Avancerad sökning
Hittade 2 avhandlingar som matchar ovanstående sökkriterier.
1. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation
Sammanfattning : This thesis proposes and analyzes several first-order methods for convex optimization, designed for parallel implementation in shared and distributed memory architectures. The theoretical focus is on designing algorithms that can run asynchronously, allowing computing nodes to execute their tasks with stale information without jeopardizing convergence to the optimal solution. LÄS MER
2. Asynchronous First-Order Algorithms for Large-Scale Optimization : Analysis and Implementation
Sammanfattning : Developments in communication and data storage technologies have made large-scale data collection more accessible than ever. The transformation of this data into insight or decisions typically involves solving numerical optimization problems. LÄS MER