Numerical Methods: Solver

AppInitDev

Mayelana nalolu hlelo lokusebenza

Xazulula izinkinga eziyinkimbinkimbi zezibalo ngama-algorithms ezibalo ezinombolo anembile.
Yenzelwe abafundi bobunjiniyela, abacwaningi besayensi, kanye nochwepheshe bedatha.
Thola imiphumela eqinisekisiwe ngokusebenzisa amathebula e-logic esinyathelo ngesinyathelo kanye namathebula okuphindaphinda aphelele.

AMATHULUZI AYISIHLOKO ESIBALO
🧮 Ama-algorithms Okuthola Izimpande: Xazulula ama-equation angewona aqondile usebenzisa izindlela ze-Bisection kanye ne-Newton-Raphson ngamathebula okuhlangana.
📈 Ukuhlanganiswa Kwedatha: Yakha ama-polynomial okubikezela usebenzisa izindlela ze-Linear, Quadratic, Newton, kanye ne-Lagrange.
📊 Ukuguqulwa Kwezikwele Ezincane: Yenza ukulinganisa okuqinile kwejika kanye nokuguqulwa kwamamodeli kumasethi edatha e-empirical.
⚡ Ukucaca Kwesinyathelo Ngesinyathelo: Hlola ukulandelana okuphelele kokuphindaphinda, ama-matrices aphakathi, kanye nama-margin amaphutha.
📐 Amagrafu Omsebenzi Osebenzisanayo: Bona ngeso lengqondo imisebenzi, idatha amaphuzu, kanye nezindlela zokuhlangana kwe-algorithm ngesikhathi sangempela.

INDLELA YOKUSEBENZA
1. Khetha i-algorithm yezinombolo efanele umsebenzi wakho.
2. Faka amapharamitha omsebenzi, ama-matrix coefficients, noma ama-coordinates.
3. Setha imikhawulo yokubekezelelana kwamaphutha okuqondiwe kanye nokubalwa okuphezulu kokuphindaphinda.
4. Hlola izixazululo ezibaliwe, amathebula okuphindaphinda aphelele, kanye nama-plot.

UKUSEBENZA OKUBUMFIHLO NOKUSEBENZA KOBUCHWEPHESHE
🔒 Ukusebenza Kwendawo: Wonke ama-algorithms ekhompyutha asebenza kuphela kudivayisi ngaphandle kokuxhomekeka kwamafu.
⚡ Akuxhunyiwe Ku-inthanethi Ngokugcwele: Isebenza ngaphandle kokuxhumeka kwe-Wi-Fi noma kwenethiwekhi yeselula.
🛡️ Ubumfihlo Bedatha: Akukho ukuqoqwa kwe-telemetry, amaphrofayili abasebenzisi, noma idatha yomuntu siqu.

Nika amandla umsebenzi wakho wobunjiniyela kanye nocwaningo lokuhlaziya ngamathuluzi ezinombolo athembekile.

*Ihambisana ne-Android 7.0 nangaphezulu. Ilungiselelwe amaprosesa eselula angu-64-bit.

https://appinitdev.com/

Yini entsha

Optimized convergence routines for the Newton-Raphson algorithm, enhanced decimal precision across Lagrange polynomials, and fixed formatting issues in iteration tables.