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Longer titles found: Hessian automatic differentiation (view)

searching for Automatic differentiation 23 found (99 total)

alternate case: automatic differentiation

Harley Flanders (1,583 words) [view diff] exact match in snippet view article find links to article

workshop on automatic differentiation, held in Breckenridge, Colorado. Flanders' chapter in the Proceedings is titled "Automatic differentiation of composite

Apache Commons (260 words) [view diff] exact match in snippet view article find links to article

monitoring solution for Java applications. Nabla Nabla provides automatic differentiation classes that can generate derivative of any function implemented

Acyclic coloring (720 words) [view diff] case mismatch in snippet view article find links to article

"Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation", INFORMS Journal on Computing, 21 (2): 209–223, doi:10.1287/ijoc

Carl B. Allendoerfer Award (114 words) [view diff] case mismatch in snippet view article find links to article

Names of (7,3,1) Dan Kalman 2003 Doubly Recursive Multivariate Automatic Differentiation Mark McKinzie and Curtis Tuckey 2002 Higher Trigonometry, Hyperreal

List of numerical-analysis software (2,457 words) [view diff] exact match in snippet view article find links to article

suite for non-linear statistical modeling based on C++ which uses automatic differentiation. AMPL is a mathematical modeling language for describing and solving

George Pólya Award (121 words) [view diff] case mismatch in snippet view article find links to article

Evolution of the Function Concept: A Brief Survey 1990 D. Neidinger Automatic Differentiation & APL 1989 Edward Rozema Why Should We Pivot in Gaussian Elimination

Comparison of numerical-analysis software (993 words) [view diff] exact match in snippet view article find links to article

1989 1990 13.1 December 23, 2022 Free BSD 3-clause (aka new) Automatic differentiation makes it well suited to complex minimization problems Analytica

Maple (software) (2,564 words) [view diff] exact match in snippet view article

and indefinite integration, definite and indefinite summation, automatic differentiation and continuous and discrete integral transforms Constrained and

Asynclitic birth (2,393 words) [view diff] exact match in snippet view article find links to article

(January 2022). "Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during

List of finite element software packages (257 words) [view diff] exact match in snippet view article find links to article

scripts and the GUI supports exporting models in script format automatic differentiation: Yes Yes Yes Forward-mode for Jacobian computation, symbolic differentiation

Dan Kalman (1,130 words) [view diff] case mismatch in snippet view article find links to article

JSTOR 2695555. Kalman, Dan (June 2002). "Doubly Recursive Multivariate Automatic Differentiation" (PDF). Mathematics Magazine. 75 (3): 187–203. doi:10.1080/0025570X

Gekko (optimization software) (1,935 words) [view diff] exact match in snippet view article

methods such as backpropagation. The gradients are determined by automatic differentiation, similar to other popular packages. The problem is solved as a

Reverse computation (1,807 words) [view diff] exact match in snippet view article find links to article

David; Utke, Jean (1996). "Algorithm 755: Adolc: a package for the automatic differentiation of algorithms written in c/c++". ACM Transactions on Mathematical

Tensor software (1,988 words) [view diff] exact match in snippet view article find links to article

notation. TensorRules.jl provides a macro, which enable us to use automatic differentiation (AD) libraries (e.g., Zygote.jl, ForwardDiff.jl) with @tensor

Symposium on Geometry Processing (267 words) [view diff] case mismatch in snippet view article find links to article

Line Drawing Vectorization 2022 Patrick Schmidt et al. TinyAD: Automatic Differentiation in Geometry Processing Made Simple Payam Khanteimouri et al. Rational

MOOSE (software) (2,791 words) [view diff] exact match in snippet view article

and Discontinuous Galerkin (DG) (at the same time) Forward-mode automatic differentiation for Jacobian matrix computation Intuitive parallel multiscale

Thomas F. Coleman (405 words) [view diff] exact match in snippet view article find links to article

journal articles in the areas of parallel computing, optimization, automatic differentiation, computational finance, and optimization applications and is the

Owl Scientific Computing (1,290 words) [view diff] exact match in snippet view article find links to article

functionality, Owl provides the algorithmic differentiation (or automatic differentiation) and dynamic computation graph modules. The highest level in the

Accelerated Linear Algebra (239 words) [view diff] exact match in snippet view article find links to article

enhance computational efficiency and performance. grad: Supports automatic differentiation. jit: Just-in-time compilation for optimizing TensorFlow operations

Matrix calculus (6,664 words) [view diff] case mismatch in snippet view article find links to article

Martin; Hovland, Paul; Naumann, Uwe; Utke, Jean (eds.). Advances in Automatic Differentiation. Lecture Notes in Computational Science and Engineering. Vol. 64

Mechanics of planar particle motion (9,960 words) [view diff] case mismatch in snippet view article find links to article

Christele Faure, Andreas Griewank, Laurent Hascoet (editors) (2002). Automatic Differentiation of Algorithms: From Simulation to Optimization. Springer. p. 131

List of women in mathematics (22,066 words) [view diff] exact match in snippet view article find links to article

explore symmetry Andrea Walther (born 1970), German expert in automatic differentiation Chelsea Walton (born 1983), African-American researcher in noncommutative

Tensor (machine learning) (3,570 words) [view diff] exact match in snippet view article

tensors in higher dimensions. The unified data architecture and automatic differentiation of tensors has enabled higher-level designs of machine learning