This Conference NCP07 will bring together most leading specialists in both theoretical and computational aspects of local and global approaches to nonconvex programming to highlight recent advances, foster interaction and collaboration, and to discuss how to expand the role of these fields in a lot of potential high-impact application areas, such as (but not limited to):
- Chemical and Process Engineering
- Classification, MDS
- Computational Biology/Bioinformatics
- Computational Materials Science
- Computer Vision and Robotics
- Cryptography
- Data Mining
- Electrical and Control Engineering
- Engineering Design
- Finance, Financial Engineering
- Information and Technology Systems
- Industrial Engineering
- Information and Communication Networks
- Information Systems and Security
- Intelligent Information and Technology
- Management Science
- Mathematical Economics
- Mechanical and Structural Engineering
- Multidisciplinary Design Optimization
- Neuroscience and Cognition
- Operations Research
- Pattern Recognition
- Refining and Petrochemicals
- Reliability, Quality and Safety Engineering
- Robotics and Control
- Seismic Optimization
- Signal and Image Processing
- Tomography
- Transportation
- Production Planning and Scheduling
- Logistics, etc

Topics include (but not limited to):

- Automatic Differentiation
- Integer Programming, Combinatorial Optimization
- Complementarity Problems
- Concave Minimization Programming
- Constraint Satisfaction
- DC programming
- Dynamic Programming
- Exact Penalty Techniques and Error Bounds
- Fuzzy Optimization
- Game Theory
- Global Optimization
- Heuristic and/or Meta-Heuristic Methods
- Interior Point Methods
- Inverse and Ill-posed Problems
- LMI
- Machine Learning, SVM
- Mathematical Programs with Equilibrium Constraints
- Monotonic Optimization
- Multiobjective Optimization
- Network Optimization
- Neural Network
- Nonconvex Quadratic Programming
- Nonlinear Multilevel Programming
- Nonlinear Programming
- Nonsmooth Optimization
- Optimal Control
- PDE Level Set Methods
- Polynomial Optimization
- Reformulation Techniques
- Robust Optimization
- Semidefinite Programming
- Shape Optimization
- Statistical Learning and Kernel Methods
- Stochastic Optimization
- Semi-infinte Programming
- Variational Inequalities
- Variational Methods for PDE, etc.

Contributions to the mathematical modelling and the solution of real-life problems are particularly appreciated

To submit extended abstracts, proposals of special sessions and papers to Special Issues dedicated to NCP07, you can refer to the related menu items.