Numerical Recipes in C: The Art of Scientific Computing
By M. C. Seiler, F. A. Seiler. 1989
Subfields: Numerical Methods & Scientific Computing
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In Numerical Methods & Scientific Computing
- Luis Gravano
- Alfons G. Hoekstra
- Maxim A. Yurkin
- Michael J. Black
- Jack J. Dongarra
- Alexander G. Gray
- Richard I. Hartley
- C. Burges
Citations in the corpus
- Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method (2012, methodology): “The calibration constants αY, βY and αZ, βZ can be calculated using a simple linear least-squares approximation that considers errors in both variables (Press et al., 1992).”
- Local-Group tests of dark-matter concordance cosmology - Towards a new paradigm for structure formation (2010, methodology): “The treatment of baryonic processes include time-evolving photoionisation, metallicity-dependent gas cooling and p hotoheating, supernova (SN) feedback, and chemical enrichment by means of SN Ia and II and AGB stars. Re-ionisation is included and the galactic winds driven by stellar feedback are ass”
- Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis (2006, methodology): “Assuming that sorting is an process [30], then for images with labels and voxels per image, direct evaluation of (4) carries a computational cost compared with by applying the sorting approach outlined above.”
- Geometric Camera Calibration Using Circular Control Points (2000, background): “Let us assume, that there are N circular control points and K images that are indexed by n = 1,..., N and k = 1,...,”
- Computation of the continuous-time PAR of an OFDM signal with BPSK subcarriers (2001, background): “Step 2) Obtain the coefficients of in (8).”
- DETAILED DECOMPOSITION OF GALAXY IMAGES. II. BEYOND AXISYMMETRIC MODELS (2009, methodology): “In the Levenberg-Marquardt algorithm, the minimization process involves computing a Hessian matrix, which is closely related to the covariance matrix of the parameters (e.g., see Press et al. 1992).”
- A multiwavelength view on the dusty Wolf-Rayet star WR 48a ★ (2014, methodology): “All the spectral fits were done by making use of the Levenberg-Marquardt method for non-linear fitting (e.g., Section 15.5 in Press et al. 1992).”
- Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm (2005, methodology): “To minimize the target function, the Levenberg– Marquardt nonlinear least-squares-fitting algorithm, described in detail by Press et al [74], has been used.”
- Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations (2002, methodology): “Calculating the matrix square root with the Cholesky Decomposition takes about n(3)/3 calcuations [14].”
- Direct Maximization of Average Precision by Hill-Climbing, with a Comparison to a Maximum Entropy Approach (2004, methodology): “In the case of the standard tf-idf formula, � ji is the term frequency and φ i the inverse document fre-υ If the document corpus and set of terms is held fixed, the average precision calculation can be considered a function f : ∃ N � [0 , 1] mapping � to a single aver age precision value.”
- BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments (2010, methodology): “…BMGE implements it with, on the one hand, matrix operations available in the JAMA package [35], and, on the other hand, with fast and accurate numerical algorithms for estimating c 2 cumulative distribution functions (adapted in Java from the C code sources available p. 216-219 in [44]).”