SPICENet Visualization vs Simplex

SpiceNet is an educational and research-oriented simulation app for exploring SPICEnet, a self-organizing neural model for learning relationships between sensory inputs. Run simulations from generated data or import your own CSV file, adjust network and data parameters, and inspect the results through scatter plots, line charts, histograms, tuning curves, and heatmaps. The app also includes a theory section explaining the SPICEnet model and a benchmark tool for comparing standard Swift computation with Apple’s Accelerate framework. Features: - Run SPICEnet simulations from random data - Import CSV files and select columns for analysis - Adjust neurons, learning rate, initialization range, data count, transformation type, and chunk size - Visualize simulation output with multiple chart types - View explanatory SPICEnet theory content - Run local performance benchmarks - Export benchmark results as a PDF All simulations and file processing run locally on the device. Academic context: SpiceNet was developed by Omar Ashour as part of a bachelor thesis under the supervision of Prof. Dr.-Ing. Cristian Axenie at Technische Hochschule Nürnberg Georg Simon Ohm.

Do you spend hours solving algebraic matrices by hand, only to have a single sign error ruin your entire Linear Optimization exercise? Understanding the Simplex Algorithm in Operations Research can be frustrating. Current tools are clunky, confusing, and seem like they're from the 90s. DISCOVER SIMPLEX EDUCATIONAL The high-fidelity academic tool designed exclusively for iOS and iPadOS that transforms complex matrices into a fluid, readable, and intuitive visual experience. Perfect for students of Industrial Engineering, Economics, Business Administration, and optimization professionals. WHAT YOU CAN DO: • Dynamic Model Builder: Switch between Maximization (Max Z) and Minimization (Min Z). Enter constraints with operators (≤, ≥, =). • Intelligent Engine: Automatic conversion to Standard Form (injecting slack, surplus, and artificial variables). • Special Case Detection: Identifies unique, multiple (infinite), unbounded, or infeasible solutions without infinite loops. • Local History with SwiftData: Audit your past problems instantly, without re-entering large matrices. CHOOSE HOW TO LEARN: 1. FINAL RESULT MODE (Free): Your executive success card. Visualize the optimal vertex with specific color codes (Green for unique solution, Purple for multiple). 2. STEP-BY-STEP MODE: An interactive learning log that details each iteration and pivot in ultra-readable, single-spaced tables. Access it for free through rewarded ads or unlock it forever. PRO PASS (One-Time Payment - No Subscriptions): Completely remove ads, unlock unlimited offline Step-by-Step Guides, and export your completed exercises as LaTeX code or professional PDFs. Designed following Apple's guidelines to offer you a clean, dark, and fast interface. Pass your course without frustration!