• Aucun résultat trouvé

Conversion de Nombres Décimaux en Nombres Octaux (A)

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Conversion de Nombres Décimaux en Nombres Octaux (A)"

Copied!
2
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

Conversion D´ecimal en Octal (A)

Ecrivez chaque nombre dans le syst`eme de num´eration de base indiqu´e.

1. D´ecimal = 9 Octal = 2. D´ecimal = 70 Octal = 3. D´ecimal = 837 Octal = 4. D´ecimal = 296 Octal = 5. D´ecimal = 225 Octal = 6. D´ecimal = 586 Octal = 7. D´ecimal = 801 Octal = 8. D´ecimal = 482 Octal = 9. D´ecimal = 8515 Octal = 10. D´ecimal = 7910 Octal = MathsLibres.com

(2)

Conversion D´ecimal en Octal (A) R´eponses

Ecrivez chaque nombre dans le syst`eme de num´eration de base indiqu´e.

1. D´ecimal = 9 Octal = 11 2. D´ecimal = 70 Octal = 106 3. D´ecimal = 837 Octal = 1505 4. D´ecimal = 296 Octal = 450 5. D´ecimal = 225 Octal = 341 6. D´ecimal = 586 Octal = 1112 7. D´ecimal = 801 Octal = 1441 8. D´ecimal = 482 Octal = 742 9. D´ecimal = 8515 Octal = 20503 10. D´ecimal = 7910 Octal = 17346 MathsLibres.com

Références

Télécharger maintenant ( PDF - 2 Page - 31.45 KB )

Documents relatifs

Comparison of airborne in-situ, airborne radar-lidar, and spaceborne radar-lidar retrievals of polar ice cloud properties sampled during the POLARCAT campaign

As the sampled ice cloud was simultaneously observed by CloudSat and Cloud–Aerosol Lidar and Infrared Path- finder Satellite Observations (CALIPSO) satellites, a new way to

Influence of Different Microphysical Schemes on the Prediction of Dissolution of Nonreactive Gases by Cloud Droplets and Raindrops

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Calibration of SCIAMACHY Using AATSR Top-of-Atmosphere Reflectance Over a Hurricane

Specifically, considering AATSR calibration as accurate, which is confirmed by comparison with MERIS (Smith, 2005), the SCIAMACHY top-of-atmosphere reflectances should be

Evaluation of radar reflectivity factor simulations of ice crystal populations from in situ observations for the retrieval of condensed water content in tropical mesoscale convective systems

This study presents the evaluation of a technique to estimate cloud condensed water content (CWC) in tropi- cal convection from airborne cloud radar reflectivity factors at 94 GHz

Néphélomètre polaire à double polarisation : incertitude et validation des mesures

Bien que le D2PN soit conçu pour mesurer les propriétés de diffusion de tout type de particules, quelle que soit leur forme, la validation des données a été faite dans le cas de

A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data

As the WRF microphysics scheme accounts for aerosols only within liquid clouds, comparison among predicted cloud optical and microphysical properties with MODIS data was done

Impacts of cloud heterogeneities on cirrus optical properties retrieved from space-based thermal infrared radiometry

Figure 9 shows the impact of cirrus heterogeneities on the retrieved effective emissivity and on the effective optical thickness as a function of the standard deviation of the opti-