Petr Ivankov, Shestov Max · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24492 · cited by 0 works (OpenAlex) · open-access PDF
Model komputasi khusus yang dikembangkan dalam .NET sering harus berjalan secara lokal dalam aplikasi web. Kami menyajikan Backend--Frontend Converter, arsitektur untuk menghasilkan implementasi TypeScript dari model berbasis komponen. Converter memetakan komponen, koneksi, alias, dan pohon rumus ke kode TypeScript spesifik model. Perpustakaan runtime yang dapat digunakan kembali menyediakan integrasi numerik, akses data, dan pengolahan keadaan. Kami mengevaluasi implementasi yang disimpan melalui empat skenario orbital dan perbandingan strategi perdagangan yang tercatat. Perhitungan orbital dijalankan dalam browser dan dikombinasikan dengan hasil C\# dengan melintasi peristiwa dan timestamp; output perdagangan disesuaikan berdasarkan tanggal. Analisis jadwal pengujian dan output yang disengaja mengevaluasi prosedur validasi. Setiap skenario
Machine translation (Meta M2M100); the English original follows.
Computational models developed in .NET often need to run locally within web applications. We present Backend--Frontend Converter, an architecture for generating TypeScript implementations of component-based models. The converter maps components, connections, aliases, and formula trees to model-specific TypeScript code. Reusable runtime libraries provide numerical integration, data access, and state handling. We evaluate stored generated implementations through four orbital scenarios and a recorded trading-strategy comparison. Orbital calculations execute in a browser and are paired with C\# results by crossing event and timestamp; trading outputs are aligned by date. Analytic scheduler tests and deliberately perturbed outputs assess the validation procedure. Each orbital scenario produces 91 paired events with identical timestamps. Position and velocity differences remain below $(10^{-6}\)~km$ and $(10^{-9}\)~km/s$. All 20 analytic scheduler checks pass, and the comparator detects each of three prescribed state and time perturbations. The trading comparison contains 501 aligned daily records with matching indicator values, positions, and order events. The evaluated implementations preserve the compared outputs across the C#/TypeScript boundary. Component-specific generation and reusable execution libraries provide a practical route from supported .NET computational models to TypeScript applications.
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Topics: TypeScript, Computer science, Matching (statistics), Implementation, State (computer science), Programming language
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