The Spline Toolbox extends MATLAB® with tools for creating, viewing, and analyzing spline approximations of data. Splines are smooth piecewise polynomials that can be used to represent functions over large intervals, where it would be impractical to use a single approximating polynomial. They have become a standard tool for modeling arbitrary functions.
The Spline Toolbox includes a graphical user interface (GUI) that provides easy access to functions for creating, visualizing, and manip- ulating splines. The toolbox also contains functions that enable you to evaluate, plot, combine, differentiate, and integrate splines.
Because all toolbox functions are imple-mented in the open MATLAB language, you can inspect the algorithms, modify the source code, and create your own custom functions.
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Model and analyze financial and economic systems using statistical methods!
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Fit curves and surfaces to data using regression, interpolation, and smoothing!!
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Read, analyze, and visualize genomic, proteomic, and microarray data!
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Design and analyze algorithms for the physical layer of communication systems!
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Perform real-time rapid control prototyping and hardware-in-the-loop simulation
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Acquire and send out data from plug-in data acquisition boards!!
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Build standalone executables and software components from MATLAB code
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Perform parallel computations on multicore computers, GPUs, and computer clusters!
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Design and simulate the physical layer of communication systems!!
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Solve standard and large-scale optimization problems!
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Cosimulate and verify VHDL and Verilog using HDL simulators!
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Generate documentation for MATLAB applications and data
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