Enhancing the scalability of selected inversion factorization algorithms in genomic prediction
F Verbosio, A De Coninck, D Kourounis… - Journal of computational …, 2017 - Elsevier
A parallel distributed-memory approach for the exact calculation of selected entries of the
inverse of a matrix arising in a Best Linear Unbiased Estimation (BLUE) problem in genomic …
inverse of a matrix arising in a Best Linear Unbiased Estimation (BLUE) problem in genomic …
An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding
J He, S Meng, T Zhao, G Xing, S Yang, Y Li… - Theoretical and Applied …, 2017 - Springer
Key message The innovative RTM-GWAS procedure provides a relatively thorough
detection of QTL and their multiple alleles for germplasm population characterization, gene …
detection of QTL and their multiple alleles for germplasm population characterization, gene …
[HTML][HTML] A hybrid multi-phase field model to describe cohesive failure in orthotropic materials, assessed by modeling failure mechanisms in wood
Fracture mechanics is crucial for many fields of engineering applications, as precisely
predicting failure of structures and parts is required for efficient designs. The simulation of …
predicting failure of structures and parts is required for efficient designs. The simulation of …
Shape approximation by developable wrapping
We present an automatic tool to approximate curved geometries with piece-wise
developable surfaces. At the center of our work is an algorithm that wraps a given 3D input …
developable surfaces. At the center of our work is an algorithm that wraps a given 3D input …
[HTML][HTML] Validation of a hybrid multi-phase field model for fracture of wood
Fracture mechanics simulations are crucial for understanding the failure of wood, where the
microstructure strongly influences mechanical properties. In particular, complex crack …
microstructure strongly influences mechanical properties. In particular, complex crack …
[HTML][HTML] Integrating economic and engineering models for future electricity market evaluation: A Swiss case study
The addition of stochastic renewable resources within modern electricity markets creates a
need for more flexible generation assets and for appropriate mechanisms to ensure capacity …
need for more flexible generation assets and for appropriate mechanisms to ensure capacity …
The shape space of discrete orthogonal geodesic nets
M Rabinovich, T Hoffmann… - ACM Transactions on …, 2018 - dl.acm.org
Discrete orthogonal geodesic nets (DOGs) are a quad mesh analogue of developable
surfaces. In this work we study continuous deformations on these discrete objects. Our main …
surfaces. In this work we study continuous deformations on these discrete objects. Our main …
A large-scale comparison of tetrahedral and hexahedral elements for solving elliptic pdes with the finite element method
The Finite Element Method (FEM) is widely used to solve discrete Partial Differential
Equations (PDEs) in engineering and graphics applications. The popularity of FEM led to the …
Equations (PDEs) in engineering and graphics applications. The popularity of FEM led to the …
Modeling curved folding with freeform deformations
M Rabinovich, T Hoffmann… - ACM Transactions on …, 2019 - dl.acm.org
We present a computational framework for interactive design and exploration of curved
folded surfaces. In current practice, such surfaces are typically created manually using …
folded surfaces. In current practice, such surfaces are typically created manually using …
Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program
AM Bernal-Vasquez, A Gordillo, M Schmidt, HP Piepho - BMC genetics, 2017 - Springer
Background The use of multiple genetic backgrounds across years is appealing for genomic
prediction (GP) because past years' data provide valuable information on marker effects …
prediction (GP) because past years' data provide valuable information on marker effects …