Advanced Numerical Methods in Applied Sciences
| dc.contributor.author | Brugnano, Luigi | |
| dc.contributor.author | Iavernaro, Felice | |
| dc.date.accessioned | 2025-11-25T09:08:37Z | |
| dc.date.available | 2025-11-25T09:08:37Z | |
| dc.date.issued | 2019 | |
| dc.description | 306 p. | |
| dc.description.abstract | The use of scientific computing tools is currently customary for solving problems at several complexity levels in Applied Sciences. The great need for reliable software in the scientific community conveys a continuous stimulus to develop new and better performing numerical methods that are able to grasp the particular features of the problem at hand. This has been the case for many different settings of numerical analysis, and this Special Issue aims at covering some important developments in various areas of application. | |
| dc.identifier.isbn | 9783038976677 | |
| dc.identifier.uri | https://oerrepository.ntt.edu.vn/handle/298300331/1236 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.subject | time fractional differential equations | |
| dc.subject | mixed-index problems | |
| dc.subject | analytical solution | |
| dc.subject | asymptotic stability | |
| dc.subject | conservative problems | |
| dc.subject | Hamiltonian problems | |
| dc.subject | energy-conserving methods | |
| dc.subject | Poisson problems | |
| dc.subject | Hamiltonian Boundary Value Methods | |
| dc.title | Advanced Numerical Methods in Applied Sciences | |
| dc.type | Book | |
| dcterms.license | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |