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searching for Hessian matrix 19 found (151 total)

Spinodal (728 words) [view diff] exact match in snippet view article find links to article

isothermal liquid-liquid equilibria, the spinodal curve (obtained from the Hessian matrix) and the corresponding critical point can be used to help the experimental

Dortmund Data Bank (612 words) [view diff] exact match in snippet view article find links to article

Correlation Data). Including a Thermodinamic Review and a Graphical User Interface (GUI) for Surfaces/Tie-lines/Hessian matrix analysis - University of Alicante

UNIQUAC (2,210 words) [view diff] exact match in snippet view article find links to article

(including binary subsystems, experimental and calculated lie-lines, Hessian matrix, etc.). UNIQUAC has been extended by several research groups. Some selected

Non-random two-liquid model (2,507 words) [view diff] exact match in snippet view article find links to article

and calculated tie-lines, calculated plait point location (by using Hessian matrix), etc.) by using a phase stability test such as, the Free Gibss Energy

Bundle adjustment (1,042 words) [view diff] no match in snippet view article find links to article

problem. This is the arrowhead sparsity pattern of a 992×992 normal-equation (i.e. approximate Hessian) matrix. Black regions correspond to nonzero blocks.

Marginal rate of substitution (1,503 words) [view diff] exact match in snippet view article find links to article

of Utility Function}}} For more than two variables, the use of the Hessian matrix is required. Marginal concepts Marginal rate of technical substitution

Graphical user interface (3,767 words) [view diff] exact match in snippet view article find links to article

Review and a Graphical User Interface (GUI) for Surfaces/Tie-lines/Hessian matrix analysis – University of Alicante (Reyes-Labarta et al. 2015–18) Innovative

Liquid–liquid extraction (5,883 words) [view diff] exact match in snippet view article find links to article

for the analysis of Gibbs Energy surfaces, including LL tie-lines and Hessian matrix". University of Alicante. hdl:10045/51725. Adamo, Andrea; Heider, Patrick

Stokes' law (3,084 words) [view diff] exact match in snippet view article find links to article

= ∇ ⊗ ∇ {\displaystyle \mathrm {H} =\nabla \otimes \nabla } is the Hessian matrix differential operator and S = I ∇ 2 − H {\displaystyle \mathrm {S} =\mathbf

Gibbs free energy (4,544 words) [view diff] exact match in snippet view article find links to article

mixing calculation and activity coefficients Spinodal – Spinodal Curves (Hessian matrix) Standard molar entropy Thermodynamic free energy UNIQUAC model – Gibbs

Preconditioner (3,511 words) [view diff] exact match in snippet view article find links to article

{\displaystyle P_{n}^{-1}=H_{n}} , a BFGS approximation of the inverse hessian matrix, this method is referred to as a Quasi-Newton method. Shewchuk, Jonathan

Simultaneous perturbation stochastic approximation (1,555 words) [view diff] exact match in snippet view article find links to article

stochastic approximation. SPSA can also be used to efficiently estimate the Hessian matrix of the loss function based on either noisy loss measurements or noisy

Monte Carlo method (10,690 words) [view diff] exact match in snippet view article find links to article

features of the posterior. To provide efficient random estimates of the Hessian matrix of the negative log-likelihood function that may be averaged to form

Expectation–maximization algorithm (7,512 words) [view diff] exact match in snippet view article find links to article

generalization of the log-EM algorithm. No computation of gradient or Hessian matrix is needed. The α-EM shows faster convergence than the log-EM algorithm

Fokker–Planck equation (7,529 words) [view diff] exact match in snippet view article find links to article

{\det H(x_{0})}}},} where: H ( x 0 ) {\displaystyle H(x_{0})} is the Hessian matrix of ϕ at the stable point x0, H ( x s ) {\displaystyle H(x_{s})} is the

Scale space (6,616 words) [view diff] exact match in snippet view article find links to article

{\displaystyle \nabla ^{2}L=L_{xx}+L_{yy}\,} or the determinant of the Hessian matrix det ⁡ H L ( x , y ; t ) = ( L x x L y y − L x y 2 ) . {\displaystyle

Multivariate kernel density estimation (4,242 words) [view diff] exact match in snippet view article find links to article

identity matrix, with m2 = 1 for the normal kernel D2ƒ is the d × d Hessian matrix of second order partial derivatives of ƒ Ψ 4 = ∫ ( vec D 2 ⁡ f ( x )

Variance function (4,499 words) [view diff] exact match in snippet view article find links to article

\beta _{r}}}=(y-\mu )W{\frac {\partial \eta }{\partial \mu }}x_{r}} The Hessian matrix is determined in a similar manner and can be shown to be, H = X T (

Local linearization method (12,708 words) [view diff] exact match in snippet view article find links to article

respectively, and f x x {\displaystyle \mathbf {f} _{\mathbf {xx} }} the Hessian matrix of f {\displaystyle \mathbf {f} } with respect to x {\displaystyle \mathbf