance of increment in array definition? # Why is terminate needed in array definition? # How is a matrix defined? # How are different row elements separated? # If we don't use a comma in separating elements of same row what else we can do? # What is a plot? # What function is used to generate a 3D graphic? # How many digits mat lab shows by default? # Syntax of hyperbola tangent function? # Syntax for inverse cosine function? # Function for complex conjugate? # Function for real part? # Function for imaginary part? # What does fix stand for? # What does ceil and floor stand for? # Command for polar coordinate plot? # Command for discrete sequence plot? # How do we label x and y axis? # How can we take values from the user? # What are the applications of dip in image processing? # What is signal? # What is a oneD and 2D signal? # What is a continuous and discrete signal? # What are random signals? # What are periodic signals? # What are stable systems? # What is the order of the system?
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Matlab comes with a free C compiler. It also has a script compiler in some versions. In addition you can use many commercial compilers if you have one. See (link moved to link section)
command window is a window in matlab environment, role of command window is that it shows output of some particular programme other than graph.
There is a lot of information on the net about SVMs, and some matlab toolboxes contain the implemented code (i.e. SPIDER). Also look into "svmclassify and svmtrain" on matlab which seems to be a part of the Bioinformatics Toolbox. You can find good tutorials on VC Dimension and SVMs at http://www.autonlab.org/tutorials If you want to look at some brief matlab code, check out: Technical Report: "Support Vector Machines for Classification and Regression" by Steve R. Gunn from the University of Southampton (1998).
Many programming languages do the same. Note that you can extend the range, simply by multiplying by some number. For example, if you want a random number between 0 and 10, multiply the random number by 10.
Basically some basic US history and politics questions.