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This is a list of simultaneous localization and mapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list of Visual SLAM methods. List of methods
Here, = + / < is the ratio of grid points on "neighboring" grids and is assumed to be constant throughout the grid hierarchy, and is some constant modeling the effort of computing the result for one grid point.
Sparse grids are numerical techniques to represent, integrate or interpolate high dimensional functions. They were originally developed by the Russian mathematician Sergey A. Smolyak, a student of Lazar Lyusternik, and are based on a sparse tensor product construction.
Occupancy Grid Mapping refers to a family of computer algorithms in probabilistic robotics for mobile robots which address the problem of generating maps from noisy and uncertain sensor measurement data, with the assumption that the robot pose is known. Occupancy grids were first proposed by H. Moravec and A. Elfes in 1985.
The "chart" actually consists of a pair of charts: one, the individuals chart, displays the individual measured values; the other, the moving range chart, displays the difference from one point to the next.
Grid lines are then drawn to indicate 5 different classifications (Regions A-E) based on clinical relevance: Region A: the new meter's values differ from the reference meter's values by no more than 20% (suggesting the new meter produces accurate values);
NCEP codes free software (C and FORTRAN library) for decoding and encoding data in GRIB 1 format; NCEP codes free software (C and FORTRAN library) for decoding and encoding data in GRIB 2 format (some template only) JGrib - Jgrib is a free library for reading GRIB files in Java.
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.