Results 41 to 50 of about 597,383 (289)

A Hyper-Dual Number Approach to Higher-Order Derivative Computation

Axioms
This paper develops a theoretical framework for the computation of higher-order derivatives based on the algebra of hyper-dual numbers. Extending the classical dual number system, hyper-dual numbers provide a natural and rigorous mechanism for encoding ...
Ji Eun Kim
doaj   +1 more source

Holonomic quantum computation: a scalable adiabatic architecture [PDF]

Quantum
Holonomic quantum computation exploits the geometric evolution of eigenspaces of a degenerate Hamiltonian to implement unitary evolution of computational states.
Clara Wassner, Tommaso Guaita, Jens Eisert, Jose Carrasco   +3 more
doaj   +1 more source

tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing [PDF]

Genome Biology, 2020
Abstract Recent advances in long-read sequencing solve inaccuracies in alternative transcript identification of full-length transcripts in short-read RNA-Seq data, which encourages the development of methods for isoform-centered functional analysis.
Lorena de la Fuente, Ángeles Arzalluz-Luque, Manuel Tardáguila, Héctor del Risco, Cristina Martí, Sonia Tarazona, Pedro Salguero, Raymond Scott, Alberto Lerma, Ana Alastrue-Agudo, Pablo Bonilla, Jeremy R. B. Newman, Shunichi Kosugi, Lauren M. McIntyre, Victoria Moreno-Manzano, Ana Conesa   +15 more
openaire   +5 more sources

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

The First- and Second-Order Features Adjoint Sensitivity Analysis Methodologies for Neural Integro-Differential Equations of Volterra Type: Mathematical Framework and Illustrative Application to a Nonlinear Heat Conduction Model

Journal of Nuclear Engineering
This work presents the mathematical frameworks of the “First-Order Features Adjoint Sensitivity Analysis Methodology for Neural Integro-Differential Equations of Volterra-Type” (1st-FASAM-NIDE-V) and the “Second-Order Features Adjoint Sensitivity ...
Dan Gabriel Cacuci
doaj   +1 more source

Evolutionary Computation Methods and their applications in Statistics

Statistica, 2013
A brief discussion of the genesis of evolutionary computation methods, their relationship to artificial intelligence, and the contribution of genetics and Darwin’s theory of natural evolution is provided.
Francesco Battaglia
doaj   +1 more source

On the computation of attractors for delay differential equations

, 2015
In this work we present a novel framework for the computation of finite dimensional invariant sets of infinite dimensional dynamical systems. It extends a classical subdivision technique [Dellnitz/Hohmann 1997] for the computation of such objects of ...
Dellnitz, Michael, Molo, Mirko Hessel-von, Ziessler, Adrian   +2 more
core   +1 more source

Rare event simulation for multiscale diffusions in random environments [PDF]

, 2015
We consider systems of stochastic differential equations with multiple scales and small noise and assume that the coefficients of the equations are ergodic and stationary random fields.
Spiliopoulos, Konstantinos
core   +1 more source

Dynamic Bertrand and Cournot Competition: Asymptotic and Computational Analysis of Product Differentiation [PDF]

SSRN Electronic Journal, 2011
We study continuous time oligopolies in which a small number of firms producing similar goods compete with one another by setting prices or quantities. We study a deterministic version of the problem using an asymptotic expansion of the relevant HJB partial differential equations. We find in this setting that for firms with highly differentiated goods,
Andrew Ledvina, Ronnie Sircar
openaire   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source