Recent Advances in Scientific Computing & Applications

Dear Colleagues,

New opportunities have appeared in the scientific research and applications of dynamic systems involving artificial intelligence or quantum computing.  Both are mixed in classical computation, leading to new concepts, methods, and approaches. New relations link abstract or physical entities, often beyond human understanding.

High-speed information transfer and communication benefit from new technology, leading to new support for dynamic systems. 

The newly conceived theories should involve different approaches for their validation, but these have to be generally approved and accepted by scientific societies. These theories can be applied to practical applications, but they need new, clear specifications and requirements for this purpose.

There is a gap between the complex mathematical techniques that sustain the new theories and their potential practical applications. The expected contributions can cover this gap for the benefit of the entire research community. 

Prof. Dr. Tiberiu Letia
Prof. Dr. Nicolae Tudoroiu
Guest Editors

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• classical and quantum computing
• classical and quantum computer interactions
• application development technology
• artificial intelligence
• research methodology
• dynamic control
• evolutionary systems involved in dynamic systems
• model finding, simulation and identification
• algorithm synthesis
• conceptual and theoretical frameworks

• Information Theory Applied in Scientific Computing in Mathematics (4 articles)