On Convergence of a P-Algorithm Based on a Statistical Model of Continuously Differentiable Functions

Keyphrases

• Statistical Model 100%
• Continuously Differentiable Function 100%
• Global Optimization Problem 25%
• Stochastic Model 25%
• Convergence Property 25%
• Global Search 25%
• Original Algorithm 25%
• Optimization Search 25%
• Second Derivative 25%
• Local Component 25%
• Wiener Process 25%
• Global Minimizer 25%
• Wiener Process Model 25%

Mathematics

• Statistical Model 100%
• Continuously Differentiable Function 100%
• Objective Function 66%
• Wiener Process 66%
• Stochastic Model 33%
• Convergence Property 33%
• Global Minimizer 33%