Languages
          
        
        
      Wang, Xu.
Overview
            | Works: | 1 works in 1 publications in 1 languages | |
|---|---|---|
Titles
          
                  
                    Advances in Data Science
                  
                  by: 
                  Wang, Xu.; Lou, Yifei.; SpringerLink (Online service); Demir, Ilke.; Welker, Kathrin.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Invariant Measures for Stochastic Nonlinear Schrödinger Equations = Numerical Approximations and Symplectic Structures /
                  
                  by: 
                  Hong, Jialin.; Wang, Xu.; SpringerLink (Online service)
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/aut]
                  
                
                  
                    Recent Developments in Mathematical, Statistical and Computational Sciences = The V AMMCS International Conference, Waterloo, Canada, August 18–23, 2019 /
                  
                  by: 
                  SpringerLink (Online service); Kilgour, D. Marc.; Melnik, Roderick.; Kunze, Herb.; Makarov, Roman.; Wang, Xu.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Energy Consumption, Chemical Use and Carbon Footprints of Wastewater Treatment Alternatives = Assessment Methodology and Sustainability Solutions /
                  
                  by: 
                  SpringerLink (Online service); Wang, Xu.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/aut]
                  
                
                  
                    Recent Advances in Mathematical and Statistical Methods  = IV AMMCS International Conference, Waterloo, Canada, August 20–25, 2017 /
                  
                  by: 
                  Kilgour, D. Marc.; Melnik, Roderick.; SpringerLink (Online service); Wang, Xu.; Kunze, Herb.; Makarov, Roman.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Automotive tire noise and vibrations = analysis, measurement and simulation /
                  
                  by: 
                  Wang, Xu.
                  (Language materials, printed)
                  
                  
                
                
          Subjects
          
            
              
                Computer mathematics.
              
            
              
                Environmental sciences.
              
            
              
                Computer science—Mathematics.
              
            
              
                Tire/pavement noise
              
            
              
                Image Processing and Computer Vision.
              
            
              
                Numerical analysis.
              
            
              
                Probability Theory and Stochastic Processes.
              
            
              
                Mathematics in the Humanities and Social Sciences.
              
            
              
                Environmental Science and Engineering.
              
            
              
                Mathematical and Computational Biology.
              
            
              
                Tire/pavement noise.
              
            
              
                Sustainable development.
              
            
              
                Probabilities.
              
            
              
                Partial Differential Equations.
              
            
              
                Statistics .
              
            
              
                Sustainable Development.
              
            
              
                Probability and Statistics in Computer Science.
              
            
              
                Ergodic theory.
              
            
              
                Partial differential equations.
              
            
              
                Mathematical statistics.
              
            
              
                Mathematical Applications in Computer Science.
              
            
              
                Mathematics.
              
            
              
                Biomathematics.
              
            
              
                Biotechnology.
              
            
              
                Environmental Engineering/Biotechnology.
              
            
              
                Engineering mathematics.
              
            
              
                Computational Science and Engineering.
              
            
              
                Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution.
              
            
              
                Optical data processing.
              
            
              
                Mathematical models.
              
            
              
                Water pollution.
              
            
              
                Calculus of Variations and Optimal Control; Optimization.
              
            
              
                Calculus of variations.
              
            
              
                Environmental engineering.
              
            
              
                Dynamics.
              
            
              
                Applied mathematics.
              
            
              
                Dynamical Systems and Ergodic Theory.
              
            
              
                Mathematical Modeling and Industrial Mathematics.
              
            
              
                Statistics for Life Sciences, Medicine, Health Sciences.
              
            
              
                Social sciences.
              
            
              
                Numerical Analysis.
              
            
              
                Applications of Mathematics.