| Index Entry | Section |
|---|
|
| J | | |
|---|
| Jacobi elliptic functions | 7.14 Elliptic Functions (Jacobi) |
|
| K | | |
|---|
| knots | 38.3 Constructing the knots vector |
|
| L | | |
|---|
| Laguerre functions | 7.22 Laguerre Functions |
| Lambert function | 7.23 Lambert W Functions |
| Landau distribution | 19.11 The Landau Distribution |
| LAPACK | 14.9 References and Further Reading |
| Laplace distribution | 19.6 The Laplace Distribution |
| LD_LIBRARY_PATH | 2.3 Shared Libraries |
| ldexp | 4.3 Elementary Functions |
| leading dimension, matrices | 8.4 Matrices |
| least squares fit | 36. Least-Squares Fitting |
| least squares fitting, nonlinear | 37. Nonlinear Least-Squares Fitting |
| least squares, covariance of best-fit parameters | 37.8 Computing the covariance matrix of best fit parameters |
| Legendre forms of elliptic integrals | 7.13.1 Definition of Legendre Forms |
| Legendre functions | 7.24 Legendre Functions and Spherical Harmonics |
| length, computed accurately using hypot | 4.3 Elementary Functions |
| length, computed accurately using hypot | 4.3 Elementary Functions |
| Levenberg-Marquardt algorithms | 37.6 Minimization Algorithms using Derivatives |
| Levin u-transform | 29. Series Acceleration |
| Levy distribution | 19.12 The Levy alpha-Stable Distributions |
| Levy distribution, skew | 19.13 The Levy skew alpha-Stable Distribution |
| libraries, linking with | 2.2.1 Linking programs with the library |
| libraries, shared | 2.3 Shared Libraries |
| license of GSL | 1. Introduction |
| light, units of | 39.13 Light and Illumination |
| linear algebra | 13. Linear Algebra |
| linear algebra, BLAS | 12. BLAS Support |
| linear interpolation | 26.3 Interpolation Types |
| linear regression | 36.2 Linear regression |
| linear systems, refinement of solutions | 13.1 LU Decomposition |
| linear systems, solution of | 13.1 LU Decomposition |
| linking with GSL libraries | 2.2.1 Linking programs with the library |
| LMDER algorithm | 37.6 Minimization Algorithms using Derivatives |
| log1p | 4.3 Elementary Functions |
| logarithm and related functions | 7.25 Logarithm and Related Functions |
| logarithm of Beta function | 7.19.5 Beta Functions |
| logarithm of combinatorial factor C(m,n) | 7.19.2 Factorials |
| logarithm of complex number | 5.4 Elementary Complex Functions |
| logarithm of cosh function, special functions | 7.31.3 Hyperbolic Trigonometric Functions |
| logarithm of double factorial | 7.19.2 Factorials |
| logarithm of factorial | 7.19.2 Factorials |
| logarithm of Gamma function | 7.19.1 Gamma Functions |
| logarithm of Pochhammer symbol | 7.19.3 Pochhammer Symbol |
| logarithm of sinh function, special functions | 7.31.3 Hyperbolic Trigonometric Functions |
| logarithm of the determinant of a matrix | 13.1 LU Decomposition |
| logarithm, computed accurately near 1 | 4.3 Elementary Functions |
| Logarithmic random variates | 19.37 The Logarithmic Distribution |
| Logistic distribution | 19.21 The Logistic Distribution |
| Lognormal distribution | 19.16 The Lognormal Distribution |
| long double | 2.6 Long double |
| low discrepancy sequences | 18. Quasi-Random Sequences |
| Low-level CBLAS | D. GSL CBLAS Library |
| LU decomposition | 13.1 LU Decomposition |
|
| M | | |
|---|
| macros for mathematical constants | 4.1 Mathematical Constants |
| magnitude of complex number | 5.2 Properties of complex numbers |
| mailing list archives | 1.6 Further Information |
| mailing list for GSL announcements | 1.3 Obtaining GSL |
| mailing list, bug-gsl | 1.5 Reporting Bugs |
| mantissa, IEEE format | 40.1 Representation of floating point numbers |
| mass, units of | 39.9 Mass and Weight |
| mathematical constants, defined as macros | 4.1 Mathematical Constants |
| mathematical functions, elementary | 4. Mathematical Functions |
| Mathieu Function Characteristic Values | 7.26.2 Mathieu Function Characteristic Values |
| Mathieu functions | 7.26 Mathieu Functions |
| matrices | 8. Vectors and Matrices |
| matrices | 8.4 Matrices |
| matrices, initializing | 8.4.3 Initializing matrix elements |
| matrices, range-checking | 8.4.2 Accessing matrix elements |
| matrix determinant | 13.1 LU Decomposition |
| matrix diagonal | 8.4.6 Creating row and column views |
| matrix factorization | 13. Linear Algebra |
| matrix inverse | 13.1 LU Decomposition |
| matrix square root, Cholesky decomposition | 13.5 Cholesky Decomposition |
| matrix subdiagonal | 8.4.6 Creating row and column views |
| matrix superdiagonal | 8.4.6 Creating row and column views |
| matrix, constant | 8.4.3 Initializing matrix elements |
| matrix, identity | 8.4.3 Initializing matrix elements |
| matrix, operations | 12. BLAS Support |
| matrix, zero | 8.4.3 Initializing matrix elements |
| max | 20. Statistics |
| maximal phase, Daubechies wavelets | 30.2 Initialization |
| maximization, see minimization | 33. One dimensional Minimization |
| maximum of two numbers | 4.7 Maximum and Minimum functions |
| maximum value, from histogram | 21.6 Histogram Statistics |
| mean | 20. Statistics |
| mean value, from histogram | 21.6 Histogram Statistics |
| Mill's ratio, inverse | 7.15.4 Probability functions |
| min | 20. Statistics |
| minimization, BFGS algorithm | 35.7 Algorithms with Derivatives |
| minimization, caveats | 33.2 Caveats |
| minimization, conjugate gradient algorithm | 35.7 Algorithms with Derivatives |
| minimization, multidimensional | 35. Multidimensional Minimization |
| minimization, one-dimensional | 33. One dimensional Minimization |
| minimization, overview | 33.1 Overview |
| minimization, Polak-Ribiere algorithm | 35.7 Algorithms with Derivatives |
| minimization, providing a function to minimize | 33.4 Providing the function to minimize |
| minimization, simplex algorithm | 35.8 Algorithms without Derivatives |
| minimization, steepest descent algorithm | 35.7 Algorithms with Derivatives |
| minimization, stopping parameters | 33.6 Stopping Parameters |
| minimum finding, Brent's method | 33.7 Minimization Algorithms |
| minimum finding, golden section algorithm | 33.7 Minimization Algorithms |
| minimum of two numbers | 4.7 Maximum and Minimum functions |
| minimum value, from histogram | 21.6 Histogram Statistics |
| MINPACK, minimization algorithms | 34.6 Algorithms using Derivatives |
| MINPACK, minimization algorithms | 37.6 Minimization Algorithms using Derivatives |
| MISCFUN | 7.34 References and Further Reading |
| MISER monte carlo integration | 23.3 MISER |
| Mixed-radix FFT, complex data | 15.4 Mixed-radix FFT routines for complex data |
| Mixed-radix FFT, real data | 15.7 Mixed-radix FFT routines for real data |
| Modified Bessel Functions, Fractional Order | 7.5.11 Regular Modified Bessel Functions—Fractional Order |
| Modified Clenshaw-Curtis quadrature | 16.1.2 Integrands with weight functions |
| Modified Cylindrical Bessel Functions | 7.5.3 Regular Modified Cylindrical Bessel Functions |
| Modified Givens Rotation, BLAS | 12.1.1 Level 1 |
| Modified Newton's method for nonlinear systems | 34.6 Algorithms using Derivatives |
| Modified Spherical Bessel Functions | 7.5.7 Regular Modified Spherical Bessel Functions |
| Monte Carlo integration | 23. Monte Carlo Integration |
| MRG, multiple recursive random number generator | 17.9 Random number generator algorithms |
| MT19937 random number generator | 17.9 Random number generator algorithms |
| multi-parameter regression | 36.4 Multi-parameter fitting |
| multidimensional root finding, Broyden algorithm | 34.7 Algorithms without Derivatives |
| multidimensional root finding, overview | 34.1 Overview |
| multidimensional root finding, providing a function to solve | 34.3 Providing the function to solve |
| Multimin, caveats | 35.2 Caveats |
| Multinomial distribution | 19.32 The Multinomial Distribution |
| multiplication | 7.12 Elementary Operations |
|
