# Tupleconject

> Utilities

Canonical page: [https://chrome-stats.com/d/id6762115936](https://chrome-stats.com/d/id6762115936)

## Overview

- **ID:** `id6762115936`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Removed
- **Publisher:** Long Dam Thanh
- **Category:** Utilities
- **Version:** 1.0.1
- **Last updated:** 2026-04-16
- **Size:** 6.20 MB
- **Data as of:** 2026-04-30
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/tupleconject/id6762115936)
- **Privacy policy:** [https://www.freeprivacypolicy.com/live/b92c52c4-f749-4a15-9ffc-134c3b2c7d37](https://www.freeprivacypolicy.com/live/b92c52c4-f749-4a15-9ffc-134c3b2c7d37)

## Description

A professional level analytical tool that deeply focuses on the distribution patterns of prime numbers and verifies classical number theory conjectures. The applications cover core areas such as Chebyshev θ (x) and ψ (x) functions, Hardy Littlewood k-tuple conjecture, prime interval distribution, twin prime law, Riemann Zeta function zero point error analysis, and Cram é r prime model. Each analysis module integrates input validation, visual charts, and theoretical documentation, and supports real-time numerical calculations within the range of 1000 to 10000000. Users can observe the degree of approximation between θ (x) and x · log x through histograms, visually identify prime number patterns through k-tuple constellation diagrams, compare the accuracy decay of prime number theorems through π (x)/Li (x) curves, adjust confidence intervals using the Riemann Hypothesis module, and dynamically choose whether to derive error bounds based on Riemann hypothesis.

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6762115936)
