Forward-Mode Automatic Differentiation in Julia
We present ForwardDiff, a Julia package for forward-mode automatic differentiation (AD) featuring performance competitive with low-level languages like C++.
Lubin, Miles +2 more
core
Numerical studies of the thermal design sensitivity calculation for a reaction-diffusion system with discontinuous derivatives [PDF]
The aim of this study is to find a reliable numerical algorithm to calculate thermal design sensitivities of a transient problem with discontinuous derivatives.
Hou, Jean W., Sheen, Jeen S.
core +1 more source
On the convergence of a class of numerical differentiation formulas
Not available.
Alexandru I. Mitrea
doaj +2 more sources
Non-linear regressio analysis for unconstrained optimization using numerical differentiation
Regression analysis is a method for establishing t he flffictional relationship between two variables where the variation in one measurement is considered while the other 15 held fixed.
Rafael Romero Silva
doaj
In this paper, the authorы solve the optimal control problem in the predator-prey model described by a system of Volterra integro-differential equations.
E. A. Andreeva, I. S. Mazurova
doaj
Some formulae for numerical differentiation and integration of analytic functions
Not available.
Dorel Homentcovschi
doaj
Experimental demonstration of spatiotemporal analog computation in ultrafast optics. [PDF]
Huang J +9 more
europepmc +1 more source
Occurrence and Impact of Electric-Field-Induced Discontinuities in Correlation Energies from Localized Pair-Natural-Orbital Methods. [PDF]
Madriaga JP, Crawford TD.
europepmc +1 more source
Characterization of Acute Myeloid Leukemia With t(16;21) Translocation: Cytogenetic, Molecular, and Immunophenotypic Findings. [PDF]
Bravo-Davila M +3 more
europepmc +1 more source
Effects of human chorionic gonadotropin on echotextural attributes of the original corpus luteum in Morada Nova ewes. [PDF]
Gonçalves JD +8 more
europepmc +1 more source

