| Matrices and Arrays | Introduces the basic data structures used in MATLAB®:
the two-dimensional matrix and multidimensional array (plus scalar,
vector, and empty matrices), and describes how to construct and work
with these classes. |
| Built-In Classes (Data Types) | Presents the types of data used in MATLAB®: numeric,
logicals, characters, dates, structures, cell arrays, function handles,
and object-oriented classes. |
| Basic Program Components | Presents the principal building blocks used in MATLAB® programming:
variables, keywords, special values, operators, expressions, regular
expressions, comma-separated lists, control statements, symbols, and
the extensive set of functions provided with MATLAB®. |
| Functions and Scripts | Describes the overall process of developing programs
in MATLAB®. This chapter shows you how to work with M-files to
create scripts and functions. It describes the various types of functions
you can create, how to make calls to functions, handle argument data,
and use function handles. |
| Types of Functions | Describes the various types of functions you can work
with in MATLAB®. These include the primary function, subfunctions,
nested functions, anonymous functions, overloaded functions, and private
functions. |
| Data Import and Export | Explains how to import and export data between MATLAB® and
the many different types of data files supported by MATLAB® (including
text, spreadsheet, graphics, and audio/video files, files formatted
for scientific data, and files you might want to exchange over the
Internet |
| Scientific Data File Formats | Access data stored in scientific formats such as HDF4,
HDF5, CDF, and FITS. |
| Error Handling | Describes how to put error checking into your programs,
and how to identify, handle, and possibly recover from errors that
occur. It also explains how to use message identifiers to better identify
the source of an error, and how to selectively display or ignore warning
messages. |
| Program Scheduling | Describes how to use the MATLAB® Timer object
to schedule program execution |
| Performance | Explains techniques you can use to get the best performance
from your M-file programs. This includes information on MATLAB® tools
that measure the performance of your programs and identify where the
bottlenecks are. |
| Memory Usage | Explains techniques you can use to get the most efficient
memory usage from your M-file programs. This includes information
that advises what to do if you get an "Out of Memory" error. |
| Programming Tips | Provides a resource for the MATLAB® programmer
to pick up hints on helpful and time-saving practices. This section
covers a wide range of topics, and attempts to address questions often
raised by intermediate to experienced MATLAB® users. |
