Sökning: "Large-scale optimization"

Visar resultat 1 - 5 av 184 avhandlingar innehållade orden Large-scale optimization.

1. 1. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation

   Författare :Arda Aytekin; Mikael Johansson; Panagiotis K. Patrinos; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; convex optimization; optimization; asynchronous algorithms; algorithms; parallel algorithms; large-scale; big data; Electrical Engineering; Elektro- och systemteknik;

   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

3. 2. Asynchronous First-Order Algorithms for Large-Scale Optimization : Analysis and Implementation

   Författare :Arda Aytekin; Mikael Johansson; Lin Xiao; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; convex; optimization; asynchronous; algorithms; parallel; distributed; large-scale; big data; software; serverless; Electrical Engineering; Elektro- och systemteknik;

   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

4. 3. Accelerating Convergence of Large-scale Optimization Algorithms

   Författare :Euhanna Ghadimi; Mikael Johansson; Angelia Nedich; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Convex optimization; Large-scale systems; First-order methods; Convergence analysis; ADMM; Optimization algorithms; Electrical Engineering; Elektro- och systemteknik; Matematik; Mathematics;

   Sammanfattning : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. LÄS MER

5. 4. Compositional optimization of large-scale discrete event systems

   Författare :Fredrik Hagebring; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Discrete Event Systems; Automation; Large-scale optimization; Discrete Optimization; Compositional Optimzation;

   Sammanfattning : Optimization of industrial processes such as manufacturing cells can have great impact on their performance. Finding optimal solutions to these large-scale systems is, however, a complex problem. They typically include multiple subsystems, and the search space generally grows exponentially with each subsystem. LÄS MER

7. 5. Distributed Stochastic Programming with Applications to Large-Scale Hydropower Operations

   Författare :Martin Biel; Mikael Johansson; Lennart Söder; David Woodruff; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; stochastic programming; distributed; algorithms; large-scale; optimization; hydropower; software; julia language; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Stochastic programming is a subfield of mathematical programming concerned with optimization problems subjected to uncertainty. Many engineering problems with random elements can be accurately modeled as a stochastic program. In particular, decision problems associated with hydropower operations motivate the application of stochastic programming. LÄS MER